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Audit Evidence

OrganizationPopular
NeuroAIHub
audit-evidence

Audit numeric, artifact, log, citation, and cross-report claims against inspectable evidence. Use for reports, syntheses, benchmark claims, external citations, or conflicting Expert outputs.

Overview

PublisherNeuroAIHub
RepositoryBrainPilot
Skill nameaudit-evidence
Stars
1.1K
Forks
74
Bundled files
1
LicenseAGPL-3.0
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 NeuroAIHub on GitHub. Read the source before you install it.

Installation

Install the Audit Evidence 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/NeuroAIHub/BrainPilot/tree/main/packages/plugin-auditor/skills/audit-evidence
  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/NeuroAIHub/BrainPilot.git /tmp/BrainPilot
mkdir -p .claude/skills
cp -r /tmp/BrainPilot/packages/plugin-auditor/skills/audit-evidence .claude/skills/audit-evidence
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Audit Evidence 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 Audit Evidence 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 Audit Evidence 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.

Audit Evidence

Build a claim-to-evidence map from the supplied target. Plausibility is not evidence, and absence of evidence is unverified, not confirmation.

Checks

  1. Verify every decision-relevant number and every quantitative or completion claim PI intends to deliver against a specific file, line, log, or structured output. For homogeneous supporting numbers or artifacts, inspect a representative set covering the main types and boundary cases, expanding it only when a discrepancy or shared dependency makes the remainder material.
  2. Verify that cited sources exist, support the exact proposition, and are not overstated beyond population, method, or result scope.
  3. Verify that decision-relevant evidence existed before the decision or revision it is claimed to support. A post-hoc citation does not retroactively ground an earlier choice. Use artifact versions, task records, checkpoints, diffs, and run metadata; if they cannot establish order, identify the exact missing chronology evidence and mark the link unverified.
  4. Reconcile conflicting Expert reports and distinguish direct evidence, interpretation, assumption, and unresolved uncertainty.
  5. Check that report text matches the latest artifact revision and does not turn limitations, missing checks, or qualified findings into unconditional claims.
  6. Record exact missing evidence and the likely owner; never fill gaps by inference or by recomputing results.

For a bounded parallel review, use evidence-extractor with the target report and its cited evidence packet. Ask for a compact claim map and candidate findings, not a verdict.

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 Audit Evidence AI skill do?

Audit numeric, artifact, log, citation, and cross-report claims against inspectable evidence. Use for reports, syntheses, benchmark claims, external citations, or conflicting Expert outputs.

Why use Audit Evidence on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/plugin-auditor/skills/audit-evidence. 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 Audit Evidence?

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 Audit Evidence?

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

Is the Audit Evidence AI skill free?

Yes. It is published on GitHub by NeuroAIHub under the AGPL-3.0 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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