Claude Settings Audit logo

Claude Settings Audit

OrganizationPopular
getsentry
claude-settings-audit

Analyze a repository to generate recommended Claude Code settings.json permissions. Use when setting up a new project, auditing existing settings, or determining which read-only bash commands to allow. Detects tech stack, build tools, and monorepo structure.

Overview

Publishergetsentry
Repositoryskills
Skill nameclaude-settings-audit
Stars
1K
Forks
53
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Claude Settings Audit 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/getsentry/skills/tree/main/skills/claude-settings-audit
  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/getsentry/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/claude-settings-audit .claude/skills/claude-settings-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Claude Settings Audit 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 Claude Settings Audit 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 Claude Settings Audit 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.

Claude Settings Audit

Analyze this repository and generate recommended Claude Code settings.json permissions for read-only commands.

Phase 1: Detect Tech Stack

Run these commands to detect the repository structure:

bash
ls -la
find . -maxdepth 2 \( -name "*.toml" -o -name "*.json" -o -name "*.lock" -o -name "*.yaml" -o -name "*.yml" -o -name "Makefile" -o -name "Dockerfile" -o -name "*.tf" \) 2>/dev/null | head -50

Check for these indicator files:

CategoryFiles to Check
Pythonpyproject.toml, setup.py, requirements.txt, Pipfile, poetry.lock, uv.lock
Node.jspackage.json, package-lock.json, yarn.lock, pnpm-lock.yaml
Gogo.mod, go.sum
RustCargo.toml, Cargo.lock
RubyGemfile, Gemfile.lock
Javapom.xml, build.gradle, build.gradle.kts
BuildMakefile, Dockerfile, docker-compose.yml
Infra*.tf files, kubernetes/, helm/
Monorepolerna.json, nx.json, turbo.json, pnpm-workspace.yaml

Phase 2: Detect Services

Check for service integrations:

ServiceDetection
Sentrysentry-sdk in deps, @sentry/* packages, .sentryclirc, sentry.properties
LinearLinear config files, .linear/ directory

Read dependency files to identify frameworks:

  • package.json → check dependencies and devDependencies
  • pyproject.toml → check [project.dependencies] or [tool.poetry.dependencies]
  • Gemfile → check gem names
  • Cargo.toml → check [dependencies]

Phase 3: Check Existing Settings

bash
cat .claude/settings.json 2>/dev/null || echo "No existing settings"

Phase 4: Generate Recommendations

Build the allow list by combining:

Baseline Commands (Always Include)

json
[
  "Bash(ls:*)",
  "Bash(pwd:*)",
  "Bash(find:*)",
  "Bash(file:*)",
  "Bash(stat:*)",
  "Bash(wc:*)",
  "Bash(head:*)",
  "Bash(tail:*)",
  "Bash(cat:*)",
  "Bash(tree:*)",
  "Bash(git status:*)",
  "Bash(git log:*)",
  "Bash(git diff:*)",
  "Bash(git show:*)",
  "Bash(git branch:*)",
  "Bash(git remote:*)",
  "Bash(git tag:*)",
  "Bash(git stash list:*)",
  "Bash(git rev-parse:*)",
  "Bash(gh pr view:*)",
  "Bash(gh pr list:*)",
  "Bash(gh pr checks:*)",
  "Bash(gh pr diff:*)",
  "Bash(gh issue view:*)",
  "Bash(gh issue list:*)",
  "Bash(gh run view:*)",
  "Bash(gh run list:*)",
  "Bash(gh run logs:*)",
  "Bash(gh repo view:*)",
  "Bash(gh api:*)"
]

Stack-Specific Commands

Only include commands for tools actually detected in the project.

Python (if any Python files or config detected)
If DetectedAdd These Commands
Any Pythonpython --version, python3 --version
poetry.lockpoetry show, poetry env info
uv.lockuv pip list, uv tree
Pipfile.lockpipenv graph
requirements.txt (no other lock)pip list, pip show, pip freeze
Node.js (if package.json detected)
If DetectedAdd These Commands
Any Node.jsnode --version
pnpm-lock.yamlpnpm list, pnpm why
yarn.lockyarn list, yarn info, yarn why
package-lock.jsonnpm list, npm view, npm outdated
TypeScript (tsconfig.json)tsc --version
Other Languages
If DetectedAdd These Commands
go.modgo version, go list, go mod graph, go env
Cargo.tomlrustc --version, cargo --version, cargo tree, cargo metadata
Gemfileruby --version, bundle list, bundle show
pom.xmljava --version, mvn --version, mvn dependency:tree
build.gradlejava --version, gradle --version, gradle dependencies
Build Tools
If DetectedAdd These Commands
Dockerfiledocker --version, docker ps, docker images
docker-compose.ymldocker-compose ps, docker-compose config
*.tf filesterraform --version, terraform providers, terraform state list
Makefilemake --version, make -n

Skills (for Sentry Projects)

If this is a Sentry project (or sentry-skills plugin is installed), include:

json
[
  "Skill(sentry-skills:agents-md)",
  "Skill(sentry-skills:blog-writing-guide)",
  "Skill(sentry-skills:brand-guidelines)",
  "Skill(sentry-skills:claude-settings-audit)",
  "Skill(sentry-skills:code-review)",
  "Skill(sentry-skills:code-simplifier)",
  "Skill(sentry-skills:commit)",
  "Skill(sentry-skills:create-branch)",
  "Skill(sentry-skills:django-access-review)",
  "Skill(sentry-skills:django-perf-review)",
  "Skill(sentry-skills:doc-coauthoring)",
  "Skill(sentry-skills:document-api-endpoint)",
  "Skill(sentry-skills:find-bugs)",
  "Skill(sentry-skills:gh-review-requests)",
  "Skill(sentry-skills:gha-security-review)",
  "Skill(sentry-skills:iterate-pr)",
  "Skill(sentry-skills:pr-link-issue)",
  "Skill(sentry-skills:pr-writer)",
  "Skill(sentry-skills:presentation-creator)",
  "Skill(sentry-skills:prompt-optimizer)",
  "Skill(sentry-skills:secret-serialization)",
  "Skill(sentry-skills:security-review)",
  "Skill(sentry-skills:skill-scanner)",
  "Skill(sentry-skills:skill-writer)",
  "Skill(sentry-skills:sred-project-organizer)",
  "Skill(sentry-skills:sred-work-summary)",
  "Skill(sentry-skills:triage-frontend-issues)",
  "Skill(sentry-skills:typing-exclusion-worker)"
]

WebFetch Domains

Always Include (Sentry Projects)
json
[
  "WebFetch(domain:docs.sentry.io)",
  "WebFetch(domain:develop.sentry.dev)",
  "WebFetch(domain:docs.github.com)",
  "WebFetch(domain:cli.github.com)"
]
Framework-Specific
If DetectedAdd Domains
Djangodocs.djangoproject.com
Flaskflask.palletsprojects.com
FastAPIfastapi.tiangolo.com
Reactreact.dev
Next.jsnextjs.org
Vuevuejs.org
Expressexpressjs.com
Railsguides.rubyonrails.org, api.rubyonrails.org
Gopkg.go.dev
Rustdocs.rs, doc.rust-lang.org
Dockerdocs.docker.com
Kuberneteskubernetes.io
Terraformregistry.terraform.io

MCP Server Suggestions

MCP servers are configured in .mcp.json (not settings.json). Check for existing config:

bash
cat .mcp.json 2>/dev/null || echo "No existing .mcp.json"
Sentry MCP (if Sentry SDK detected)

Add to .mcp.json (replace {org-slug} and {project-slug} with your Sentry organization and project slugs):

json
{
  "mcpServers": {
    "sentry": {
      "type": "http",
      "url": "https://mcp.sentry.dev/mcp/{org-slug}/{project-slug}"
    }
  }
}
Linear MCP (if Linear usage detected)

Add to .mcp.json:

json
{
  "mcpServers": {
    "linear": {
      "command": "npx",
      "args": ["-y", "@linear/mcp-server"],
      "env": {
        "LINEAR_API_KEY": "${LINEAR_API_KEY}"
      }
    }
  }
}

Note: Never suggest GitHub MCP. Always use gh CLI commands for GitHub.

Output Format

Present your findings as:

  1. Summary Table - What was detected
  2. Recommended settings.json - Complete JSON ready to copy
  3. MCP Suggestions - If applicable
  4. Merge Instructions - If existing settings found

Example output structure:

markdown
## Detected Tech Stack

| Category        | Found          |
| --------------- | -------------- |
| Languages       | Python 3.x     |
| Package Manager | poetry         |
| Frameworks      | Django, Celery |
| Services        | Sentry         |
| Build Tools     | Docker, Make   |

## Recommended .claude/settings.json

\`\`\`json
{
"permissions": {
"allow": [
// ... grouped by category with comments
],
"deny": []
}
}
\`\`\`

## Recommended .mcp.json (if applicable)

If you use Sentry or Linear, add the MCP config to `.mcp.json`...

Important Rules

What to Include

  • Only READ-ONLY commands that cannot modify state
  • Only tools that are actually used by the project (detected via lock files)
  • Standard system commands (ls, cat, find, etc.)
  • The :* suffix allows any arguments to the base command

What to NEVER Include

  • Absolute paths - Never include user-specific paths like /home/user/scripts/foo or /Users/name/bin/bar
  • Custom scripts - Never include project scripts that may have side effects (e.g., ./scripts/deploy.sh)
  • Alternative package managers - If the project uses pnpm, do NOT include npm/yarn commands
  • Commands that modify state - No install, build, run, write, or delete commands

Package Manager Rules

Only include the package manager actually used by the project:

If DetectedIncludeDo NOT Include
pnpm-lock.yamlpnpm commandsnpm, yarn
yarn.lockyarn commandsnpm, pnpm
package-lock.jsonnpm commandsyarn, pnpm
poetry.lockpoetry commandspip (unless also has requirements.txt)
uv.lockuv commandspip, poetry
Pipfile.lockpipenv commandspip, poetry

If multiple lock files exist, include only the commands for each detected manager.

Frequently asked questions

What does the Claude Settings Audit AI skill do?

Analyze a repository to generate recommended Claude Code settings.json permissions. Use when setting up a new project, auditing existing settings, or determining which read-only bash commands to allow. Detects tech stack, build tools, and monorepo structure.

Why use Claude Settings Audit on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/getsentry/skills/tree/main/skills/claude-settings-audit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Claude Settings Audit?

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 Claude Settings Audit?

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

Is the Claude Settings Audit AI skill free?

Yes. It is published on GitHub by getsentry under the Apache-2.0 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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