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 ssmurfgg04-gif/context-m --skill skill-finder-cngit clone --depth 1 https://github.com/ssmurfgg04-gif/context-mWrote 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/ssmurfgg04-gif/context-m/skill-finder-cn)<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/skill-finder-cn"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/skill-finder-cn/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/ssmurfgg04-gif/context-m/skill-finder-cn"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/skill-finder-cn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00073 | $0.00358 |
| Opus 5 | $0.00036 | $0.00179 |
| Sonnet 5 | $0.00015 | $0.00072 |
| Haiku 4.5 | $0.00007 | $0.00036 |
Grade A, and why
skill-finder-cn 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
Skill 查找器
帮助用户发现和安装 ClawHub 上的 Skills。
功能
当用户问：
- "有什么 skill 可以帮我...？"
- "找一个能做 X 的 skill"
- "有没有 skill 可以..."
- "我需要一个能...的 skill"
这个 Skill 会帮助搜索 ClawHub 并推荐相关的 Skills。
使用方法
1. 搜索 Skills
clawhub search "<用户需求>"
2. 查看详情
clawhub inspect <skill-name>
3. 安装 Skill
clawhub install <skill-name>
工作流程
1. 理解用户需求
2. 提取关键词
3. 搜索 ClawHub
4. 列出相关 Skills
5. 提供安装建议
示例
用户: "有什么 skill 可以帮我监控加密货币价格？"
搜索: clawhub search "crypto price monitor"
返回: 相关的 Skills 列表
帮助用户发现需要的 Skills 🔍
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 67 lines · 73 tokens per session scan A ed5363ce714a
skill-finder-cn is a skill published in the GitHub repository ssmurfgg04-gif/context-m (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 73 tokens to every session and 358 once invoked, 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 2026-09-03.
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setup-open-index
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codex-memory-guard
Guard task boundaries and preserve confirmed critical project state across Codex compaction. Use when a user wants topic-switch guidance, write-through critical memory, compact HANDOFF checkpoints, PreCompact and compact-resume hooks, four-layer Markdown memory initialization, or memory workflow auditing.