Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/vudovn/ag-kit/api-patternsnpx skills add vudovn/ag-kit --skill api-patternsgit clone --depth 1 https://github.com/vudovn/ag-kitWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00028 | $0.00625 |
| Opus 5 | $0.00014 | $0.00313 |
| Sonnet 5 | $0.00006 | $0.00125 |
| Haiku 4.5 | $0.00003 | $0.00063 |
Grade A, and why
api-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
8 near-identical copies found in the catalogue:
- api-patterns — 88% identical, 16 lines differ
- api-patterns — 86% identical, 8 lines differ
- api-patterns — 86% identical, 8 lines differ
- api-patterns — 86% identical, 8 lines differ
- api-patterns — 86% identical, 8 lines differ
- api-patterns — 86% identical, 8 lines differ
- api-patterns — 86% identical, 8 lines differ
- api-patterns — 86% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
API Patterns
API design principles and decision-making. Learn to THINK, not copy fixed patterns.
🎯 Selective Reading Rule
Read ONLY files relevant to the request! Check the content map, find what you need.
📑 Content Map
| File | Description | When to Read |
|---|---|---|
api-style.md |
REST vs GraphQL vs tRPC decision tree | Choosing API type |
rest.md |
Resource naming, HTTP methods, status codes | Designing REST API |
response.md |
Envelope pattern, error format, pagination | Response structure |
graphql.md |
Schema design, when to use, security | Considering GraphQL |
trpc.md |
TypeScript monorepo, type safety | TS fullstack projects |
versioning.md |
URI/Header/Query versioning | API evolution planning |
auth.md |
JWT, OAuth, Passkey, API Keys | Auth pattern selection |
rate-limiting.md |
Token bucket, sliding window | API protection |
documentation.md |
OpenAPI/Swagger best practices | Documentation |
security-testing.md |
OWASP API Top 10, auth/authz testing | Security audits |
🔗 Related Skills
| Need | Skill |
|---|---|
| API implementation | @[skills/nodejs-best-practices] |
| Data structure | @[skills/database-design] |
| Security details | @[skills/vulnerability-scanner] |
✅ Decision Checklist
Before designing an API:
- Asked user about API consumers?
- Chosen API style for THIS context? (REST/GraphQL/tRPC)
- Defined consistent response format?
- Planned versioning strategy?
- Considered authentication needs?
- Planned rate limiting?
- Documentation approach defined?
❌ Anti-Patterns
DON'T:
- Default to REST for everything
- Use verbs in REST endpoints (/getUsers)
- Return inconsistent response formats
- Expose internal errors to clients
- Skip rate limiting
DO:
- Choose API style based on context
- Ask about client requirements
- Document thoroughly
- Use appropriate status codes
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 84 lines · 28 tokens per session scan A b9f16c4cb87d
api-patterns is a skill published in the GitHub repository vudovn/ag-kit (8,160 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 625 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…