Agent skill

Audit Evidence

by NeuroAIHub in NeuroAIHub/BrainPilot

Audit numeric, artifact, log, citation, and cross-report claims against inspectable evidence.

AGPL-3.0Auto-check passedResearch & Science

Install Audit Evidence

skills CLI
$ npx skills add NeuroAIHub/BrainPilot --skill audit-evidence -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install NeuroAIHub/BrainPilot audit-evidence --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/NeuroAIHub/BrainPilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/plugin-auditor/skills/audit-evidence .claude/skills/audit-evidence && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
audit-evidence
GitHub stars
1.1k
Token cost
~474 tokens
SKILL.md length
232 words
Files
2
Skills in repo
59
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Audit numeric, artifact, log, citation, and cross-report claims against inspectable evidence.

  • Works in 6 steps: Verify every decision-relevant number… → Verify that cited sources exist, support… → Verify that decision-relevant evidence… → …
  • Benchmark claims
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • External citations

What it does

Audit Evidence is an agent skill from NeuroAIHub/BrainPilot. Audit numeric, artifact, log, citation, and cross-report claims against inspectable evidence. Use for reports, syntheses, benchmark claims, external citations, or conflicting Expert outputs.

Its SKILL.md is about 470 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Research & Science, covering SOC 2 and security compliance and Citation management. The repository describes itself as: BrainPilot: Automating Brain Discovery with Agentic Research. The licence is AGPL-3.0.

When your agent uses it

  • Benchmark claims
  • External citations
  • Conflicting Expert outputs

Example prompts

  • “/audit-evidence”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Verify every decision-relevant number and every quantitative or completion
  2. Verify that cited sources exist, support the exact proposition, and are not
  3. Verify that decision-relevant evidence existed before the decision or
  4. Reconcile conflicting Expert reports and distinguish direct evidence,
  5. Check that report text matches the latest artifact revision and does not turn
  6. Record exact missing evidence and the likely owner; never fill gaps by

What it can do on your machine

Read from SKILL.md and the folder at commit 93f6855. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Audit Evidence loads about 474 tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 232 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~474

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from NeuroAIHub/BrainPilot at commit 93f6855, republished under its AGPL-3.0 licence (© NeuroAIHub). 232 words, ~474 tokens.

Download SKILL.mdSave it as .claude/skills/audit-evidence/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
audit-evidence
description
Audit numeric, artifact, log, citation, and cross-report claims against inspectable evidence. Use for reports, syntheses, benchmark claims, external citations, or conflicting Expert outputs.

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.

© NeuroAIHub, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in packages/plugin-auditor/skills/audit-evidence of NeuroAIHub/BrainPilot.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 93f6855

Compare with similar skills

Audit Evidence next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Audit Evidence compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Audit Evidence this skillNeuroAIHub/BrainPilot1.1k—~474Automated safety check: PassAGPL-3.0
Evidence Ledgerwanshuiyin/Anti-Autoresearch160—~11kAutomated safety check: NotesMIT
Ccf Literature Searchermikubaka88/CCFA-Skills3k—~3.1kAutomated safety check: PassMIT
Citation Graph Ingestgarrytan/gbrain31k—~3kAutomated safety check: PassMIT
Uk Citation Verification Matei Clejlawve-ai/awesome-legal-skills847—~2.9kAutomated safety check: PassMIT
Academic Norm Reviewaipoch/medical-research-skills1.9k—~2.6kAutomated safety check: PassMIT

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Questions about Audit Evidence

What does Audit Evidence do?

Audit numeric, artifact, log, citation, and cross-report claims against inspectable evidence. Audit Evidence is an agent skill from NeuroAIHub/BrainPilot. Audit numeric, artifact, log, citation, and cross-report claims against inspectable evidence.

When should I use Audit Evidence?

Audit Evidence fits situations like: benchmark claims; external citations; conflicting Expert outputs.

How do I install Audit Evidence in Claude Code?

Run `npx skills add NeuroAIHub/BrainPilot --skill audit-evidence -a claude-code`. Or copy the skill folder (packages/plugin-auditor/skills/audit-evidence in NeuroAIHub/BrainPilot) into .claude/skills/audit-evidence in your project. Claude Code loads it when a task matches its description.

How do I install Audit Evidence in Codex?

Run `npx skills add NeuroAIHub/BrainPilot --skill audit-evidence -a codex`. Or copy the skill folder (packages/plugin-auditor/skills/audit-evidence in NeuroAIHub/BrainPilot) into .agents/skills/audit-evidence in your project. Codex loads it when a task matches its description.

Can I use Audit Evidence in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NeuroAIHub/BrainPilot --skill audit-evidence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/audit-evidence, .gemini/skills/audit-evidence, .github/skills/audit-evidence and .opencode/skills/audit-evidence in your project.

What does Audit Evidence need to run?

SKILL.md names no scripts, command-line tools or credentials: Audit Evidence is instructions for the agent only.

Does Audit Evidence access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Audit Evidence safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Audit Evidence use?

Audit Evidence is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Audit Evidence use?

About 474 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Audit Evidence?

Skills that share tags, products or a category with Audit Evidence: Evidence Ledger (wanshuiyin/Anti-Autoresearch, 160 stars), Ccf Literature Searcher (mikubaka88/CCFA-Skills, 3k stars), Citation Graph Ingest (garrytan/gbrain, 31k stars) and Uk Citation Verification Matei Clej (lawve-ai/awesome-legal-skills, 847 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Audit Evidence?

NeuroAIHub (a GitHub organization) maintains it in NeuroAIHub/BrainPilot, which has 1,062 GitHub stars. The repository holds 59 skills in this directory. The repository was last updated on October 2, 2026.

Source: NeuroAIHub/BrainPilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.