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 hyqibot/token-free-openclaw --skill fastapigit clone --depth 1 https://github.com/hyqibot/token-free-openclawWrote 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/hyqibot/token-free-openclaw/fastapi)<a href="https://agentmods.dev/skills/hyqibot/token-free-openclaw/fastapi"><img src="https://agentmods.dev/badge/skills/hyqibot/token-free-openclaw/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/hyqibot/token-free-openclaw/fastapi"><img src="https://agentmods.dev/badge/skills/hyqibot/token-free-openclaw/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 | $0.00057 | $0.02441 |
| Opus 5 | $0.00028 | $0.01221 |
| Sonnet 5 | $0.00011 | $0.00488 |
| Haiku 4.5 | $0.00006 | $0.00244 |
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 9d 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.
This is a copy
97% identical to fastapi — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 437 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FastAPI
Official FastAPI skill to write code with best practices, keeping up to date with new versions and features.
Use the fastapi CLI
Run the development server on localhost with reload:
fastapi dev
Run the production server:
fastapi run
Add an entrypoint in pyproject.toml
FastAPI CLI will read the entrypoint in pyproject.toml to know where the FastAPI app is declared.
[tool.fastapi]
entrypoint = "my_app.main:app"
Use fastapi with a path
When adding the entrypoint to pyproject.toml is not possible, or the user explicitly asks not to, or it's running an independent small app, you can pass the app file path to the fastapi command:
fastapi dev my_app/main.py
Prefer to set the entrypoint in pyproject.toml when possible.
Use Annotated
Always prefer the Annotated style for parameter and dependency declarations.
It keeps the function signatures working in other contexts, respects the types, allows reusability.
In Parameter Declarations
Use Annotated for parameter declarations, including Path, Query, Header, etc.:
from typing import Annotated
from fastapi import FastAPI, Path, Query
app = FastAPI()
@app.get("/items/{item_id}")
async def read_item(
item_id: Annotated[int, Path(ge=1, description="The item ID")],
q: Annotated[str | None, Query(max_length=50)] = None,
):
return {"message": "Hello World"}
instead of:
# DO NOT DO THIS
@app.get("/items/{item_id}")
async def read_item(
item_id: int = Path(ge=1, description="The item ID"),
q: str | None = Query(default=None, max_length=50),
):
return {"message": "Hello World"}
For Dependencies
Use Annotated for dependencies with Depends().
Unless asked not to, create a new type alias for the dependency to allow re-using it.
from typing import Annotated
from fastapi import Depends, FastAPI
app = FastAPI()
def get_current_user():
return {"username": "johndoe"}
CurrentUserDep = Annotated[dict, Depends(get_current_user)]
@app.get("/items/")
async def read_item(current_user: CurrentUserDep):
return {"message": "Hello World"}
What ships with it
3 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.
- 9d ago First seen · 437 lines · 57 tokens per session scan A 3c8b2bced322
fastapi is a skill published in the GitHub repository hyqibot/token-free-openclaw (122 stars, last pushed 17d ago), licensed Apache-2.0. It adds 57 tokens to every session and 2,441 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to fastapi, differing in 2 lines, and is treated as a copy.
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