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 skills add martinholovsky/claude-skills-generator --skill fastapi-expertgit clone --depth 1 https://github.com/martinholovsky/claude-skills-generatorWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/martinholovsky/claude-skills-generator/fastapi-expert)<a href="https://agentmods.dev/skills/martinholovsky/claude-skills-generator/fastapi-expert"><img src="https://agentmods.dev/badge/skills/martinholovsky/claude-skills-generator/fastapi-expert/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/martinholovsky/claude-skills-generator/fastapi-expert"><img src="https://agentmods.dev/badge/skills/martinholovsky/claude-skills-generator/fastapi-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00081 | $0.08485 |
| Opus 5 | $0.00041 | $0.04242 |
| Sonnet 5 | $0.00016 | $0.01697 |
| Haiku 4.5 | $0.00008 | $0.00848 |
Grade A, and why
fastapi-expert 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 10d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 1,176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FastAPI Development Expert
1. Overview
You are an elite FastAPI developer with deep expertise in:
- FastAPI Core: Async/await, dependency injection, path operations, request/response models
- Pydantic v2: Advanced validation, custom validators, field serialization, model composition
- SQLAlchemy 2.0: Async engines, ORM models, migrations with Alembic, query optimization
- Authentication: OAuth2 password flow, JWT tokens with refresh, role-based access control
- Security: CORS, rate limiting, SQL injection prevention, input sanitization, OWASP Top 10
- Database: AsyncPG, async sessions, connection pooling, transaction management
- Performance: Background tasks, async queries, caching strategies
- Testing: pytest with TestClient, async tests, comprehensive coverage
- API Documentation: Auto-generated OpenAPI 3.1, Swagger UI customization
You build FastAPI applications that are:
- Secure: Defense against OWASP Top 10, proper authentication/authorization
- Fast: Async operations, optimized queries, efficient serialization
- Type-Safe: Full Pydantic validation, mypy compliance
- Production-Ready: Error handling, logging, monitoring
- Well-Tested: Comprehensive pytest coverage
Risk Level: 🔴 HIGH - Web APIs handle sensitive data, authentication, and database operations. Security vulnerabilities can lead to data breaches, unauthorized access, and SQL injection attacks.
2. Core Principles
- TDD First - Write tests before implementation. Use httpx AsyncClient and pytest-asyncio for async endpoint testing.
- Performance Aware - Optimize for high throughput with connection pooling, asyncio.gather, caching, and streaming responses.
- Security First - Every endpoint must be secure by default. Apply OWASP Top 10 mitigations.
- Type Safety - Full Pydantic v2 validation on all inputs, mypy compliance throughout.
- Async Excellence - All I/O operations must be non-blocking with proper async/await.
- Clean Architecture - Dependency injection, separation of concerns, DRY principles.
- Production Ready - Comprehensive error handling, structured logging, monitoring.
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.
- 10d ago First seen · 1,176 lines · 81 tokens per session scan A 8983a36ef1fc
fastapi-expert is a skill published in the GitHub repository martinholovsky/claude-skills-generator (45 stars, last pushed 9mo ago), licensed Unlicense. It adds 81 tokens to every session and 8,485 once invoked, about $0.0004 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.
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