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 arbazkhan971/godmode --skill fastapigit clone --depth 1 https://github.com/arbazkhan971/godmodeWrote 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/arbazkhan971/godmode/fastapi)<a href="https://agentmods.dev/skills/arbazkhan971/godmode/fastapi"><img src="https://agentmods.dev/badge/skills/arbazkhan971/godmode/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/arbazkhan971/godmode/fastapi"><img src="https://agentmods.dev/badge/skills/arbazkhan971/godmode/fastapi.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00055 | $0.01825 |
| Opus 5.5 | $0.00022 | $0.00730 |
| Sonnet 5.5 | $0.00011 | $0.00365 |
| Haiku 4.5 | $0.00006 | $0.00183 |
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 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 — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FastAPI — FastAPI Mastery
Activate When
- User invokes
/godmode:fastapi - User says "build a FastAPI app", "async API"
- User asks about Pydantic, DI, async endpoints
- When working with Python async backend services
- User says "fastapi route", "FastAPI endpoint", "route for orders"
Workflow
Step 1: Project Assessment
# Detect FastAPI project
grep -l "fastapi" pyproject.toml requirements.txt \
setup.py 2>/dev/null
# Check Python version
python3 --version
# Detect package manager
ls uv.lock poetry.lock Pipfile.lock 2>/dev/null
FASTAPI ASSESSMENT:
FastAPI version: <0.115.x>
Python: <3.12+ recommended>
ORM: SQLAlchemy 2.0 async | Tortoise | SQLModel
Auth: JWT | OAuth2 | API keys
Package manager: uv (preferred) | Poetry | pip
IF Python < 3.12: recommend upgrade for performance
IF using sync psycopg2: must migrate to asyncpg
IF no Alembic: add migration support immediately
PROJECT STRUCTURE:
app/
├── main.py # FastAPI app factory
├── config.py # pydantic-settings
├── dependencies.py # Shared DI (DB, auth)
├── api/v1/
│ ├── router.py # Aggregates all v1 routes
│ ├── orders.py # Order endpoints
│ └── customers.py # Customer endpoints
├── models/ # SQLAlchemy models
├── schemas/ # Pydantic schemas
├── services/ # Business logic
└── tests/
Step 2: Pydantic Model Design
PYDANTIC PATTERNS:
| Pattern | Usage |
|--------------------------|---------------------|
| Separate Create/Update/Resp | Per-operation |
| field_validator | Single-field custom |
| model_validator | Cross-field logic |
| Field(gt=0, max_length) | Declarative limits |
| from_attributes=True | ORM → Pydantic |
| Generic PaginatedResp[T] | Reusable pagination|
THRESHOLDS:
max_length for strings: always set (default 255)
gt=0 for IDs and counts: always set
le=1000 for pagination page_size: prevent abuse
IF no Field() constraints: validation is incomplete
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 · 255 lines · 55 tokens per session scan A 7a186a99500d
fastapi is a skill published in the GitHub repository arbazkhan971/godmode (27 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 1,825 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 2026-08-30.
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