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 ils15/pantheon-legacy --skill fastapi-async-patternsgit clone --depth 1 https://github.com/ils15/pantheon-legacyWrote 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/ils15/pantheon-legacy/fastapi-async-patterns)<a href="https://agentmods.dev/skills/ils15/pantheon-legacy/fastapi-async-patterns"><img src="https://agentmods.dev/badge/skills/ils15/pantheon-legacy/fastapi-async-patterns/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/ils15/pantheon-legacy/fastapi-async-patterns"><img src="https://agentmods.dev/badge/skills/ils15/pantheon-legacy/fastapi-async-patterns.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 | $0.00025 | $0.03246 |
| Opus 5.5 | $0.00010 | $0.01298 |
| Sonnet 5.5 | $0.00005 | $0.00649 |
| Haiku 4.5 | $0.00003 | $0.00325 |
Grade A, and why
fastapi-async-patterns 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 — 454 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FastAPI Async Patterns Skill
When to Use
Use this skill when:
- Creating new FastAPI endpoints with async support
- Building service layers with dependency injection
- Implementing repository patterns for data access
- Adding pagination, filtering, or search
- Integrating with async databases (SQLAlchemy async)
- Handling Gemini AI integration with fallbacks
- Creating proper error handling and validation
Key Patterns
1. Service Layer Architecture
# services/product_service.py
from typing import Optional, List
from sqlalchemy.ext.asyncio import AsyncSession
from app.models import Product
from app.repositories import ProductRepository
from app.schemas import ProductCreate, ProductResponse
class ProductService:
def __init__(self, db: AsyncSession):
self.repository = ProductRepository(db)
async def create_product(self, product_data: ProductCreate) -> ProductResponse:
"""Create product with validation and error handling"""
existing = await self.repository.get_by_slug(product_data.slug)
if existing:
raise ValueError(f"Product slug '{product_data.slug}' already exists")
product = await self.repository.create(product_data.dict())
return ProductResponse.from_orm(product)
async def list_products(
self,
skip: int = 0,
limit: int = 10,
category: Optional[str] = None
) -> List[ProductResponse]:
"""List products with pagination and filtering"""
filters = {}
if category:
filters['category'] = category
products = await self.repository.list(skip=skip, limit=limit, filters=filters)
return [ProductResponse.from_orm(p) for p in products]
async def search_products(self, query: str) -> List[ProductResponse]:
"""Full-text search with Gemini enrichment"""
products = await self.repository.search(query)
# Optional: Enhance with Gemini insights
return [ProductResponse.from_orm(p) for p in products]
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 · 454 lines · 25 tokens per session scan A 050dbf7b7f8a
fastapi-async-patterns is a skill published in the GitHub repository ils15/pantheon-legacy (12 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 3,246 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 2026-08-31.
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