MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Coordinate iterative evidence and reliability reviews between BrainPilot's Principal Investigator and Auditor.
$ npx skills add NeuroAIHub/BrainPilot --skill audit-feedback-loop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NeuroAIHub/BrainPilot audit-feedback-loop --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "audit-feedback-loop" agent skill from https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/plugin-auditor/skills/audit-feedback-loop into .claude/skills/audit-feedback-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-feedback-loop", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/plugin-auditor/skills/audit-feedback-loopType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NeuroAIHub/BrainPilot --skill audit-feedback-loop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NeuroAIHub/BrainPilot audit-feedback-loop --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeuroAIHub/BrainPilot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/plugin-auditor/skills/audit-feedback-loop .agents/skills/audit-feedback-loop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "audit-feedback-loop" agent skill from https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/plugin-auditor/skills/audit-feedback-loop into .agents/skills/audit-feedback-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-feedback-loop", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NeuroAIHub/BrainPilot --skill audit-feedback-loop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NeuroAIHub/BrainPilot audit-feedback-loop --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeuroAIHub/BrainPilot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/plugin-auditor/skills/audit-feedback-loop .cursor/skills/audit-feedback-loop && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "audit-feedback-loop" agent skill from https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/plugin-auditor/skills/audit-feedback-loop into .cursor/skills/audit-feedback-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-feedback-loop", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NeuroAIHub/BrainPilot.git --path packages/plugin-auditor/skills/audit-feedback-loop--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NeuroAIHub/BrainPilot --skill audit-feedback-loop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NeuroAIHub/BrainPilot audit-feedback-loop --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeuroAIHub/BrainPilot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/plugin-auditor/skills/audit-feedback-loop .gemini/skills/audit-feedback-loop && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "audit-feedback-loop" agent skill from https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/plugin-auditor/skills/audit-feedback-loop into .gemini/skills/audit-feedback-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-feedback-loop", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NeuroAIHub/BrainPilot audit-feedback-loopInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NeuroAIHub/BrainPilot --skill audit-feedback-loop -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NeuroAIHub/BrainPilot.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/plugin-auditor/skills/audit-feedback-loop .github/skills/audit-feedback-loop && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "audit-feedback-loop" agent skill from https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/plugin-auditor/skills/audit-feedback-loop into .github/skills/audit-feedback-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-feedback-loop", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NeuroAIHub/BrainPilot --skill audit-feedback-loop -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NeuroAIHub/BrainPilot audit-feedback-loop --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeuroAIHub/BrainPilot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/plugin-auditor/skills/audit-feedback-loop .opencode/skills/audit-feedback-loop && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "audit-feedback-loop" agent skill from https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/plugin-auditor/skills/audit-feedback-loop into .opencode/skills/audit-feedback-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-feedback-loop", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
audit-feedback-loopCoordinate 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. 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.
Read from SKILL.md and the folder at commit 93f6855. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from NeuroAIHub/BrainPilot at commit 93f6855, republished under its AGPL-3.0 licence (© NeuroAIHub). 156 words, ~467 tokens.
.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.Use the durable task system for every handoff. Do not ask the user to relay audit findings.
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.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.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.
© 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
SKILL.md and 6 other files (references) in packages/plugin-auditor/skills/audit-feedback-loop of NeuroAIHub/BrainPilot.
Open the folder on GitHubat commit 93f6855
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Audit Feedback Loop this skillNeuroAIHub/BrainPilot | 1.1k | — | ~467 | Automated safety check: Pass | AGPL-3.0 | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 10 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 35 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 297k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Skill CreatorAzure/azqr | 796 | 89 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/claude-plugins-official
Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.
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
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.
Azure/azqr
Create new skills, modify and improve existing skills, and measure skill performance.
anthropics/claude-plugins-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.
NeuroAIHub/BrainPilot
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Preprocess task-based or resting-state fMRI data with fMRIPrep — a robust, BIDS-App preprocessing pipeline built on FSL, ANTs, FreeSurfer, AFNI, and Nilearn.
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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…
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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…
Categories
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.
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.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Audit Feedback Loop is instructions for the agent only.
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.
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.
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.
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.
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.
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.