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 tmolavi/mcp-agent-skills-hub --skill python-fastapi-developmentgit clone --depth 1 https://github.com/tmolavi/mcp-agent-skills-hubWrote 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/tmolavi/mcp-agent-skills-hub/python-fastapi-development)<a href="https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/python-fastapi-development"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/python-fastapi-development/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/tmolavi/mcp-agent-skills-hub/python-fastapi-development"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/python-fastapi-development.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 | $0.00028 | $0.01268 |
| Opus 5.5 | $0.00011 | $0.00507 |
| Sonnet 5.5 | $0.00006 | $0.00254 |
| Haiku 4.5 | $0.00003 | $0.00127 |
Grade A, and why
python-fastapi-development 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 1mo 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 — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python/FastAPI Development Workflow
Overview
Specialized workflow for building production-ready Python backends with FastAPI, featuring async patterns, SQLAlchemy ORM, Pydantic validation, and comprehensive API patterns.
When to Use This Workflow
Use this workflow when:
- Building new REST APIs with FastAPI
- Creating async Python backends
- Implementing database integration with SQLAlchemy
- Setting up API authentication
- Developing microservices
Workflow Phases
Phase 1: Project Setup
Skills to Invoke
app-builder- Application scaffoldingpython-development-python-scaffold- Python scaffoldingfastapi-templates- FastAPI templatesuv-package-manager- Package management
Actions
- Set up Python environment (uv/poetry)
- Create project structure
- Configure FastAPI app
- Set up logging
- Configure environment variables
Copy-Paste Prompts
Use @fastapi-templates to scaffold a new FastAPI project
Use @python-development-python-scaffold to set up Python project structure
Phase 2: Database Setup
Skills to Invoke
prisma-expert- Prisma ORM (alternative)database-design- Schema designpostgresql- PostgreSQL setuppydantic-models-py- Pydantic models
Actions
- Design database schema
- Set up SQLAlchemy models
- Create database connection
- Configure migrations (Alembic)
- Set up session management
Copy-Paste Prompts
Use @database-design to design PostgreSQL schema
Use @pydantic-models-py to create Pydantic models for API
Phase 3: API Routes
Skills to Invoke
fastapi-router-py- FastAPI routersapi-design-principles- API designapi-patterns- API patterns
Actions
- Design API endpoints
- Create API routers
- Implement CRUD operations
- Add request validation
- Configure response models
Copy-Paste Prompts
Use @fastapi-router-py to create API endpoints with CRUD operations
Use @api-design-principles to design RESTful API
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.
- 1mo ago First seen · 221 lines · 28 tokens per session scan A 2e5295400058
python-fastapi-development is a skill published in the GitHub repository tmolavi/mcp-agent-skills-hub (8 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 1,268 once invoked, about $0.0001 per session on Opus 5.5. 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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