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 chuwu57/Chuwu-PR-OS --skill skill-evolutiongit clone --depth 1 https://github.com/chuwu57/Chuwu-PR-OSWrote 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/chuwu57/chuwu-pr-os/skill-evolution)<a href="https://agentmods.dev/skills/chuwu57/chuwu-pr-os/skill-evolution"><img src="https://agentmods.dev/badge/skills/chuwu57/chuwu-pr-os/skill-evolution/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/chuwu57/chuwu-pr-os/skill-evolution"><img src="https://agentmods.dev/badge/skills/chuwu57/chuwu-pr-os/skill-evolution.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 | $0.00090 | $0.01241 |
| Opus 5.5 | $0.00036 | $0.00496 |
| Sonnet 5.5 | $0.00018 | $0.00248 |
| Haiku 4.5 | $0.00009 | $0.00124 |
Grade A, and why
skill-evolution 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Evolution
归属说明:本Skill由初五维护,属于初五的个人Skill体系。专业依据来自知识库;维护方法来自初五对知识深化与能力转化的任务定义。
目的与入口
让已有Skill在适用场景、证据判断、例外处理和执行效率上变得更成熟。评价对象是实际任务能力;Skill数量、正文长度、链接数量和改动数量均不是成绩。
知识库根目录由使用者明确指定为PR_KNOWLEDGE_ROOT;它必须指向获授权维护的知识库,不能默认为本合集安装目录。先按接入条件核对知识库规则、Skills/registry.yml与Skill进化任务合同。跨工作目录也从该根目录解析知识路径。
默认范围为注册表中Skills/PR/的已有Skill,包括新闻通稿这一PR专业执行能力;视觉、视频、个人内容制作和独立研究Skill不自动加入。用户指定范围优先。首次运行检查当前积累,后续复用已有运行记录,再读发生变化或尚未解决的相关材料。
怎样开始一轮
先看范围内Skill入口、知识调用入口、来源Workflow和实际Feedback/Test-Cases。没有反馈就标明缺口,不补造用户纠正;文件有改动也不等于存在能力问题。
按当前问题经知识库检索工具定位上游知识,只读取会改变诊断的材料。Follow Loop的Radar和运行记录是增量线索,不能自动升级为稳定原则;回到对应知识判断、Evidence与适用边界。无需重新运行Follow Loop或遍历其原始语料。
将证据支持的候选写成进化任务记录:当前问题、知识/反馈依据、预期能力变化、最小落点、验证方法和处置。区分已观察失败、静态连接缺口与待验证假设。优先处理会改变判断、反复返工或制造冲突的问题;允许只有保留或观察项的一轮。
怎样改、怎样验证
- 专业认识进入Domain;输入输出与决策条件进入Workflow;检索触发、工具适配与执行遗漏进入Skill。已有知识能按需调用时补入口,不复制专业全文。
- 没有证据支持改动时保留旧版。精简须说明原规则的作用由哪里承接,并用反例检查是否失守。
- 修改前保存实际工作树中的目标文件、依赖及版本指纹;不得以Git HEAD代替已有未提交版本。写入前复核文件未被其他任务修改。
- 验证使用任务合同确定的可观察结果。结构检查、受控模拟、真实任务、独立验证分别记录;有限测试只能支持有限结论。参照验证说明准备未提示预期答案的测试输入。
- 当前任务已授权维护时,完成有依据的小范围修正、验证和记录,不为每个阶段重新确认。知识库边界、案例入库及外部操作沿用用户已有授权;本Skill不扩大权限。
交付与后续使用
每轮交付范围覆盖表与有实质内容的进化任务记录:说明改了什么、保留什么、什么尚待验证,附来源、差异和测试证据。用户产物放当前任务outputs/;可复现回归进入目标Skill的Test-Cases/,真实维护反馈进入Feedback.md。需要跨轮追踪的过程保存在Projects/Skill-Evolution/,不把过程写入知识入口或另造知识总库。
按使用者知识库的注册/索引合同同步确实受影响的登记;运行其现有知识库检查,区分既有问题与本轮问题。Skill真实维护任务完成可登记本Skill的执行记录,但不能据此把所有被审阅Skill升级为真实业务验证或稳定能力。
日常业务调用目标Skill不会自动启动本Skill。下一轮只在用户调用时运行;本Skill自身的修正接受同样的证据和验证要求,不能自行放宽验收来宣称进化成功。
分发版路径与运行条件
先读取依赖说明。本Skill由初五维护;本副本为PROS 05。references/、assets/和scripts/相对本Skill目录解析;Domains/、Skills/前缀从合集根目录解析。包内Markdown链接相对所在文件解析。未附带的个人案例、文献底稿、状态与来源配置只能由使用者提供,不能声称已读取。
本项需要使用者知识库接入;先读知识库接入合同。未接入时仅完成缺口盘点和可完成的只读建议,不运行依赖完整知识库的写回与验收。
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.
- yesterday First seen · 47 lines · 90 tokens per session scan A f8c55cdcefdd
skill-evolution is a skill published in the GitHub repository chuwu57/Chuwu-PR-OS (76 stars, last pushed yesterday), licensed MIT. It adds 90 tokens to every session and 1,241 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-16.
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