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/asunyliu/practiceai/frontend-rulegit clone --depth 1 https://github.com/asunYLiu/practiceAIWhat 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 | $0.00008 | $0.00145 |
| Opus 5 | $0.00004 | $0.00072 |
| Sonnet 5 | $0.00002 | $0.00029 |
| Haiku 4.5 | $0.00001 | $0.00015 |
Grade A, and why
frontend-rule 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 2d 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.
What it actually says
Rules for Frontend
- You must pay attention to visual clarity and contrast. Do not place white text on a white background.
- You must ensure the UX is pleasant. Boxes should grow to fit their contents, etc.
- When asking the user for sensitive information - you must use password style text-entry boxes in the UI.
- You should use Next.js as it works best with Vercel.
- This frontend will ultimately be deployed on Vercel, but it should be possible to test locally.
- Always provide users with a way to run the created UI once you have created it.
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.
- 2d ago First seen · 13 lines · 8 tokens per session scan A 27a4922afe19
frontend-rule is a cursor rule published in the GitHub repository asunYLiu/practiceAI (2 stars, last pushed 1y ago), licensed MIT. It adds 8 tokens to every session and 145 once invoked, about $0.0000 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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