Agent skill

Audit Feedback Loop

by NeuroAIHub in NeuroAIHub/BrainPilot

Coordinate iterative evidence and reliability reviews between BrainPilot's Principal Investigator and Auditor.

AGPL-3.0Auto-check passedAgent Workflows

Install Audit Feedback Loop

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

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

GitHub CLI
$ gh skill install NeuroAIHub/BrainPilot audit-feedback-loop --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-feedback-loop .claude/skills/audit-feedback-loop && 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-feedback-loop
GitHub stars
1.1k
Token cost
~467 tokens
SKILL.md length
156 words
Files
7 (incl. references)
Skills in repo
59
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Coordinate iterative evidence and reliability reviews between BrainPilot's Principal Investigator and Auditor.

  • PI needs to audit its own draft
  • SKILL.md covers Select the role procedure, Load only the needed templates and Specialist audit skills
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • An Expert result

What it does

Audit Feedback Loop is an agent skill from NeuroAIHub/BrainPilot. Coordinate iterative evidence and reliability reviews between BrainPilot's Principal Investigator and Auditor. Use when PI needs to audit its own draft, an Expert result, or a multi-agent synthesis; when Auditor receives such a review task; or when a previous audit requires correction and incremental re-review.

Its SKILL.md is about 470 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `agents/openai.yaml`, `references/audit-request-template.md` and `references/audit-response-template.md`).

It sits in Agent Workflows. The repository describes itself as: BrainPilot: Automating Brain Discovery with Agentic Research. The licence is AGPL-3.0.

When your agent uses it

  • PI needs to audit its own draft
  • An Expert result
  • A multi-agent synthesis
  • Auditor receives such a review task

Example prompts

  • “/audit-feedback-loop”

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 Feedback Loop loads about 467 tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 156 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~467
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.1k

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). 156 words, ~467 tokens.

Download SKILL.mdSave it as .claude/skills/audit-feedback-loop/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
audit-feedback-loop
description
Coordinate iterative evidence and reliability reviews between BrainPilot's Principal Investigator and Auditor. Use when PI needs to audit its own draft, an Expert result, or a multi-agent synthesis; when Auditor receives such a review task; or when a previous audit requires correction and incremental re-review.

Audit Feedback Loop

Use the durable task system for every handoff. Do not ask the user to relay audit findings.

Select the role procedure

  • If you are principal, read references/pi-orchestration.md and follow it. Load the request template before dispatching an audit. Load the revision-loop reference after receiving a revise or block verdict.
  • If you are auditor, read references/auditor-review.md and follow it. Load only the specialist audit skills relevant to the assigned risks, then load the response template before completing the task.
  • If you are any other agent, provide an evidence-addressable result to PI; do not start or adjudicate the audit loop yourself.

Load only the needed templates

Keep audit requests in dispatch_task, full findings in the versioned report, and only the compact report pointer in complete_task. Do not use a separate audit-report submission tool.

Specialist audit skills

© 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 6 other files (references) in packages/plugin-auditor/skills/audit-feedback-loop of NeuroAIHub/BrainPilot.

  • SKILL.md
  • agents/openai.yaml
  • references/audit-request-template.md
  • references/audit-response-template.md
  • references/auditor-review.md
  • references/pi-orchestration.md
  • references/revision-loop.md

Open the folder on GitHubat commit 93f6855

Compare with similar skills

Audit Feedback Loop 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 Feedback Loop compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Audit Feedback Loop this skillNeuroAIHub/BrainPilot1.1k—~467Automated safety check: PassAGPL-3.0
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k10 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k35 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Skill CreatorAzure/azqr79689 repos~8.2kAutomated safety check: PassApache-2.0

Similar skills

  • MCP Server Builder

    anthropics/skills

    Official

    Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.

    180k GitHub starsUsed in 63 repos~2.3k tokens
    Agent WorkflowsAuto-check passed
  • Hook Development for Claude Code Plugins

    anthropics/claude-plugins-official

    Official

    Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.

    38k GitHub starsUsed in 10 repos~4.1k tokens
    Agent WorkflowsAuto-check: notes
  • Using Superpowers

    farm-fe/farm

    A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

    5.6k GitHub starsUsed in 35 repos~1.4k tokens
    Agent WorkflowsAuto-check passed
  • Executing Plans Inline

    obra/superpowers

    Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.

    297k GitHub starsUsed in 2 repos~5.1k tokens
    Agent WorkflowsAuto-check passed
  • Skill Creator

    Azure/azqr

    Official

    Create new skills, modify and improve existing skills, and measure skill performance.

    796 GitHub starsUsed in 89 repos~8.2k tokens
    Agent WorkflowsAuto-check passed
  • Claude Code Agent Development

    anthropics/claude-plugins-official

    Official

    Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.

    38k GitHub starsUsed in 7 repos~2.8k tokens
    Agent WorkflowsAuto-check passed

More from NeuroAIHub/BrainPilot

All 59 skills in this repo
  • Deeplabcut

    NeuroAIHub/BrainPilot

    Toolbox for markerless animal pose estimation with DeepLabCut.

    1.1k GitHub stars~1.7k tokensUpdated 7 days ago
    Auto-check passed
  • Fmriprep

    NeuroAIHub/BrainPilot

    Preprocess task-based or resting-state fMRI data with fMRIPrep — a robust, BIDS-App preprocessing pipeline built on FSL, ANTs, FreeSurfer, AFNI, and Nilearn.

    1.1k GitHub stars~4.1k tokensUpdated 7 days ago
    Auto-check passed
  • Mne Python Guide

    NeuroAIHub/BrainPilot

    Domain-validated pipeline guidance for EEG/MEG data analysis using MNE-Python: data loading, preprocessing (filtering, ICA, re-referencing), epoching, ERP/ERF computation, time-frequency…

    1.1k GitHub stars~2.3k tokensUpdated 7 days ago
    Auto-check passed
  • Netneurotools Guide

    NeuroAIHub/BrainPilot

    Domain-validated guidance for network neuroscience analysis using netneurotools: datasets, brain network metrics, connectivity consensus, modularity, spatial statistics, null models, and cortical…

    1.1k GitHub stars~2.6k tokensUpdated 7 days ago
    Auto-check passed
  • Nature Figure

    NeuroAIHub/BrainPilot

    Submission-grade Nature/high-impact journal figure workflow for Python or R.

    1.1k GitHub starsUsed in 1 repo~1.3k tokens
    Auto-check passed
  • Pycortex Guide

    NeuroAIHub/BrainPilot

    Domain-validated guidance for cortical surface visualization and brain surface rendering of fMRI data using pycortex: data types (Volume, Vertex, Dataset), 2D cortical flatmaps, 3D WebGL brain…

    1.1k GitHub stars~1.6k tokensUpdated 7 days ago
    Auto-check passed

Categories

Questions about Audit Feedback Loop

What does Audit Feedback Loop do?

Coordinate iterative evidence and reliability reviews between BrainPilot's Principal Investigator and Auditor. Audit Feedback Loop is an agent skill from NeuroAIHub/BrainPilot. Coordinate iterative evidence and reliability reviews between BrainPilot's Principal Investigator and Auditor.

When should I use Audit Feedback Loop?

Audit Feedback Loop fits situations like: PI needs to audit its own draft; an Expert result; A multi-agent synthesis; auditor receives such a review task.

How do I install Audit Feedback Loop in Claude Code?

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

How do I install Audit Feedback Loop in Codex?

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

Can I use Audit Feedback Loop 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-feedback-loop -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-feedback-loop, .gemini/skills/audit-feedback-loop, .github/skills/audit-feedback-loop and .opencode/skills/audit-feedback-loop in your project.

What does Audit Feedback Loop need to run?

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

Does Audit Feedback Loop 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 Feedback Loop 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 Feedback Loop use?

Audit Feedback Loop 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 Feedback Loop use?

About 467 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. Its references folder adds about 3.7k tokens, read only when the agent opens those files.

What are the alternatives to Audit Feedback Loop?

Skills that share tags, products or a category with Audit Feedback Loop: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Audit Feedback Loop?

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.