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 hamzaPixl/pixl-ai --skill fastapi-servicegit clone --depth 1 https://github.com/hamzaPixl/pixl-aiWrote 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/hamzapixl/pixl-ai/fastapi-service)<a href="https://agentmods.dev/skills/hamzapixl/pixl-ai/fastapi-service"><img src="https://agentmods.dev/badge/skills/hamzapixl/pixl-ai/fastapi-service/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/hamzapixl/pixl-ai/fastapi-service"><img src="https://agentmods.dev/badge/skills/hamzapixl/pixl-ai/fastapi-service.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 | $0.00083 | $0.00453 |
| Opus 5 | $0.00042 | $0.00227 |
| Sonnet 5 | $0.00017 | $0.00091 |
| Haiku 4.5 | $0.00008 | $0.00045 |
Grade A, and why
fastapi-service 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 6d 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.
What it actually says
Overview
Scaffolds a complete FastAPI microservice following monorepo conventions: domain layer (entities, repositories), API endpoints (Pydantic schemas, routes), infrastructure (database, config), Dockerfile, and CI/CD.
Step 1: Discovery
- Detect monorepo structure and conventions
- Identify existing services for pattern reference
- Determine the service's domain (name, entities, relationships)
- Check for shared libraries and utilities
Step 2: Domain Layer
- Create domain entities with Pydantic models
- Define repository interfaces
- Add domain events if cross-service communication needed
Step 3: API Layer
- Create Pydantic request/response schemas
- Build CRUD route handlers with dependency injection
- Add authentication and authorization middleware
- Wire up OpenAPI documentation
Step 4: Infrastructure
- Create SQLAlchemy/database models
- Implement repository with database backend
- Add configuration loading (environment variables)
- Create database migrations
Step 5: Dockerfile
- Multi-stage build optimized for Python/uv
- Pin base image versions
- Non-root user in production
Step 6: CI/CD
- GitHub Actions workflow for the new service
- Test, lint, typecheck, build stages
- Deploy job template for Cloud Run
Step 7: Verify
- Service starts and responds to health checks
- CRUD endpoints work correctly
- Tests pass
- Typecheck passes
- Docker build succeeds
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.
- 6d ago First seen · 58 lines · 83 tokens per session scan A 5b39f9e8c5a3
fastapi-service is a skill published in the GitHub repository hamzaPixl/pixl-ai (2 stars, last pushed 4mo ago), licensed MIT. It adds 83 tokens to every session and 453 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 2026-09-03.
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