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 BingHanOfUESTC/open_agent_team --skill skill-decomposition-frameworkgit clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_teamWrote 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/binghanofuestc/open_agent_team/skill-decomposition-framework)<a href="https://agentmods.dev/skills/binghanofuestc/open_agent_team/skill-decomposition-framework"><img src="https://agentmods.dev/badge/skills/binghanofuestc/open_agent_team/skill-decomposition-framework/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/binghanofuestc/open_agent_team/skill-decomposition-framework"><img src="https://agentmods.dev/badge/skills/binghanofuestc/open_agent_team/skill-decomposition-framework.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 | $0.00032 | $0.00493 |
| Opus 5 | $0.00016 | $0.00246 |
| Sonnet 5 | $0.00006 | $0.00099 |
| Haiku 4.5 | $0.00003 | $0.00049 |
Grade A, and why
skill-decomposition-framework 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
Skill Decomposition Framework
技能拆解的目标不是为当前任务写更多提示词，而是找出“未来类似任务也会用到的能力”。
1. 拆解维度
从 Boss 期望输出中抽象：
内容能力：需要理解、分析、生成或校验什么内容。
结构能力：输出需要什么组织方式、层级和顺序。
风格能力：语气、密度、读者对象和表达约束。
流程能力：需要先做什么、后做什么、如何迭代。
评价能力：什么算好，什么算失败，如何打分。
安全能力：哪些内容不能写入 skill，哪些风险必须审查。
2. 可泛化能力判断
一个能力适合写成 skill，当它满足：
可在多个类似任务中复用
可描述为方法、步骤、检查表或失败模式
不依赖本次任务的专属实体或结论
不需要记住 Boss 的参考输出
能被执行结果验证
不适合写成 skill：
只服务本次任务的答案片段
Boss 样例输出的固定结构复制
一次性格式偏好
不可复现的数据或隐含知识
3. 技能边界
每个 skill 必须定义：
它解决什么问题
它不解决什么问题
它需要哪些输入
它产出什么中间件或结果
它何时被调用
它如何被评价
4. 拆分粒度
过粗的问题：
一个 skill 包含分析、生成、评价、返修全部逻辑
难以定位失败原因
过细的问题：
每个小格式都拆一个 skill
skill 只能服务当前任务
调用成本高但泛化收益低
推荐粒度：一个 skill 对应一类稳定能力。
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 · 86 lines · 32 tokens per session scan A 1b21fd560594
skill-decomposition-framework is a skill published in the GitHub repository BingHanOfUESTC/open_agent_team (106 stars, last pushed 2mo ago), licensed MIT. It adds 32 tokens to every session and 493 once invoked, about $0.0002 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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