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/seanleecoder/rule-trace/cursorrulesgit clone --depth 1 https://github.com/seanleecoder/rule-traceWhat 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 | $0.00159 | $0.00159 |
| Opus 5 | $0.00079 | $0.00079 |
| Sonnet 5 | $0.00032 | $0.00032 |
| Haiku 4.5 | $0.00016 | $0.00016 |
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.
What it actually says
You are working on a Python FastAPI service.
Conventions:
- Python 3.12. Dependencies are managed with uv; add packages with
uv add, never edit requirements by hand. - Format with ruff and run
ruff check --fixbefore committing. Type-check with mypy in strict mode. - Every endpoint must have a Pydantic request and response model — no raw dicts in or out.
- All database queries are async (SQLAlchemy async session). Never block the event loop with sync I/O.
- Secrets come from environment variables loaded via the settings module; never hardcode credentials or read os.environ directly in handlers.
- Tests use pytest and must cover both the happy path and at least one failure path for each endpoint.
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 · 10 lines · 159 tokens per session scan A eb5f429f5e74
cursorrules is a cursor rule published in the GitHub repository seanleecoder/rule-trace (5 stars, last pushed 1mo ago), licensed MIT. It adds 159 tokens to every session, about $0.0008 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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