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 ComeOnOliver/skillshub --skill unnamed-skillgit clone --depth 1 https://github.com/ComeOnOliver/skillshubWrote 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/comeonoliver/skillshub/unnamed-skill)<a href="https://agentmods.dev/skills/comeonoliver/skillshub/unnamed-skill"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/unnamed-skill/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/comeonoliver/skillshub/unnamed-skill"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/unnamed-skill.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 | $0.00000 | $0.00771 |
| Opus 5 | $0.00000 | $0.00385 |
| Sonnet 5 | $0.00000 | $0.00154 |
| Haiku 4.5 | $0.00000 | $0.00077 |
Grade A, and why
unnamed-skill 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 8d 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
自更新
让 Agent 从错误中学习，持续改进
快速使用
用户: 记录一下刚才的问题
用户: 更新口误识别的规则
用户: 这个教训要记下来
更新位置
| 内容类型 | 目标文件 | 示例 |
|---|---|---|
| 用户画像 | CLAUDE.md |
偏好、习惯 |
| 方法论 + 反馈 | */tips/*.md |
规则、教训 |
流程
用户触发（"刚才失败了"、"记录一下"）
↓
【自动】回溯上下文，找出问题点
↓
【自动】读目标文件全文，理解现有结构
↓
【自动】整合到正文相应位置（不是只往末尾加！）
↓
【自动】反馈记录只记事件，不重复规则
↓
汇报更新结果
关键：不要问"什么问题"，直接从上下文分析！
更新原则
❌ 错误做法：往末尾加
## 反馈记录
### 2026-01-14
- 教训：审查稿末尾必须生成删除任务清单
- 教训：用户确认时要分别确认口误和静音
只加到反馈记录 = 规则散落在末尾，下次还会犯错
✅ 正确做法：整合到正文
- 读全文，理解章节结构
- 找到相应位置，把规则整合进去
- 反馈记录只记事件：
- 审查稿标记了静音，但剪辑时漏删
## 四、审查稿格式
（新增删除任务清单模板）
## 五、确认与执行流程 ← 缺这个章节就新增
（新增分别确认口误和静音的流程）
## 反馈记录
### 2026-01-14
- 审查稿标记了静音，但剪辑时漏删（只删了口误）
触发条件
- 用户纠正 AI 错误
- 用户说"记住这个"、"以后注意"
- 发现新的通用规律
反例
2026-01-13
❌ 错误：
用户: 刚才失败了，更新到skills
AI: 请告诉我你发现了什么问题？ ← 不该问！
✅ 正确：
AI: [自动回溯上下文，找到失败点]
AI: [执行更新]
2026-01-14
❌ 错误：
AI: 已更新，在反馈记录新增3条教训 ← 只加末尾！
✅ 正确：
AI: [读全文，理解结构]
AI: [整合到正文相应位置]
AI: [反馈记录只记事件]
AI: 已更新：新增第五章"确认与执行流程"，更新第四章模板
原则：规则要整合到正文，反馈记录只是事件日志
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.
- 8d ago First seen · 111 lines · 0 tokens per session scan A b6a011850c91
unnamed-skill is a skill published in the GitHub repository ComeOnOliver/skillshub (63 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 771 tokens. 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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