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 justanesta/claude-code-resources --skill python-api-developmentgit clone --depth 1 https://github.com/justanesta/claude-code-resourcesWrote 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/justanesta/claude-code-resources/python-api-development)<a href="https://agentmods.dev/skills/justanesta/claude-code-resources/python-api-development"><img src="https://agentmods.dev/badge/skills/justanesta/claude-code-resources/python-api-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/justanesta/claude-code-resources/python-api-development"><img src="https://agentmods.dev/badge/skills/justanesta/claude-code-resources/python-api-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 | $0.00062 | $0.00932 |
| Opus 5.5 | $0.00025 | $0.00373 |
| Sonnet 5.5 | $0.00012 | $0.00186 |
| Haiku 4.5 | $0.00006 | $0.00093 |
Grade A, and why
python-api-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 2mo 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python API Development
Modern patterns for building production-ready APIs with FastAPI and Flask.
Decision Matrix: FastAPI vs Flask
| Factor | FastAPI | Flask | Winner |
|---|---|---|---|
| Performance | High (async) | Moderate | FastAPI |
| Auto docs | Built-in (OpenAPI) | Manual | FastAPI |
| Validation | Pydantic (automatic) | Manual/extensions | FastAPI |
| Learning curve | Steeper | Gentler | Flask for beginners |
| Async support | Native | With extensions | FastAPI |
General guidance:
- Use FastAPI when: New projects, async needed, want auto-docs, type safety important
- Use Flask when: Simple apps, team knows Flask, sync-only fine, want simplicity
FastAPI Patterns
Basic API Structure
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
price: float
@app.get("/")
def read_root():
return {"message": "Hello World"}
@app.post("/items/")
def create_item(item: Item):
return item
Pydantic Models for Validation
from pydantic import BaseModel, Field
class User(BaseModel):
username: str = Field(..., min_length=3, max_length=50)
email: str
age: int = Field(..., ge=0, le=150)
See pydantic-validation.md for:
- Custom validators
- Model inheritance
- Nested models
Dependency Injection
from fastapi import Depends
def get_db():
db = Database()
try:
yield db
finally:
db.close()
@app.get("/items/")
def read_items(db = Depends(get_db)):
return db.get_items()
See dependency-injection-patterns.md for:
- Class-based dependencies
- Dependency override (testing)
- Sub-dependencies
Async Endpoints
@app.get("/data/")
async def get_data():
async with httpx.AsyncClient() as client:
response = await client.get("https://api.example.com/data")
return response.json()
What ships with it
5 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.
- 2mo ago First seen · 163 lines · 62 tokens per session scan A d30f9682282b
python-api-development is a skill published in the GitHub repository justanesta/claude-code-resources (2 stars, last pushed 6mo ago), licensed MIT. It adds 62 tokens to every session and 932 once invoked, about $0.0002 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 2026-08-31.
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