API Designer
Jeffallan/claude-skills
Designs REST and GraphQL APIs from resource modeling to an OpenAPI 3.1 contract, with versioning, pagination and RFC 7807 error handling.
Deterministic API endpoint validation with pass/fail reporting.
$ npx skills add notque/vexjoy-agent --skill endpoint-validator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install notque/vexjoy-agent endpoint-validator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/infrastructure/endpoint-validator .claude/skills/endpoint-validator && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "endpoint-validator" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/infrastructure/endpoint-validator into .claude/skills/endpoint-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "endpoint-validator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/notque/vexjoy-agent/tree/main/skills/infrastructure/endpoint-validatorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add notque/vexjoy-agent --skill endpoint-validator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install notque/vexjoy-agent endpoint-validator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/infrastructure/endpoint-validator .agents/skills/endpoint-validator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "endpoint-validator" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/infrastructure/endpoint-validator into .agents/skills/endpoint-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "endpoint-validator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add notque/vexjoy-agent --skill endpoint-validator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install notque/vexjoy-agent endpoint-validator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/infrastructure/endpoint-validator .cursor/skills/endpoint-validator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "endpoint-validator" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/infrastructure/endpoint-validator into .cursor/skills/endpoint-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "endpoint-validator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/notque/vexjoy-agent.git --path skills/infrastructure/endpoint-validator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add notque/vexjoy-agent --skill endpoint-validator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install notque/vexjoy-agent endpoint-validator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/infrastructure/endpoint-validator .gemini/skills/endpoint-validator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "endpoint-validator" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/infrastructure/endpoint-validator into .gemini/skills/endpoint-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "endpoint-validator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install notque/vexjoy-agent endpoint-validatorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add notque/vexjoy-agent --skill endpoint-validator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/infrastructure/endpoint-validator .github/skills/endpoint-validator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "endpoint-validator" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/infrastructure/endpoint-validator into .github/skills/endpoint-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "endpoint-validator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add notque/vexjoy-agent --skill endpoint-validator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install notque/vexjoy-agent endpoint-validator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/infrastructure/endpoint-validator .opencode/skills/endpoint-validator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "endpoint-validator" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/infrastructure/endpoint-validator into .opencode/skills/endpoint-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "endpoint-validator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
endpoint-validatorDeterministic API endpoint validation with pass/fail reporting.
Endpoint Validator is an agent skill from notque/vexjoy-agent. Deterministic API endpoint validation with pass/fail reporting.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/auth-endpoint-patterns.md`, `references/endpoint-config-preferred-patterns.md` and `references/security-headers.md`).
It sits in Backend & APIs, covering REST APIs. The repository describes itself as: VexJoy AI Agent with Jev Intelligent Routing - /do routes plain-English requests to the right specialist agent and gates the work with reviews, tests, and a learning loop. The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 5218674. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWriteGlobEditFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curljqFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Endpoint Validator loads about 1.1k tokens when it runs, and up to ~6.3k if it reads all its reference files. Until then it costs about 21 tokens; SKILL.md has 354 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Bash, Read, Write, Glob, EditAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from notque/vexjoy-agent at commit 5218674, republished under its MIT licence (© notque). 354 words, ~1,072 tokens.
.claude/skills/endpoint-validator/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Deterministic HTTP endpoint validation: discover config, test each endpoint against expectations, report pass/fail with CI-compatible exit codes.
Load on demand when the signal matches.
| Signal | Reference | Content |
|---|---|---|
| Security header WARNs, HSTS/CSP/X-Frame | references/security-headers.md | Header checks, required values, remediation |
| Config errors, hardcoded IPs, timeouts | references/endpoint-config-preferred-patterns.md | Configuration failure modes and fixes |
| 401/403 failures, auth patterns | references/auth-endpoint-patterns.md | Bearer, API-key, cookie auth validation |
Read repository CLAUDE.md for base URL conventions or env var names.
Search for endpoint config in order: endpoints.json in project root,
tests/endpoints.json, inline specification from user. Prefer version-controlled
config over ad-hoc lists.
Config shape:
{
"base_url": "http://localhost:8000",
"endpoints": [
{"path": "/health", "expect_status": 200},
{"path": "/api/v1/users", "expect_key": "data", "timeout": 10},
{"path": "/api/v1/search?q=test", "max_time": 2.0}
]
}Endpoint fields: path (required), expect_status (default 200),
expect_key (top-level JSON key), timeout (default 5s), max_time (SLOW
threshold), method (default GET), headers (per-endpoint).
Rules:
${ENV_VAR} in base_url, not hardcoded IPs.Gate: config parsed, base URL reachable, at least one endpoint defined.
Execute, do not reason. Run the request. Paste the exit code and output.
Test endpoints sequentially. For each:
expect_status. Mismatch -> FAIL.expect_key set, parse JSON and check key exists. Missing/invalid -> FAIL.max_time set and elapsed exceeds it -> SLOW.frame-ancestors.Failure handling: connection refused -> FAIL "Connection refused"; timeout -> FAIL "Timeout after Ns"; invalid JSON on expect_key -> FAIL "Invalid JSON response".
Gate: all endpoints tested, each has PASS/FAIL/SLOW verdict.
Format:
ENDPOINT VALIDATION REPORT
==========================
Base URL: http://localhost:8000
/api/health 200 OK 45ms
/api/products 500 FAIL "Internal Server Error"
/api/slow 200 SLOW 3.2s > 2.0s threshold
SUMMARY: Passed 13/15 (86.7%), Failed 1, Slow 1Exit 0 if all passed. Exit 1 if any failed.
| Error | Cause | Fix |
|---|---|---|
| Base URL unreachable | Wrong port or service down | ss -tlnp to confirm port |
| All endpoints timeout | Wrong host or proxy issue | curl -v a single endpoint |
JSON parse failure on expect_key | Non-JSON response (HTML/XML) | Remove expect_key or check Content-Type |
| FAIL on intentional 404 | Default expect_status is 200 | Set "expect_status": 404 |
| 401 on auth endpoint | Missing/expired credentials | Add auth header; see references/auth-endpoint-patterns.md |
# Pre-deployment gate with curl
jq -r '.endpoints[].path' endpoints.json | while read path; do
curl -sf "http://localhost:8000$path" > /dev/null || { echo "FAIL: $path"; exit 1; }
done© notque, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in skills/infrastructure/endpoint-validator of notque/vexjoy-agent.
Open the folder on GitHubat commit 5218674
Endpoint Validator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Endpoint Validator this skillnotque/vexjoy-agent | 435 | — | ~1.1k | Automated safety check: Notes | MIT | |
| API DesignerJeffallan/claude-skills | 12k | 2 repos | ~2k | Automated safety check: Pass | MIT | |
| Paperclippaperclipai/paperclip | 98k | — | ~9.6k | Automated safety check: Pass | MIT | |
| Nodejs Backend Patternsever-works/ever-works | 158 | 17 repos | ~4k | Automated safety check: Pass | AGPL-3.0 | |
| OpenAPI to MCP Servermcp-use/mcp-use | 11k | — | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Use Yaakmountain-loop/yaak | 19k | — | ~1.9k | Automated safety check: Pass | MIT |
Jeffallan/claude-skills
Designs REST and GraphQL APIs from resource modeling to an OpenAPI 3.1 contract, with versioning, pagination and RFC 7807 error handling.
paperclipai/paperclip
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ever-works/ever-works
Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices.
mcp-use/mcp-use
Turns an OpenAPI or Swagger spec into an MCP server with the mcp-use TypeScript SDK, mapping each operation to a tool, wiring auth, testing and deploying.
mountain-loop/yaak
A skill your agent uses when the user mentions Yaak, a Yaak workspace, or the yaak command, or asks to call, hit, or smoke test HTTP/REST endpoints, save or organize API requests for reuse or manual…
ruvnet/RuView
Covers the RuView `wifi-densepose` command line binary, its Axum REST API and the WebAssembly builds for browsers and ESP32, for embedding or scripting RuView.
notque/vexjoy-agent
Deterministic palette/matrix pixel art (not AI). An agent skill from notque/vexjoy-agent.
notque/vexjoy-agent
Pull request lifecycle: commit, codex review, sync, review, fix, status, cleanup, and PR mining.
notque/vexjoy-agent
Improve architecture across modules by deepening interfaces.
notque/vexjoy-agent
Code quality: cleanup, linting, formatting, quality gates. An agent skill from notque/vexjoy-agent.
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notque/vexjoy-agent
Review and fix temporal references in code comments. An agent skill from notque/vexjoy-agent.
Categories
Deterministic API endpoint validation with pass/fail reporting. Endpoint Validator is an agent skill from notque/vexjoy-agent. Deterministic API endpoint validation with pass/fail reporting.
Endpoint Validator fits situations like: tasks that involve REST APIs.
Run `npx skills add notque/vexjoy-agent --skill endpoint-validator -a claude-code`. Or copy the skill folder (skills/infrastructure/endpoint-validator in notque/vexjoy-agent) into .claude/skills/endpoint-validator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add notque/vexjoy-agent --skill endpoint-validator -a codex`. Or copy the skill folder (skills/infrastructure/endpoint-validator in notque/vexjoy-agent) into .agents/skills/endpoint-validator in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add notque/vexjoy-agent --skill endpoint-validator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/endpoint-validator, .gemini/skills/endpoint-validator, .github/skills/endpoint-validator and .opencode/skills/endpoint-validator in your project.
Going by SKILL.md and its folder, Endpoint Validator needs the command-line tools its instructions call (curl and jq). Its frontmatter pre-approves these tools: Bash, Read, Write, Glob, Edit.
SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Endpoint Validator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Endpoint Validator: API Designer (Jeffallan/claude-skills, 12k stars), Paperclip (paperclipai/paperclip, 98k stars), Nodejs Backend Patterns (ever-works/ever-works, 158 stars) and OpenAPI to MCP Server (mcp-use/mcp-use, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
notque (a GitHub user) maintains it in notque/vexjoy-agent, which has 435 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on October 3, 2026.
Source: notque/vexjoy-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.