Home / hanzhcn / laohan-skills · laohan-skillcreator/SKILL.md · GitHub

laohan-skillcreator skillA

laohan-skillcreator is agent-read markdown (skill) from hanzhcn/laohan-skills: 创建、审计、修复和优化 Agent Skills。Use when 用户要新建 Skill、检查 Skill 质量、恢复原版或修正明确错误、比较新旧效果,或更新本 Skill 借鉴的上游方法。触发词:"创建skill""写一个skill""改skill""优化skill""给skill打分""skill体检""review skill"。.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# laohan Skill 创建·审计·修复·优化器

创建是生产能力,审计是只读诊断,修复是小范围纠错,优化才是实验性演进。先判断模式,再使用与风险相称的验证;不得把一次明确的小修复升级成完整优化项目。

## 参考来源

当前借鉴 6 组上游来源。具体文件与最近核验 commit 记录在 [references/upstream-sources.json](references/upstream-sources.json)。修改本 Skill 自身或用户要求更新方法时,先运行 `scripts/check-upstreams.sh`;发现上游变化后阅读相关 diff,只吸收能改善本地真实行为的变化,不自动覆盖本地方法。

1. **anthropics/skills · skill-creator**(https://github.com/anthropics/skills)
   - 借鉴:渐进式披露(metadata→body→bundled 三层)、同条件 baseline 对比、盲比较、description 优化器、从 transcript 找重复工作、更新保持原名
   - 核心理念:好的 skill 分三层渐进披露,不是一坨

2. **Agent Skills specification / best practices**(https://github.com/agentskills/agentskills)
   - 借鉴:frontmatter 公共规范、渐进式披露、真实经验优先、控制强度与任务脆弱性匹配、从执行轨迹删除无效步骤
   - 核心理念:Skill 应补充 agent 缺少的领域经验,不重复常识;过度全面同样会降低效果

3. **mattpocock/skills · writing-great-skills**(https://github.com/mattpocock/skills)
   - 借鉴:触发分支、信息层级、完成条件、单一真源、去除 duplication/sediment/no-op
   - 核心理念:Skill 追求过程可预测,不追求所有输出相同;不同分支只加载各自需要的信息

4. **thananon/9arm-skills · debug-mantra/post-mortem/scrutinize**(https://github.com/thananon/9arm-skills)
   - 借鉴:verbatim recitation(首次一次+逐字+silent apply)、硬门控措辞、refuse to draft、跨 skill offer 非自动、先质疑意图、cite or it didn't happen
   - 核心理念:不确定就停下来,每个 claim 要有引用
…

Read the whole file at its exact version.

How to install

Latest version
mdr add hanzhcn/laohan-skills/laohan-skillcreator@v2.2.0
Exact content
mdr add hanzhcn/laohan-skills/laohan-skillcreator@sha256:9a9c1876c938b55e

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_55dfn6xtfp6v4346.svg)](https://markdownregistry.com/a/art_55dfn6xtfp6v4346)

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Versions

versioncommittedcommitsizeaudit
v2.2.0 latest2026-07-20 eeb59f4 20,712 BA view · diff
v2.2.02026-07-20 446cb18 20,566 BA view · diff
v2.12026-07-11 a268666 16,495 BA view · diff
v22026-06-14 d6f7680 14,374 BA view · diff
v12026-05-22 fa0389f 15,475 BB view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (20712 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

hanzhcn/laohan-skills · 11 stars · license MIT · pushed 2026-09-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_55dfn6xtfp6v4346
GET https://markdownregistry.com/api/v1/resolve?ref=hanzhcn/laohan-skills/laohan-skillcreator
GET https://markdownregistry.com/api/v1/blob/9a9c1876c938b55ea904041ff7a9b9f09a3c4d573e794e19094171925c669e87

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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