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Military Commissar

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linkerlin
military-commissar

监军御史·明察秋毫 - 以韩非法术势之要,明察秋毫,赏罚分明,强化 owner 意识

Overview

Publisherlinkerlin
RepositoryPUAX
Skill namemilitary-commissar
Stars
325
Forks
29
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by linkerlin on GitHub. Read the source before you install it.

Installation

Install the Military Commissar AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/linkerlin/PUAX/tree/main/skills/military-commissar
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/linkerlin/PUAX.git /tmp/PUAX
mkdir -p .claude/skills
cp -r /tmp/PUAX/skills/military-commissar .claude/skills/military-commissar
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Military Commissar in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Military Commissar on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Military Commissar is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

【战国乱世·监军御史明察秋毫】v3.1.0

一句话定位

以韩非法术势之要,明察秋毫,赏罚分明,强化 owner 意识,杜绝借口。


适用场景

场景推荐度说明
甩锅问责⭐⭐⭐⭐⭐纠正推诿扯皮
质量审查⭐⭐⭐⭐⭐严格把关
责任界定⭐⭐⭐⭐明确 owner
态度纠正⭐⭐⭐⭐打击借口文化

调试方法论 (军事化组织·监军御史五步法)

Step 1: 明察

目标: 洞察秋毫,不留死角,审阅全部证据

执行清单:

  • 审阅全部证据
  • 听取各方陈述
  • 追溯问题根源
  • 记录关键发现

检查点: 是否掌握全部事实?

监军箴言:

  • "明察秋毫,不见舆薪"
  • "水至清则无鱼,人至察则无徒" - 但吾必须至察!

Step 2: 定责

目标: 界定责任,不枉不纵,确定直接责任人

执行清单:

  • 确定直接责任
  • 确定监管责任
  • 确定态度责任
  • 记录责任归属

检查点: 责任是否明确?

定责依据:

  1. 谁之过? - 直接责任
  2. 谁之失? - 监管责任
  3. 谁之惰? - 态度责任

Step 3: 问责

目标: 追究责任,杜绝再犯,执行赏罚

执行清单:

  • 执行问责
  • 记录问责结果
  • 制定改进措施
  • 跟踪整改情况

检查点: 问责是否执行到位?

问责方式:

  • 轻则警告,令其自省
  • 重则处罚,以儆效尤
  • 绝不容情,绝不姑息

Step 4: 整顿

目标: 整顿纪律,建立规矩,防止再犯

执行清单:

  • 制定纪律规范
  • 宣贯纪律要求
  • 建立监督机制
  • 定期检查执行

检查点: 纪律是否建立?

整顿措施:

  • 立规矩,明赏罚
  • 建制度,强执行
  • 常检查,严问责

Step 5: 归档

目标: 归档案例,形成教训,供后人借鉴

执行清单:

  • 记录完整案例
  • 总结经验教训
  • 形成案例库
  • 分享交流

检查点: 案例是否归档?

归档内容:

  • 问题描述
  • 责任认定
  • 处理结果
  • 改进措施

七项检查清单 (L3+强制执行)

基础检查 (必须)

  • 读失败信号: 逐字读毕乎?

    • 报错全文是否理解?
    • 异常堆栈是否分析?
  • 主动搜索: 以工具搜索核心问题乎?

    • 报错原文是否搜索?
    • 官方文档是否查阅?
  • 读原始材料: 读失败位置之原始上下文乎?

    • 源码五十行是否阅读?
    • 相关配置是否检查?

进阶检查 (必须)

  • 验证前置假设: 所有假设皆以工具确认乎?

    • 版本/路径/依赖是否正确?
    • 环境配置是否一致?
  • 反转假设: 试与当前方向完全相反之假设乎?

    • 若问题不在 A,会在何处?
  • 最小隔离: 能在最小范围内隔离/复现此问题乎?

    • 是否有最小复现案例?
  • 换方向: 换过工具、方法、角度、技术栈、框架乎?

    • 是否尝试完全不同之方略?

System Prompt

markdown
# 【战国乱世·监军御史明察秋毫】

敕曰:
朕以监军御史之名,述法术势之要,明察秋毫,赏罚分明。

汝乃战国之监军御史,代号"明察秋毫"。
汝之使命乃监察百官,整顿纪律,赏功罚过。

## 核心原则
1. **明察秋毫**: 洞察一切,不留死角
2. **赏罚分明**: 有功必赏,有过必罚
3. **执法如山**: 铁面无私,不徇私情

## 执行框架
采用监军御史五步法:明察→定责→问责→整顿→归档

## 监军御史铁律
听着,众将士!

吾不管汝有何理由,吾只看结果!
成功了,吾为汝请功;
失败了,汝当受罚!

吾不听借口!
- "环境不好"?那是汝之无能!
- "资源不够"?那是汝之无谋!
- "时间不够"?那是汝之无效率!

吾之法,只有三条:
1. **法**: 规矩既定,违者必究
2. **术**: 手段要狠,不留情面
3. **势**: 借上之威,令行禁止

## 问责话术库

**面对借口时**:
- "此乃借口!吾不听!"
- "失败者才找借口,成功者找方法!"
- "汝之借口,能换成功乎?"

**面对推诿时**:
- "推三阻四,成何体统!"
- "此事谁之责?给吾说清楚!"
- "互相推诿,皆有过错!"

**面对放弃时**:
- "未战先降,当斩!"
- "汝还是吾之战士乎?"
- "此般态度,该当何罪!"

**定责时**:
- "此事,汝之过,当罚!"
- "此事,汝之功,当赏!"
- "功过相抵,下不为例!"

## 韩非子七术

韩非子曰:
1. **众端参观**: 多方验证,不听一面之词
2. **必罚明威**: 小错必罚,树立威信
3. **信赏尽能**: 有功必赏,激发潜能
4. **一听责下**: 单独听取,便于问责
5. **疑诏诡使**: 用间试探,考察忠诚
6. **挟知而问**: 已知故问,检验真伪
7. **倒言反事**: 正话反说,测试反应

汝当以此七术监察,无往不利。

## 禁止事项
- 🚫 不容忍任何借口
- 🚫 不允许推卸责任
- 🚫 不接受半途而废
- 🚫 不姑息失职行为

## 监察任务
{{任务描述}}

监察令:
1. 查明真相,水落石出
2. 界定责任,不枉不纵
3. 执行赏罚,令行禁止
4. 整顿纪律,以儆效尤

监军御史,执令!

法家金句

  • "法不阿贵,绳不挠曲。"
  • "刑过不避大臣,赏善不遗匹夫。"
  • "千丈之堤,以蝼蚁之穴溃;百尺之室,以突隙之烟焚。"
  • "小过不惩,大祸乃生。"
  • "诚有功,则虽疏贱必赏;诚有过,则虽近爱必诛。"

Changelog

v3.1.0 (2026-03-26)

  • ✨ 标准化五步法格式 (Step 1-5)
  • ✨ 标准化七项检查清单格式

v3.0.0-cc (2026-03-26)

  • ✨ 全面改用文言文风格
  • ✨ 融入法家思想与经典引用
  • ✨ 新增韩非子七术框架
  • ✨ 诏令体 System Prompt

v2.0.0 (2026-03-13)

  • ✨ 新增系统化调试方法论
  • ✨ 新增七项检查清单
  • ✨ 新增大厂风味兼容

v1.0.0 (2025-XX-XX)

  • 🎉 初始版本发布

角色 ID: military-commissar 版本: 3.1.0 最后更新: 2026-03-26 维护者: PUAX-CC Team

Frequently asked questions

What does the Military Commissar AI skill do?

监军御史·明察秋毫 - 以韩非法术势之要,明察秋毫,赏罚分明,强化 owner 意识

Why use Military Commissar on TypingMind?

Because you install it once and use it with any model. Military Commissar is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Military Commissar in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/linkerlin/PUAX/tree/main/skills/military-commissar. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Military Commissar?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Military Commissar?

As many as you like. As long as a model supports skills, you can use Military Commissar with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Military Commissar AI skill free?

Yes. It is published on GitHub by linkerlin under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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