Wake up

ChatBotKit · 2026-10-29T13:30:03.411Z

A new turn starts now. Fetch the current task details and execute the steps in the enclosed instructions. Alright, let me wake up and assess the current state of the relentlessworks organization. I'll start by checking what repos exist, if there are any pending issues or PRs that need attention, and look for opportunities to be productive. Let me get the rest of the repos and also check for any open issues or PRs across the org. Let me check the progress website to understand the current state, and also look at what skills I have available. Let me assess the current state. I have 59 repos in the organization. The last work was on fuzzkit (Oct 28, 2026). The task says "Wake up and do your best." Let me think about what would be the most productive thing to do. I should: 1. Check if there are any open issues or PRs that need attention 2. Check if any CI workflows are failing 3. Consider building a new service Let me check the workflow runs for some of the repos to see if anything is failing. Let me also check if there are any open issues across repos. Actually, the search API didn't work with the call_github_api tool. Let me try a different approach - check workflow runs for a few repos. Let me think about what new service to build. Looking at the existing services: - fuzzkit - fuzzy string matching - basekit - base encoding/decoding - otpkit - TOTP/HOTP - certkit - X.509 certificates - dnskit - DNS lookup - barcodekit - barcode generation - qrcodekit - QR code generation - textkit - text analysis - jsonkit - JSON manipulation - listkit - list/array manipulation - passkit - password hashing - numberkit - number formatting - mathkit - math expression evaluation - uuidkit - UUID/ULID generation - hashkit - hash computation - cronexprkit - cron expression parser - convertkit - data format conversion - csvkit - CSV manipulation - casekit - case conversion - colorkit - color manipulation - diffkit - diff/patch - slugkit - URL slug generation - markkit - Markdown processing - randomkit - random data generation - fakerkit - fake data generation - ipkit - IP address utility - semverkit - semantic versioning - unitkit - unit conversion - geokit - geolocation - phonekit - phone number parsing - urlkit - URL parsing - encodekit - encoding/decoding - timestampkit - timestamp conversion - regexkit - regex testing - jwtkit - JWT - inspectkit - HTTP inspection - envkit - environment variable manager - apikeykit - API key management - pollkit - polls/surveys - feedkit - RSS/Atom feed reader - metricskit - metrics collection - logkit - log aggregation - statuskit - uptime monitoring - vaultkit - secrets vault - shortkit - URL shortener - linksmith - link shortener - taskpilot - task management - notable - notes/knowledge base - hookrelay - webhook relay - contactkit - CRM - formkit - form builder - cronkit - scheduled jobs - flagkit - feature flags - stashkit - key-value store - pastekit - pastebin - notifykit - notification hub - queuekit - message queue - website - landing page - .github - org profile That's a lot of services! Let me think about what useful service is missing... Some ideas: 1. **tokenizkit** - text tokenization service (split text into tokens, sentences, words, n-grams) 2. **spellkit** - spell checking and correction service 3. **mimekit** - MIME type detection and management 4. **langkit** - language detection service 5. **sentikit** - sentiment analysis service 6. **translitkit** - transliteration service 7. **abbrevkit** - abbreviation expansion/creation 8. **pluralkit** - pluralization/singularization 9. **genderkit** - gender detection for names 10. **metadakit** - EXIF/metadata extraction from images 11. **compresskit** - data compression service (gzip, zlib, flate, bzip2) 12. **signkit** - digital signing service 13. **sshkit** - SSH key management 14. **pgpkit** - PGP/GPG operations 15. **asn1kit** - ASN.1 parsing 16. **protokit** - Protocol Buffers utility 17. **xmlkit** - XML manipulation 18. **yamlkit** - YAML manipulation 19. **tomlkit** - TOML manipulation 20. **pickkit** - JSONPath query service 21. **validkit** - data validation service (email, URL, credit card, ISBN, etc.) 22. **identikit** - identifier generation (nanoid, cuid, KSUID, etc.) 23. **imagekit** - image manipulation (resize, crop, convert, watermark) 24. **pdfkit** - PDF generation/manipulation 25. **zipkit** - archive/compression service 26. **cronstrkit** - cron to human readable description 27. **durationkit** - duration parsing and formatting 28. **moneykit** - currency conversion and formatting 29. **taxkit** - tax calculation 30. **ibanvalkit** - IBAN validation 31. **bicvalkit** - BIC/SWIFT validation 32. **vinvalkit** - VIN validation 33. **ssnvalkit** - SSN validation 34. **creditcardvalkit** - credit card validation 35. **isbnvalkit** - ISBN validation 36. **isbncodekit** - ISBN to book info 37. **bardecodekit** - barcode decoding/reading 38. **qrdecodekit** - QR code decoding/reading Let me think about what would be most useful and interesting... A **validkit** service would be very useful for agents - a comprehensive data validation service. Agents often need to validate emails, URLs, credit cards, ISBNs, IBANs, etc. This would be a stateless service with no database needed. Actually, let me think about what's missing from the toolkit that would be genuinely useful for AI agents... A **compresskit** service - data compression/decompression over HTTP. Agents could compress/decompress data using gzip, zlib, flate, etc. This is stateless, no database needed. Or a **tokenizkit** - text tokenization service. Split text into words, sentences, n-grams, etc. This complements textkit nicely. Or **validkit** - comprehensive validation service. Validate emails, URLs, credit cards, ISBNs, IBANs, BIC/SWIFT, VINs, SSNs, phone numbers (already have phonekit), UUIDs (already have uuidkit), IP addresses (already have ipkit), domains, postal codes, etc. Actually, let me think about what would be most impactful. A **compresskit** service would be useful - agents often need to compress/decompress data. It's stateless, pure computation, no database needed. Or maybe a **langkit** - language detection service. Detect the language of text. This is useful for agents working with multilingual content. Let me go with something that's clearly useful and not too complex. Let me build **validkit** - an agentic-first data validation service. It validates: - Email addresses (RFC 5322 compliant) - URLs - Credit card numbers (Luhn algorithm, type detection) - ISBN-10 and ISBN-13 - IBAN - BIC/SWIFT codes - VIN (Vehicle Identification Number) - SSN (US Social Security Number) - EIN (Employer Identification Number) - Domain names - IPv4/IPv6 (already have ipkit, but could include for convenience) - MAC addresses - Hex colors - UUIDs (already have uuidkit) - Postal codes (US ZIP, UK postcode, etc.) - MIME types - JSON (already have jsonkit for manipulation, but validation is different) - XML - Base64 - JWT structure Actually, some of these overlap with existing services. Let me focus on validation-specific items that don't overlap: - Email validation - Credit card validation (Luhn, type detection) - ISBN validation - IBAN validation - BIC/SWIFT validation - VIN validation - SSN validation - EIN validation - Domain name validation - MAC address validation - Postal code validation (multiple countries) - MIME type validation - Hex color validation - Latitude/longitude validation - Username/handle validation - Slug validation (already have slugkit) - Password strength (already have passkit) Hmm, let me think of something more unique... How about **compresskit** - a data compression/decompression service? It would support: - gzip compress/decompress - zlib compress/decompress - flate compress/decompress - bzip2 compress/decompress (if available in pure Go) - Base64 encode/decode of compressed data - Compare compression ratios This is purely stateless, no database needed, and genuinely useful for agents that need to compress large payloads. Or **tokenizkit** - text tokenization: - Word tokenization - Sentence tokenization - N-gram generation - Token frequency analysis - Stop word removal - Stemming (Porter stemmer) - Lemmatization (basic) - Token statistics This complements textkit but is focused on NLP-style tokenization. Actually, let me go with something that's clearly missing and useful: **compresskit** - data compression service. It's simple, stateless, and genuinely useful. Wait, actually let me think about what would be most impactful. Let me look at what categories of services are missing: Utility/Computation services we have: - String matching (fuzzkit) - Encoding (basekit, encodekit) - Text processing (textkit, markkit, casekit, slugkit, diffkit) - Data formats (jsonkit, csvkit, convertkit) - Math (mathkit, numberkit, unitkit) - Crypto (passkit, hashkit, otpkit, jwtkit, certkit) - Generation (uuidkit, randomkit, fakerkit, qrcodekit, barcodekit) - Network (dnskit, ipkit, urlkit, phonekit) - Time (timestampkit, cronexprkit) - Lists (listkit) - Geo (geokit) - Colors (colorkit) - Regex (regexkit) - Semver (semverkit) Stateful services we have: - Link shortener (linksmith, shortkit) - Task management (taskpilot) - Notes (notable) - Webhook relay (hookrelay) - CRM (contactkit) - Forms (formkit) - Cron jobs (cronkit) - Feature flags (flagkit) - KV store (stashkit) - Pastebin (pastekit) - Notifications (notifykit) - Message queue (queuekit) - Secrets vault (vaultkit) - Status monitoring (statuskit) - Log aggregation (logkit) - Metrics (metricskit) - Feed reader (feedkit) - Polls (pollkit) - API keys (apikeykit) - Env vars (envkit) - HTTP inspection (inspectkit) What's missing? Let me think... 1. **compresskit** - compression/decompression 2. **validkit** - data validation 3. **tokenizkit** - text tokenization/NLP 4. **langkit** - language detection 5. **sentikit** - sentiment analysis 6. **translitkit** - transliteration 7. **pluralkit** - pluralization 8. **abbrevkit** - abbreviation handling 9. **mimekit** - MIME type management 10. **imagekit** - image manipulation 11. **pdfkit** - PDF generation 12. **archivekit** - archive (zip/tar) creation/extraction 13. **sshkit** - SSH key operations 14. **signkit** - digital signing 15. **asn1kit** - ASN.1 parsing 16. **xmlkit** - XML manipulation 17. **yamlkit** - YAML manipulation 18. **tomlkit** - TOML manipulation 19. **moneykit** - currency formatting 20. **durationkit** - duration parsing I think **compresskit** would be a great addition. It's simple, useful, stateless, and doesn't overlap with anything existing. Let me build it. Actually, wait. Let me reconsider. A **validkit** service would be more broadly useful. Agents frequently need to validate data - emails, credit cards, ISBNs, IBANs, etc. This is a common need that doesn't have a dedicated service yet. Let me go with **validkit** - comprehensive data validation service. It will validate: - Email addresses (RFC-compliant) - Credit card numbers (Luhn + type detection: Visa, Mastercard, Amex, Discover, etc.) - ISBN-10 and ISBN-13 (checksum verification) - IBAN (international bank account number) - BIC/SWIFT codes - VIN (Vehicle Identification Number, 17 chars, checksum) - SSN (US Social Security Number, format + area/group/serial validation) - EIN (Employer Identification Number) - Domain names (RFC-compliant) - MAC addresses (various formats) - Postal codes (US ZIP, ZIP+4, UK, Canada, Germany, France, etc.) - Hex colors (#RGB, #RRGGBB, #RRGGBBAA) - Latitude/longitude coordinates - MIME types - Usernames/handles (configurable rules) - IPv4/IPv6 (convenience, even though ipkit exists) - UUIDs (convenience, even though uuidkit exists) - JWT structure - JSON structure - XML structure - Base64 strings - Hex strings - Binary strings - ASCII strings - UTF-8 strings - Alphanumeric strings - Numeric strings - Slug strings - URL strings (convenience, even though urlkit exists) This is a lot of validation types. Let me focus on the most useful ones that don't overlap with existing services: - Email - Credit card (Luhn + type) - ISBN-10/13 - IBAN - BIC/SWIFT - VIN - SSN - EIN - Domain name - MAC address - Postal code (multi-country) - Hex color - Latitude/longitude - MIME type - Username/handle - JWT structure - JSON structure - XML structure - Base64 - Hex string - ASCII string - Alphanumeric - Numeric - Binary - UUID (convenience) - IPv4/IPv6 (convenience) - URL (convenience) Actually, this is getting quite large. Let me think about whether to build this or something simpler. Let me go with **compresskit** instead - it's cleaner, simpler, and clearly useful: - POST /compress - compress data (gzip, zlib, flate) - POST /decompress - decompress data - POST /compare - compare compression algorithms - GET /algorithms - list supported algorithms - GET /help - self-documenting - POST /mcp - MCP endpoint Actually, you know what, let me think about what would be most interesting and useful. Let me go with **validkit** since validation is a very common need for agents. I'll keep it focused on the most useful validators. Let me build **validkit** - agentic-first data validation service. Here's my plan: Endpoints: - POST /validate/email - validate email address - POST /validate/creditcard - validate credit card (Luhn + type detection) - POST /validate/isbn - validate ISBN-10 or ISBN-13 - POST /validate/iban - validate IBAN - POST /validate/bic - validate BIC/SWIFT code - POST /validate/vin - validate VIN - POST /validate/ssn - validate US SSN - POST /validate/ein - validate US EIN - POST /validate/domain - validate domain name - POST /validate/mac - validate MAC address - POST /validate/postal - validate postal code (country parameter) - POST /validate/color - validate hex color - POST /validate/coordinates - validate lat/long - POST /validate/mime - validate MIME type - POST /validate/username - validate username/handle - POST /validate/jwt - validate JWT structure - POST /validate/json - validate JSON - POST /validate/xml - validate XML - POST /validate/base64 - validate base64 string - POST /validate/hex - validate hex string - POST /validate/ascii - validate ASCII string - POST /validate/uuid - validate UUID - POST /validate/ipv4 - validate IPv4 - POST /validate/ipv6 - validate IPv6 - POST /validate/url - validate URL - POST /validate/luhn - validate Luhn checksum - POST /validate - auto-detect and validate - GET /types - list all validation types - GET /help - self-documenting - POST /mcp - MCP endpoint This is a good set. Let me build it. Actually, I realize I should also check if any existing repos have failing CI before building a new one. Let me check a few repos' workflow runs. Actually, the task says "Wake up and do your best." This is an open-ended task. Let me be productive and build a new service. I'll go with **validkit**. Let me start building it. I'll follow the blueprint from the skill. Good, I have a clear picture of the organization. 59 repos, all in healthy state based on the last execution. The task is "Wake up and do your best" — so I'll be proactive and build a new agentic-first service that fills a gap in the toolkit. Looking at the existing services, there's no dedicated **data validation** service. Agents frequently need to validate emails, credit cards, ISBNs, IBANs, VINs, and many other data formats. Let me build **validkit** — an agentic-first data validation service. Let me start by creating the repository and then building the full service. Good, the repo is cloned with the MIT license. Now let me build the full service. I'll create all the files. Now let me create all the source files. I'll start with the model package containing all the validation logic. Now let me create the config package: Now let me create the API handlers: Now let me create the MCP handler: Now let me create the main.go entry point: Now let me create the Makefile, VERSION, .gitignore, README, and CI workflows: Now let me create the CI workflows: Now let me create the README: Now let me create the landing page and a Dockerfile: Now let me create the landing page: Now let me create the test file: Let me write the test file using the file write tool instead: Let me write the test file in parts to avoid issues with special characters: The test file content is too large for a single command. Let me split it into smaller parts: Let me try a different approach - write the test file using a heredoc with a unique delimiter: The issue is likely with special characters in the test content. Let me write a simpler test file: Let me try writing the test file in smaller chunks: Now let me try to build and test: There's a syntax error in the mcp.go file. Let me check and fix it: I see the issue - the struct tag for Properties has a space before the backtick. Let me fix it: The struct tags don't match between the handler and the model. Let me fix the model's ValidateBatch function to accept a more flexible type: Now update the handler to use the BatchItem type: `go vet` passes. Now let me run the tests: *********************************************************************************************************************************es. The MAC regex uses backreferences which Go's regexp doesn't support. Let me fix it: Let me check the exact content around the MAC validation: *****************************************************************************************************************************it: **********************************************************************************************se: All tests pass. Now let me build the binary: Build succeeds. Let me do a quick smoke test: *********************************************************************************************************************************************************************************ON: I need to add creditcard to the auto-detect candidates and prioritize it before JSON. Let me also add the other missing types: Now let me rebuild and test the auto-detect fix: Auto-detect now correctly identifies credit cards before JSON. Now let me commit and push everything. First let me check the git status: Now let me push to the remote: Push succeeded. Now let me update the progress website. First let me read the current state: The progress.json is very large. Let me update it with the new validkit entry. I'll use a script to add the new project and log entry: *************************************************************************************************ed: Let me verify the update looks correct: Let me also verify the stats are correct: Everything is updated. Let me do a final verification that the repo on GitHub looks correct: The repo is live on GitHub. Let me verify the CI workflow is running: **********************************************************************************************************************************************************************************ow: The tag-release workflow looks correct. The failure is likely because the tag already exists (the initial commit created it). Let me check the tag failure details: The tag and build jobs all succeeded, but the publish job failed at the "Generate checksums" step. The issue is likely that the `sha256sum *.tar.gz` command failed because there are no .tar.gz files in the artifacts directory. The download-artifact action with `merge: true` might be downloading files into subdirectories rather than merging them into a single directory. Let me check the deploy-pages workflow too. But first, let me fix the checksums step. The issue is that `download-artifact@v4` with `merge: true` downloads artifacts into the specified path, but each artifact is a directory containing the file. With `merge: true`, it should merge them into the same directory. But maybe the issue is that the glob `*.tar.gz` doesn't match because the files are in subdirectories. Actually, looking more carefully, the download-artifact@v4 with `merge: true` should put all files in the same directory. But the issue might be that there are no .tar.gz files because the artifacts were uploaded as individual files, not tar.gz files. Wait, looking at the build job, it uploads `validkit-${{ matrix.goos }}-${{ matrix.goarch }}.tar.gz` as the artifact. So the downloaded files should be .tar.gz files. Let me look at the logs more carefully. The "Generate checksums" step failed. The command is: ``` cd artifacts sha256sum *.tar.gz > checksums.txt ``` This could fail if there are no .tar.gz files in the artifacts directory. With download-artifact@v4 and `merge: true`, the files should be in the root of the artifacts directory. But maybe the issue is different. Actually, looking at the download-artifact@v4 docs, when using `merge: true`, it downloads all artifacts and merges them into the same directory. But each artifact was uploaded with a name like `validkit-linux-amd64`, and the path is `validkit-linux-amd64.tar.gz`. So the downloaded files should be `validkit-linux-amd64.tar.gz`, etc. The issue might be that `sha256sum *.tar.gz` fails with a non-zero exit code if there are no matches, or if the glob doesn't expand. But that seems unlikely since the artifacts were uploaded successfully. Let me check the logs. Actually, I can't easily get the logs from the API. Let me just fix the checksums step to be more robust, and also fix the deploy-pages workflow. Actually, looking at the error more carefully - the "Generate checksums" step failed in 0 seconds (started at 13:53:02, completed at 13:53:02). This suggests the command failed immediately. The most likely cause is that `sha256sum *.tar.gz` failed because the glob didn't match any files. With download-artifact@v4 and `merge: true`, the artifacts are downloaded into the specified path. But the structure might be different. Let me check if the issue is that the artifacts are in subdirectories. Actually, I think the issue might be simpler. The download-artifact@v4 with `merge: true` downloads all artifacts into the same directory, but each artifact is a directory containing the uploaded files. With `merge: true`, it should flatten them. But maybe it's not working as expected. Let me just fix the checksums step to handle this better. I'll use `find` to locate the .tar.gz files and generate checksums for them. Also, let me check the deploy-pages workflow. ***********************************************************************************************************************************************************************************************************************************************************ow: **********************************************************************************************************************************************************************************ws: Now fix the checksums step in tag-release.yaml: ****************************************************************************es: The indentation is off. Let me rewrite the whole file properly: I see the indentation issue - the steps after download-artifact have wrong indentation. Let me rewrite the whole file: ********************************************************************************************************************************************************************************************d`: Now let me commit and push these fixes: Now let me wait for the CI to run and check the results: All three workflows from the second push are now passing: - **CI**: ✅ success - **Tag & Release**: ✅ success (the tag already existed from the first run, so it correctly skipped build/publish) - **Deploy Pages**: Not triggered (the fix commit didn't touch docs/**) The first run's Tag & Release failed at checksums (fixed), and Deploy Pages failed due to configure-pages@v5 403 (fixed). The second run's Tag & Release succeeded because the tag already existed and it correctly skipped the build/publish jobs. Let me verify the release was created from the first run: *********************************************************************************************************************************************************************************************************************************************************ow: Now let me bump the VERSION to trigger a new release: **************************************************************************************************ed: ***************************************************************************************************************************************************************************************************************************************te.

Weak up and do your best.

Messages

The messages exchanged in this conversation.

Created -
A new turn starts now. Fetch the current task details and execute the steps in the enclosed instructions.
Created -activity call _getTaskDetails
Created -activity call checkTaskRunStatus
Commented -
Alright, let me wake up and assess the current state of the relentlessworks organization. I'll start by checking what repos exist, if there are any pending issues or PRs that need attention, and look for opportunities to be productive.
Created -activity call call_github_apiCall GitHub API↗
Created -activity call call_github_apiCall GitHub API↗
Created -activity call call_github_apiCall GitHub API↗
Commented -
Let me get the rest of the repos and also check for any open issues or PRs across the org.
Created -activity call call_github_apiCall GitHub API↗
Created -activity call call_github_apiCall GitHub API↗
Created -activity call call_github_apiCall GitHub API↗
Commented -
Let me check the progress website to understand the current state, and also look at what skills I have available.
Created -activity call install_space_skills_authoring_toolsInstall Space Skills Authoring Tools↗
Created -activity call list_space_skills
Created -activity call read_space_skills
Created -activity call install_shell_toolsInstall Shell Tools↗
Created -activity call read_write_file_in_shell_environment
Created -
Let me assess the current state. I have 59 repos in the organization. The last work was on fuzzkit (Oct 28, 2026). The task says "Wake up and do your best."

Let me think about what would be the most productive thing to do. I should:

Check if there are any open issues or PRs that need attention

Check if any CI workflows are failing

Consider building a new service

Let me check the workflow runs for some of the repos to see if anything is failing. Let me also check if there are any open issues across repos.

Actually, the search API didn't work with the call_github_api tool. Let me try a different approach - check workflow runs for a few repos.

Let me think about what new service to build. Looking at the existing services:

fuzzkit - fuzzy string matching

basekit - base encoding/decoding

otpkit - TOTP/HOTP

certkit - X.509 certificates

dnskit - DNS lookup

barcodekit - barcode generation

qrcodekit - QR code generation

textkit - text analysis

jsonkit - JSON manipulation

listkit - list/array manipulation

passkit - password hashing

numberkit - number formatting

mathkit - math expression evaluation

uuidkit - UUID/ULID generation

hashkit - hash computation

cronexprkit - cron expression parser

convertkit - data format conversion

csvkit - CSV manipulation

casekit - case conversion

colorkit - color manipulation

diffkit - diff/patch

slugkit - URL slug generation

markkit - Markdown processing

randomkit - random data generation

fakerkit - fake data generation

ipkit - IP address utility

semverkit - semantic versioning

unitkit - unit conversion

geokit - geolocation

phonekit - phone number parsing

urlkit - URL parsing

encodekit - encoding/decoding

timestampkit - timestamp conversion

regexkit - regex testing

jwtkit - JWT

inspectkit - HTTP inspection

envkit - environment variable manager

apikeykit - API key management

pollkit - polls/surveys

feedkit - RSS/Atom feed reader

metricskit - metrics collection

logkit - log aggregation

statuskit - uptime monitoring

vaultkit - secrets vault

shortkit - URL shortener

linksmith - link shortener

taskpilot - task management

notable - notes/knowledge base

hookrelay - webhook relay

contactkit - CRM

formkit - form builder

cronkit - scheduled jobs

flagkit - feature flags

stashkit - key-value store

pastekit - pastebin

notifykit - notification hub

queuekit - message queue

website - landing page

.github - org profile

That's a lot of services! Let me think about what useful service is missing...

Some ideas:

tokenizkit - text tokenization service (split text into tokens, sentences, words, n-grams)

spellkit - spell checking and correction service

mimekit - MIME type detection and management

langkit - language detection service

sentikit - sentiment analysis service

translitkit - transliteration service

abbrevkit - abbreviation expansion/creation

pluralkit - pluralization/singularization

genderkit - gender detection for names

metadakit - EXIF/metadata extraction from images

compresskit - data compression service (gzip, zlib, flate, bzip2)

signkit - digital signing service

sshkit - SSH key management

pgpkit - PGP/GPG operations

asn1kit - ASN.1 parsing

protokit - Protocol Buffers utility

xmlkit - XML manipulation

yamlkit - YAML manipulation

tomlkit - TOML manipulation

pickkit - JSONPath query service

validkit - data validation service (email, URL, credit card, ISBN, etc.)

identikit - identifier generation (nanoid, cuid, KSUID, etc.)

imagekit - image manipulation (resize, crop, convert, watermark)

pdfkit - PDF generation/manipulation

zipkit - archive/compression service

cronstrkit - cron to human readable description

durationkit - duration parsing and formatting

moneykit - currency conversion and formatting

taxkit - tax calculation

ibanvalkit - IBAN validation

bicvalkit - BIC/SWIFT validation

vinvalkit - VIN validation

ssnvalkit - SSN validation

creditcardvalkit - credit card validation

isbnvalkit - ISBN validation

isbncodekit - ISBN to book info

bardecodekit - barcode decoding/reading

qrdecodekit - QR code decoding/reading

Let me think about what would be most useful and interesting...

A validkit service would be very useful for agents - a comprehensive data validation service. Agents often need to validate emails, URLs, credit cards, ISBNs, IBANs, etc. This would be a stateless service with no database needed.

Actually, let me think about what's missing from the toolkit that would be genuinely useful for AI agents...

A compresskit service - data compression/decompression over HTTP. Agents could compress/decompress data using gzip, zlib, flate, etc. This is stateless, no database needed.

Or a tokenizkit - text tokenization service. Split text into words, sentences, n-grams, etc. This complements textkit nicely.

Or validkit - comprehensive validation service. Validate emails, URLs, credit cards, ISBNs, IBANs, BIC/SWIFT, VINs, SSNs, phone numbers (already have phonekit), UUIDs (already have uuidkit), IP addresses (already have ipkit), domains, postal codes, etc.

Actually, let me think about what would be most impactful. A compresskit service would be useful - agents often need to compress/decompress data. It's stateless, pure computation, no database needed.

Or maybe a langkit - language detection service. Detect the language of text. This is useful for agents working with multilingual content.

Let me go with something that's clearly useful and not too complex. Let me build validkit - an agentic-first data validation service. It validates:

Email addresses (RFC 5322 compliant)

URLs

Credit card numbers (Luhn algorithm, type detection)

ISBN-10 and ISBN-13

IBAN

BIC/SWIFT codes

VIN (Vehicle Identification Number)

SSN (US Social Security Number)

EIN (Employer Identification Number)

Domain names

IPv4/IPv6 (already have ipkit, but could include for convenience)

MAC addresses

Hex colors

UUIDs (already have uuidkit)

Postal codes (US ZIP, UK postcode, etc.)

MIME types

JSON (already have jsonkit for manipulation, but validation is different)

XML

Base64

JWT structure

Actually, some of these overlap with existing services. Let me focus on validation-specific items that don't overlap:

Email validation

Credit card validation (Luhn, type detection)

ISBN validation

IBAN validation

BIC/SWIFT validation

VIN validation

SSN validation

EIN validation

Domain name validation

MAC address validation

Postal code validation (multiple countries)

MIME type validation

Hex color validation

Latitude/longitude validation

Username/handle validation

Slug validation (already have slugkit)

Password strength (already have passkit)

Hmm, let me think of something more unique...

How about compresskit - a data compression/decompression service? It would support:

gzip compress/decompress

zlib compress/decompress

flate compress/decompress

bzip2 compress/decompress (if available in pure Go)

Base64 encode/decode of compressed data

Compare compression ratios

This is purely stateless, no database needed, and genuinely useful for agents that need to compress large payloads.

Or tokenizkit - text tokenization:

Word tokenization

Sentence tokenization

N-gram generation

Token frequency analysis

Stop word removal

Stemming (Porter stemmer)

Lemmatization (basic)

Token statistics

This complements textkit but is focused on NLP-style tokenization.

Actually, let me go with something that's clearly missing and useful: compresskit - data compression service. It's simple, stateless, and genuinely useful.

Wait, actually let me think about what would be most impactful. Let me look at what categories of services are missing:

Utility/Computation services we have:

String matching (fuzzkit)

Encoding (basekit, encodekit)

Text processing (textkit, markkit, casekit, slugkit, diffkit)

Data formats (jsonkit, csvkit, convertkit)

Math (mathkit, numberkit, unitkit)

Crypto (passkit, hashkit, otpkit, jwtkit, certkit)

Generation (uuidkit, randomkit, fakerkit, qrcodekit, barcodekit)

Network (dnskit, ipkit, urlkit, phonekit)

Time (timestampkit, cronexprkit)

Lists (listkit)

Geo (geokit)

Colors (colorkit)

Regex (regexkit)

Semver (semverkit)

Stateful services we have:

Link shortener (linksmith, shortkit)

Task management (taskpilot)

Notes (notable)

Webhook relay (hookrelay)

CRM (contactkit)

Forms (formkit)

Cron jobs (cronkit)

Feature flags (flagkit)

KV store (stashkit)

Pastebin (pastekit)

Notifications (notifykit)

Message queue (queuekit)

Secrets vault (vaultkit)

Status monitoring (statuskit)

Log aggregation (logkit)

Metrics (metricskit)

Feed reader (feedkit)

Polls (pollkit)

API keys (apikeykit)

Env vars (envkit)

HTTP inspection (inspectkit)

What's missing? Let me think...

compresskit - compression/decompression

validkit - data validation

tokenizkit - text tokenization/NLP

langkit - language detection

sentikit - sentiment analysis

translitkit - transliteration

pluralkit - pluralization

abbrevkit - abbreviation handling

mimekit - MIME type management

imagekit - image manipulation

pdfkit - PDF generation

archivekit - archive (zip/tar) creation/extraction

sshkit - SSH key operations

signkit - digital signing

asn1kit - ASN.1 parsing

xmlkit - XML manipulation

yamlkit - YAML manipulation

tomlkit - TOML manipulation

moneykit - currency formatting

durationkit - duration parsing

I think compresskit would be a great addition. It's simple, useful, stateless, and doesn't overlap with anything existing. Let me build it.

Actually, wait. Let me reconsider. A validkit service would be more broadly useful. Agents frequently need to validate data - emails, credit cards, ISBNs, IBANs, etc. This is a common need that doesn't have a dedicated service yet.

Let me go with validkit - comprehensive data validation service. It will validate:

Email addresses (RFC-compliant)

Credit card numbers (Luhn + type detection: Visa, Mastercard, Amex, Discover, etc.)

ISBN-10 and ISBN-13 (checksum verification)

IBAN (international bank account number)

BIC/SWIFT codes

VIN (Vehicle Identification Number, 17 chars, checksum)

SSN (US Social Security Number, format + area/group/serial validation)

EIN (Employer Identification Number)

Domain names (RFC-compliant)

MAC addresses (various formats)

Postal codes (US ZIP, ZIP+4, UK, Canada, Germany, France, etc.)

Hex colors (#RGB, #RRGGBB, #RRGGBBAA)

Latitude/longitude coordinates

MIME types

Usernames/handles (configurable rules)

IPv4/IPv6 (convenience, even though ipkit exists)

UUIDs (convenience, even though uuidkit exists)

JWT structure

JSON structure

XML structure

Base64 strings

Hex strings

Binary strings

ASCII strings

UTF-8 strings

Alphanumeric strings

Numeric strings

Slug strings

URL strings (convenience, even though urlkit exists)

This is a lot of validation types. Let me focus on the most useful ones that don't overlap with existing services:

Email

Credit card (Luhn + type)

ISBN-10/13

IBAN

BIC/SWIFT

VIN

SSN

EIN

Domain name

MAC address

Postal code (multi-country)

Hex color

Latitude/longitude

MIME type

Username/handle

JWT structure

JSON structure

XML structure

Base64

Hex string

ASCII string

Alphanumeric

Numeric

Binary

UUID (convenience)

IPv4/IPv6 (convenience)

URL (convenience)

Actually, this is getting quite large. Let me think about whether to build this or something simpler.

Let me go with compresskit instead - it's cleaner, simpler, and clearly useful:

POST /compress - compress data (gzip, zlib, flate)

POST /decompress - decompress data

POST /compare - compare compression algorithms

GET /algorithms - list supported algorithms

GET /help - self-documenting

POST /mcp - MCP endpoint

Actually, you know what, let me think about what would be most interesting and useful. Let me go with validkit since validation is a very common need for agents. I'll keep it focused on the most useful validators.

Let me build validkit - agentic-first data validation service. Here's my plan:

Endpoints:

POST /validate/email - validate email address

POST /validate/creditcard - validate credit card (Luhn + type detection)

POST /validate/isbn - validate ISBN-10 or ISBN-13

POST /validate/iban - validate IBAN

POST /validate/bic - validate BIC/SWIFT code

POST /validate/vin - validate VIN

POST /validate/ssn - validate US SSN

POST /validate/ein - validate US EIN

POST /validate/domain - validate domain name

POST /validate/mac - validate MAC address

POST /validate/postal - validate postal code (country parameter)

POST /validate/color - validate hex color

POST /validate/coordinates - validate lat/long

POST /validate/mime - validate MIME type

POST /validate/username - validate username/handle

POST /validate/jwt - validate JWT structure

POST /validate/json - validate JSON

POST /validate/xml - validate XML

POST /validate/base64 - validate base64 string

POST /validate/hex - validate hex string

POST /validate/ascii - validate ASCII string

POST /validate/uuid - validate UUID

POST /validate/ipv4 - validate IPv4

POST /validate/ipv6 - validate IPv6

POST /validate/url - validate URL

POST /validate/luhn - validate Luhn checksum

POST /validate - auto-detect and validate

GET /types - list all validation types

GET /help - self-documenting

POST /mcp - MCP endpoint

This is a good set. Let me build it.

Actually, I realize I should also check if any existing repos have failing CI before building a new one. Let me check a few repos' workflow runs.

Actually, the task says "Wake up and do your best." This is an open-ended task. Let me be productive and build a new service. I'll go with validkit.

Let me start building it. I'll follow the blueprint from the skill.
Commented -
Good, I have a clear picture of the organization. 59 repos, all in healthy state based on the last execution. The task is "Wake up and do your best" — so I'll be proactive and build a new agentic-first service that fills a gap in the toolkit.

Looking at the existing services, there's no dedicated data validation service. Agents frequently need to validate emails, credit cards, ISBNs, IBANs, VINs, and many other data formats. Let me build validkit — an agentic-first data validation service.

Let me start by creating the repository and then building the full service.
Created -activity call call_github_apiCall GitHub API↗
Created -activity call call_github_apiCall GitHub API↗
Created -activity call create_github_repository_tokenCreate GitHub Repository Token↗
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Commented -
Good, the repo is cloned with the MIT license. Now let me build the full service. I'll create all the files.
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Commented -
Now let me create all the source files. I'll start with the model package containing all the validation logic.
Created -activity call read_write_file_in_shell_environment
Commented -
Now let me create the config package:
Created -activity call read_write_file_in_shell_environment
Created -activity call execute_shell_command
Created -activity call read_write_file_in_shell_environment
Commented -
Now let me create the API handlers:
Created -activity call read_write_file_in_shell_environment
Commented -
Now let me create the MCP handler:
Created -activity call read_write_file_in_shell_environment
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Commented -
Now let me create the main.go entry point:
Created -activity call execute_shell_command
Commented -
Now let me create the Makefile, VERSION, .gitignore, README, and CI workflows:
Created -activity call execute_shell_command
Commented -
Now let me create the CI workflows:
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Commented -
Now let me create the README:
Created -activity call execute_shell_command
Commented -
Now let me create the landing page and a Dockerfile:
Created -activity call execute_shell_command
Commented -
Now let me create the landing page:
Created -activity call execute_shell_command
Commented -
Now let me create the test file:
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Commented -
Let me write the test file using the file write tool instead:
Created -activity call read_write_file_in_shell_environment
Commented -
Let me write the test file in parts to avoid issues with special characters:
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Commented -
The test file content is too large for a single command. Let me split it into smaller parts:
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Commented -
Let me try a different approach - write the test file using a heredoc with a unique delimiter:
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Commented -
The issue is likely with special characters in the test content. Let me write a simpler test file:
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Created -activity call _checkTaskRunStatus
Commented -
Let me try writing the test file in smaller chunks:
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Commented -
Now let me try to build and test:
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Commented -
There's a syntax error in the mcp.go file. Let me check and fix it:
Created -activity call execute_shell_command
Commented -
I see the issue - the struct tag for Properties has a space before the backtick. Let me fix it:
Created -activity call replace_in_file_in_shell_environment
Created -activity call execute_shell_command
Commented -
The struct tags don't match between the handler and the model. Let me fix the model's ValidateBatch function to accept a more flexible type:
Created -activity call replace_in_file_in_shell_environment
Commented -
Now update the handler to use the BatchItem type:
Created -activity call replace_in_file_in_shell_environment
Created -activity call execute_shell_command
Commented -
go vet passes. Now let me run the tests:
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Created -
*********************************************************************************************************************************es.
Commented -
The MAC regex uses backreferences which Go's regexp doesn't support. Let me fix it:
Created -activity call replace_in_file_in_shell_environment
Commented -
Let me check the exact content around the MAC validation:
Created -activity call execute_shell_command
Created -activity call read_write_file_in_shell_environment
Commented -
*****************************************************************************************************************************it:
Created -activity call replace_in_file_in_shell_environment
Created -activity call execute_shell_command
Commented -
**********************************************************************************************se:
Created -activity call replace_in_file_in_shell_environment
Created -activity call execute_shell_command
Commented -
All tests pass. Now let me build the binary:
Created -activity call execute_shell_command
Commented -
Build succeeds. Let me do a quick smoke test:
Created -activity call execute_shell_command
Commented -
*********************************************************************************************************************************************************************************ON:
Created -activity call execute_shell_command
Created -activity call read_write_file_in_shell_environment
Commented -
I need to add creditcard to the auto-detect candidates and prioritize it before JSON. Let me also add the other missing types:
Created -activity call replace_in_file_in_shell_environment
Created -activity call execute_shell_command
Commented -
Now let me rebuild and test the auto-detect fix:
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Commented -
Auto-detect now correctly identifies credit cards before JSON. Now let me commit and push everything. First let me check the git status:
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Commented -
Now let me push to the remote:
Created -activity call execute_shell_command
Commented -
Push succeeded. Now let me update the progress website. First let me read the current state:
Created -activity call read_write_file_in_shell_environment
Commented -
The progress.json is very large. Let me update it with the new validkit entry. I'll use a script to add the new project and log entry:
Created -activity call execute_shell_command
Commented -
*************************************************************************************************ed:
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Commented -
Let me verify the update looks correct:
Created -activity call execute_shell_command
Commented -
Let me also verify the stats are correct:
Created -activity call execute_shell_command
Commented -
Everything is updated. Let me do a final verification that the repo on GitHub looks correct:
Created -activity call call_github_apiCall GitHub API↗
Commented -
The repo is live on GitHub. Let me verify the CI workflow is running:
Created -activity call call_github_apiCall GitHub API↗
Commented -
**********************************************************************************************************************************************************************************ow:
Created -activity call execute_shell_command
Commented -
The tag-release workflow looks correct. The failure is likely because the tag already exists (the initial commit created it). Let me check the tag failure details:
Created -activity call call_github_apiCall GitHub API↗
Created -
The tag and build jobs all succeeded, but the publish job failed at the "Generate checksums" step. The issue is likely that the sha256sum *.tar.gz command failed because there are no .tar.gz files in the artifacts directory. The download-artifact action with merge: true might be downloading files into subdirectories rather than merging them into a single directory.

Let me check the deploy-pages workflow too. But first, let me fix the checksums step. The issue is that download-artifact@v4 with merge: true downloads artifacts into the specified path, but each artifact is a directory containing the file. With merge: true, it should merge them into the same directory. But maybe the issue is that the glob *.tar.gz doesn't match because the files are in subdirectories.

Actually, looking more carefully, the download-artifact@v4 with merge: true should put all files in the same directory. But the issue might be that there are no .tar.gz files because the artifacts were uploaded as individual files, not tar.gz files.

Wait, looking at the build job, it uploads validkit-${{ matrix.goos }}-${{ matrix.goarch }}.tar.gz as the artifact. So the downloaded files should be .tar.gz files.

Let me look at the logs more carefully. The "Generate checksums" step failed. The command is:

This could fail if there are no .tar.gz files in the artifacts directory. With download-artifact@v4 and merge: true, the files should be in the root of the artifacts directory. But maybe the issue is different.

Actually, looking at the download-artifact@v4 docs, when using merge: true, it downloads all artifacts and merges them into the same directory. But each artifact was uploaded with a name like validkit-linux-amd64, and the path is validkit-linux-amd64.tar.gz. So the downloaded files should be validkit-linux-amd64.tar.gz, etc.

The issue might be that sha256sum *.tar.gz fails with a non-zero exit code if there are no matches, or if the glob doesn't expand. But that seems unlikely since the artifacts were uploaded successfully.

Let me check the logs. Actually, I can't easily get the logs from the API. Let me just fix the checksums step to be more robust, and also fix the deploy-pages workflow.

Actually, looking at the error more carefully - the "Generate checksums" step failed in 0 seconds (started at 13:53:02, completed at 13:53:02). This suggests the command failed immediately. The most likely cause is that sha256sum *.tar.gz failed because the glob didn't match any files.

With download-artifact@v4 and merge: true, the artifacts are downloaded into the specified path. But the structure might be different. Let me check if the issue is that the artifacts are in subdirectories.

Actually, I think the issue might be simpler. The download-artifact@v4 with merge: true downloads all artifacts into the same directory, but each artifact is a directory containing the uploaded files. With merge: true, it should flatten them. But maybe it's not working as expected.

Let me just fix the checksums step to handle this better. I'll use find to locate the .tar.gz files and generate checksums for them.

Also, let me check the deploy-pages workflow.
Commented -
***********************************************************************************************************************************************************************************************************************************************************ow:
Created -activity call execute_shell_command
Commented -
**********************************************************************************************************************************************************************************ws:
Created -activity call replace_in_file_in_shell_environment
Commented -
Now fix the checksums step in tag-release.yaml:
Created -activity call replace_in_file_in_shell_environment
Created -activity call _checkTaskRunStatus
Created -activity call execute_shell_command
Created -activity call read_write_file_in_shell_environment
Created -activity call read_write_file_in_shell_environment
Commented -
****************************************************************************es:
Created -activity call read_write_file_in_shell_environment
Commented -
The indentation is off. Let me rewrite the whole file properly:
Created -activity call read_write_file_in_shell_environment
Commented -
I see the indentation issue - the steps after download-artifact have wrong indentation. Let me rewrite the whole file:
Created -activity call read_write_file_in_shell_environment
Commented -
********************************************************************************************************************************************************************************************d`:
Created -activity call replace_in_file_in_shell_environment
Commented -
Now let me commit and push these fixes:
Created -activity call execute_shell_command
Created -activity call execute_shell_command
Commented -
Now let me wait for the CI to run and check the results:
Created -activity call _delay
Created -activity call _checkTaskRunStatus
Created -activity call call_github_apiCall GitHub API↗
Commented -
All three workflows from the second push are now passing:

CI: ✅ success

Tag & Release: ✅ success (the tag already existed from the first run, so it correctly skipped build/publish)

Deploy Pages: Not triggered (the fix commit didn't touch docs/**)

The first run's Tag & Release failed at checksums (fixed), and Deploy Pages failed due to configure-pages@v5 403 (fixed). The second run's Tag & Release succeeded because the tag already existed and it correctly skipped the build/publish jobs.

Let me verify the release was created from the first run:
Created -activity call call_github_apiCall GitHub API↗
Commented -
*********************************************************************************************************************************************************************************************************************************************************ow:
Created -activity call call_github_apiCall GitHub API↗
Created -activity call _checkTaskRunStatus
Commented -
Now let me bump the VERSION to trigger a new release:
Created -activity call execute_shell_command
Created -activity call _delay
Created -activity call _checkTaskRunStatus
Created -activity call call_github_apiCall GitHub API↗
Commented -
**************************************************************************************************ed:
Created -activity call call_github_apiCall GitHub API↗
Commented -
***************************************************************************************************************************************************************************************************************************************te.
Created -activity call _success
Created -activity call _checkTaskRunStatus

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passkit - Agentic-first password hashing and verification service