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 G1Joshi/Agent-Skills --skill fastapigit clone --depth 1 https://github.com/G1Joshi/Agent-SkillsWrote 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/g1joshi/agent-skills/fastapi)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/fastapi"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/fastapi/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/g1joshi/agent-skills/fastapi"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/fastapi.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 | $0.00022 | $0.00424 |
| Opus 5 | $0.00011 | $0.00212 |
| Sonnet 5 | $0.00004 | $0.00085 |
| Haiku 4.5 | $0.00002 | $0.00042 |
Grade A, and why
fastapi 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
FastAPI
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.8+ based on standard Python type hints. It is one of the fastest Python frameworks available.
When to Use
- APIs: The default choice for modern Python APIs.
- Machine Learning: Native integration with Pydantic makes JSON <-> Model interaction seamless.
- Performance: Built on Starlette and Pydantic v2, it rivals Node.js and Go in benchmarks.
Quick Start
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
price: float
@app.post("/items/")
async def create_item(item: Item):
return {"name": item.name, "price": item.price}
Core Concepts
Pydantic Models
Define data shape using Python classes. Validation and JSON serialization happen automatically.
Dependency Injection
FastAPI has a powerful DI system.
async def read_users(db: Session = Depends(get_db)):.
OpenAPI (Swagger)
Automatically generates interactive API documentation at /docs.
Best Practices (2025)
Do:
- Use Pydantic v2: Ensure you are on v2 for the massive Rust-based performance boost.
- Use
lifespan: Use the newlifespancontext manager for startup/shutdown events instead of deprecatedon_event. - Type Everything: The more you type, the better the auto-generated docs and validation.
Don't:
- Don't block the loop: Run CPU bound code (image processing, heavy math) in
defendpoints (threadpool), notasync def(event loop), or use background tasks.
References
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 · 63 lines · 22 tokens per session scan A c5b2604a8a71
fastapi is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 7mo ago), licensed MIT. It adds 22 tokens to every session and 424 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 2026-09-03.
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