Evidence Gather logo

Evidence Gather

Organization
microsoft
evidence-gather

Builds the evidence register for the mapped clauses from the uploaded QMS exports and document indexes. Use when the user says "gather the evidence", "what do we have on file", "build the evidence register", or after scope-map in a readiness run.

Overview

Publishermicrosoft
Repositorycat-agent-skills
Skill nameevidence-gather
Stars
95
Forks
115
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Evidence Gather 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/microsoft/cat-agent-skills/tree/main/submissions/audit-readiness/skills/evidence-gather
  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/microsoft/cat-agent-skills.git /tmp/cat-agent-skills
mkdir -p .claude/skills
cp -r /tmp/cat-agent-skills/submissions/audit-readiness/skills/evidence-gather .claude/skills/evidence-gather
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Evidence Gather 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 Evidence Gather 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 Evidence Gather 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.

Evidence Gather

Purpose

Assemble the register the Govern engine validates: every candidate evidence item with type, date, area, person, and source identity.

When to use

After scope-map in every run.

Inputs

mapped.json; uploaded evidence indexes/exports (CSV/JSON/folder listings of minutes, audit reports, training records, calibration logs, NCR logs).

Steps

  1. For each required evidence type, list the items on file: type, date, area, person, doc id.
  2. Record dates exactly as documented - freshness is the engine's call, not this skill's.
  3. Write evidence.json.

Output

evidence.json - the register.

Grounding requirements

Every item cites its document id / export row.

Constraints

  • Gather only; no completeness or freshness judgments - "the folder looks full" is not a status.
  • Never omit an item because it looks old; the engine needs it to prove staleness.

Escalation / uncertainty

Evidence types with zero candidates are recorded as empty, not padded.

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 Evidence Gather AI skill do?

Builds the evidence register for the mapped clauses from the uploaded QMS exports and document indexes. Use when the user says "gather the evidence", "what do we have on file", "build the evidence register", or after scope-map in a readiness run.

Why use Evidence Gather on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/cat-agent-skills/tree/main/submissions/audit-readiness/skills/evidence-gather. 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 Evidence Gather?

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 Evidence Gather?

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

Is the Evidence Gather AI skill free?

Yes. It is published on GitHub by microsoft 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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