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 jaychempan/coding-with-beat --skill cwb-chinesegit clone --depth 1 https://github.com/jaychempan/coding-with-beatWrote 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/jaychempan/coding-with-beat/cwb-chinese)<a href="https://agentmods.dev/skills/jaychempan/coding-with-beat/cwb-chinese"><img src="https://agentmods.dev/badge/skills/jaychempan/coding-with-beat/cwb-chinese/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/jaychempan/coding-with-beat/cwb-chinese"><img src="https://agentmods.dev/badge/skills/jaychempan/coding-with-beat/cwb-chinese.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 | $0.00061 | $0.00333 |
| Opus 5 | $0.00030 | $0.00167 |
| Sonnet 5 | $0.00012 | $0.00067 |
| Haiku 4.5 | $0.00006 | $0.00033 |
Grade A, and why
cwb-chinese 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 9d 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
Chinese — 国风 / 华语 / 古风
Trigger patterns
国风 / 中国风 / 华语 / 民谣 / 古风 / 国语 / guzheng / erhu / 古琴 / 中文歌
Action — run immediately in parallel
Run all three at once, collect output:
cwb smart_search "中国风 古风 古琴 传统乐器" > /tmp/cwb_cn_1.txt 2>&1 &
cwb smart_search "华语流行 国语歌 indie 民谣" > /tmp/cwb_cn_2.txt 2>&1 &
cwb smart_search "chinese traditional folk guzheng erhu instrumental" > /tmp/cwb_cn_3.txt 2>&1 &
wait
Display format
Show three groups. Renumber tracks globally (1, 2, 3… across all groups):
🏮 古风国乐 (results from angle 1)
🎤 华语独立 (results from angle 2)
🪘 传统器乐 (results from angle 3)
End with: 喜欢哪首？说编号我来播。 Do NOT auto-play.
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.
- 9d ago First seen · 39 lines · 61 tokens per session scan A 1f1af22f9179
cwb-chinese is a skill published in the GitHub repository jaychempan/coding-with-beat (114 stars, last pushed 2mo ago), licensed MIT. It adds 61 tokens to every session and 333 once invoked, about $0.0003 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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