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/amoylab/unla/cursorrulesgit clone --depth 1 https://github.com/AmoyLab/UnlaWhat 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 | $0.00083 | $0.00083 |
| Opus 5 | $0.00042 | $0.00042 |
| Sonnet 5 | $0.00017 | $0.00017 |
| Haiku 4.5 | $0.00008 | $0.00008 |
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
- All comments must be in English and only included where the code is not self-explanatory—avoid redundant or obvious comments.
- You can read docs/.ai/SOP.server.zh-CN.md for server when the task starts.
- You can read docs/.ai/SOP.client.zh-CN.md for web when the task starts.
- Please check out docs/.ai/release.md for the release process.
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 · 4 lines · 83 tokens per session scan A 1c7c729b300d
cursorrules is a cursor rule published in the GitHub repository AmoyLab/Unla (2,215 stars, last pushed 5d ago), licensed MIT. It adds 83 tokens to every session, about $0.0004 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 2026-08-30.
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