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Pm Evidence Audit

Community
konglong87
pm-evidence-audit

Use when: 审核产品调研、市场分析、增长报告或 PRD 中的关键结论是否有可追溯证据,核对来源、日期、推断与冲突 Do NOT use when: 只需评审 PRD 的完整性和表达(用 pm-prd-review)、仅需撰写新报告而非审查现有主张

Overview

Publisherkonglong87
RepositorysuperPM
Skill namepm-evidence-audit
Stars
86
Forks
8
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by konglong87 on GitHub. Read the source before you install it.

Installation

Install the Pm Evidence Audit 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/konglong87/superPM/tree/main/skills/00-tools/pm-evidence-audit
  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/konglong87/superPM.git /tmp/superPM
mkdir -p .claude/skills
cp -r /tmp/superPM/skills/00-tools/pm-evidence-audit .claude/skills/pm-evidence-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pm Evidence Audit 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 Pm Evidence Audit 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 Pm Evidence Audit 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.

PM 证据审计

本 skill 审的是结论与证据之间的支持关系,不是替用户改写业务判断。pm-prd-review 负责文档结构、可行性、验收标准;本 skill 检查“市场规模、用户痛点、竞品功能、增长效果”等主张是否真的被来源支持。正式判定请按同目录的 references/rubric.md;该文件随单技能安装,不依赖完整技能包。

输入与边界

  • 接受用户给出的报告、片段、可访问的文档路径或资料链接。没有材料时,只问一条最关键的问题:要审哪份材料或哪些结论?
  • 默认只读并在聊天中报告:不默认写入、修改或覆盖源文件。用户明确要保存时再确认输出路径和覆盖风险。
  • 用户说不联网时,只用已提供材料;禁止联网、不要把外部来源写成“已核实”。资料不可访问、需要登录或无权限时如实标注,不能编造来源、数据、访谈或截图。
  • 不向第三方上传用户的内部材料。必要的检索仅针对公开、非敏感主张;若环境没有搜索工具,停止外部核验并说明局限。

审计流程

  1. 界定范围:列出会影响产品决策的关键主张,按在原文中的位置编号 CLAIM-001、CLAIM-002……;长文先审高影响结论,不假装全文已覆盖。把原话、指标口径、时间/地区/人群记清楚。
  2. 追踪证据:逐条找主张引用的原始资料,核对作者/机构、发布日期或数据采集日期、原始值与定义。来源存在不等于它支持当前主张;转述文章、摘要和推断需回溯到可访问的原始材料。用户允许联网且工具可用时才进一步核验;不得凭搜索摘要宣称看过全文。
  3. 处理矛盾与推断:有可信来源冲突时并列双方和口径差异,不能挑一个支持自己结论的来源;因果、外推和预测要拆出前提。按 rubric 的固定状态常量判定,给出“为何如此”及无法确认的地方。
  4. 汇报下一步:对高影响且证据薄弱的主张给出最小的下一步验证动作和责任人建议。审计不能自动把 UNVERIFIED 改成 VERIFIED,也不自动修改用户原文。

输出格式

先写审计范围、检查时间、是否联网和未覆盖部分。随后输出可追溯表:

主张 ID / 原文位置主张摘要状态来源与日期依据和局限决策影响下一步验证动作
CLAIM-001 / §2…UNVERIFIED未提供;不可假设无法找到支持该口径的数据高请提供原始报告或调整措辞

状态只使用 rubric 定义的枚举常量;不能用模糊的“基本可信”代替。来源附可访问链接或文件位置及日期;不存在的来源写“未提供”,不可伪造。最后列出可以保留、需降级措辞、需补证据、存在冲突四类建议。高风险结论要说明如果验证失败,哪项产品决策需要重审。

如果用户要求对源报告直接修订,先另行确认修改范围并保留原文;本次证据审计的默认产物仍是独立报告。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Pm Evidence Audit AI skill do?

Use when: 审核产品调研、市场分析、增长报告或 PRD 中的关键结论是否有可追溯证据,核对来源、日期、推断与冲突 Do NOT use when: 只需评审 PRD 的完整性和表达(用 pm-prd-review)、仅需撰写新报告而非审查现有主张

Why use Pm Evidence Audit on TypingMind?

Because you install it once and use it with any model. Pm Evidence Audit 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 Pm Evidence Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/konglong87/superPM/tree/main/skills/00-tools/pm-evidence-audit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Pm Evidence Audit?

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 Pm Evidence Audit?

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

Is the Pm Evidence Audit AI skill free?

Yes. It is published on GitHub by konglong87 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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