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 agentmods add rules/benja-pauls/serpentstack/cursorrulesgit clone --depth 1 https://github.com/Benja-Pauls/SerpentStackWhat 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 | $0.01052 | $0.01052 |
| Opus 5 | $0.00526 | $0.00526 |
| Sonnet 5 | $0.00210 | $0.00210 |
| Haiku 4.5 | $0.00105 | $0.00105 |
Grade A, and why
cursorrules 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 yesterday.
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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SerpentStack — Cursor Rules
You are working on SerpentStack, a fullstack template: FastAPI + React + PostgreSQL + Terraform.
Architecture
- Backend: FastAPI, Python 3.12+, async SQLAlchemy 2.0 (asyncpg), Alembic, pydantic-settings, structlog, SlowAPI, Sentry SDK, ARQ
- Frontend: React 18, Vite, TypeScript (strict), Tailwind CSS v4, React Router, React Query, shadcn/ui
- Cache/Queue: Redis 7 (rate limiting, background tasks)
- Database: PostgreSQL 16 (Docker locally, RDS in production)
- Testing: pytest + testcontainers (real Postgres), httpx AsyncClient, Vitest
- Infrastructure: Terraform, AWS (App Runner, ECR, RDS, S3)
Key Conventions
Python / Backend
- All route handlers and service methods MUST be
async def - Use
AsyncSessionfromsqlalchemy.ext.asyncio— never sync Session - Services return
Noneor domain values — NEVER raiseHTTPExceptionin services - Services flush() but do NOT commit() — routes own the transaction boundary
- Routes translate service results to HTTP responses (None → 404, etc.) and call
await db.commit()after mutations - New models MUST be imported in
backend/app/models/__init__.pyfor Alembic to detect them - Use
get_logger(__name__)with structured event-style logging:logger.info("event_name", key=value) - UUID primary keys on all models — never integer IDs
- Pydantic schemas in
schemas/— never expose ORM models directly - API routes prefixed with
/api/v1/ - Protect routes with
Depends(get_current_user)fromroutes/auth.py— returnsUserInfo - Database engine is lazily initialized (not at import time)
- Line length: 100 characters
- Formatter/linter: ruff
TypeScript / Frontend
- Strict mode — no
anywithout justifying comment - Named exports for hooks and utilities (components may use default exports)
- Types auto-generated from OpenAPI spec via
make types— prefer generated types over hand-written - Use React Query for data fetching, React Router for routing
- Tailwind CSS v4 for styling
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.
- yesterday First seen · 92 lines · 1,052 tokens per session scan A 97cd53520bb8
cursorrules is a cursor rule published in the GitHub repository Benja-Pauls/SerpentStack (2 stars, last pushed 5mo ago), licensed MIT. It adds 1,052 tokens to every session, about $0.0053 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 2026-08-31.
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