ai-coding-agent-guardrails
Protects AI coding agents in teams. Sets limits, protects secrets, and reviews code. Ensures a secure development environment. Useful for teams using AI coding assistants safely.
What it does
This tool helps protect coding teams by setting clear rules on what AI assistants can and cannot do. It prevents them from accessing sensitive information, running dangerous commands, or modifying critical code parts without permission.
When to use it
- ✓When using AI assistants for team coding.
- ✓When you want to prevent the AI from leaking passwords or secret keys.
- ✓To ensure the AI doesn't delete important data or make unauthorized changes.
Example of what to ask your AI
“Configure an AI assistant to not access .env files and not execute deletion commands.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
You set rules in configuration files that tell the AI which files it can read/modify, which commands it can run, and what sensitive information to ignore. This creates a safe working environment.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill ai-coding-agent-guardrailsOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/ai-coding-agent-guardrails/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
AI Coding Agent Guardrails
Secure the use of AI coding agents across engineering teams. This skill covers permission boundaries, secret protection, sandbox isolation, code review gates, and audit trails for Claude Code, Cursor, Copilot, and Codex.
Permission Boundaries
CLAUDE.md Configuration
Create a CLAUDE.md at the repository root to restrict Claude Code behavior:
# CLAUDE.md
## Restrictions
- NEVER read or output contents of .env, .env.*, secrets.yaml, or any file matching *.pem, *.key
- NEVER execute `rm -rf`, `DROP TABLE`, `kubectl delete`, or `terraform destroy` commands
- NEVER push directly to main or master branches
- NEVER modify files in the infrastructure/, terraform/, or .github/workflows/ directories without explicit user approval
- NEVER install new dependencies without listing them first for review
- NEVER access or display API keys, tokens, passwords, or connection strings
## Allowed Operations
- Read and modify application source code in src/, lib/, and tests/
- Run test suites with `npm test`, `pytest`, `go test`
- Run linters with `eslint`, `ruff`, `golangci-lint`
- Create new branches with prefix `ai/` or `agent/`
- Create and modify files in docs/ directory
## Code Standards
- All new functions must include docstrings or JSDoc comments
- All new code must have corresponding unit tests
- Follow existing code style and patterns in the repository
- Maximum file length: 500 lines. Suggest splitting if exceeded.
Command Allowlists
For agents that execute shell commands, define an explicit allowlist:
# .agent-permissions.yaml
agent_permissions:
allowed_commands:
- "npm test"
- "npm run lint"
- "npm run build"
- "pytest"
- "ruff check"
- "go test ./..."
- "git status"
- "git diff"
- "git log"
- "git checkout -b"
- "git add"
- "git commit"
- "ls"
- "cat"
- "head"
- "tail"
blocked_commands:
- "rm -rf"
- "curl"
- "wget"
- "ssh"
- "scp"
- "kubectl"
- "terraform"
- "aws"
- "gcloud"
- "az"
- "docker push"
- "npm publish"
blocked_paths:
- ".env*"
- "**/*.pem"
- "**/*.key"
- "**/secrets/**"
- "infrastructure/**"
- ".github/workflows/**"
allowed_paths:
- "src/**"
- "lib/**"
- "tests/**"
- "docs/**"
- "package.json"
- "pyproject.toml"
File System Access Controls
Use filesystem permissions to enforce boundaries at the OS level:
#!/bin/bash
# setup-agent-workspace.sh
# Create a restricted workspace for agent execution
AGENT_USER="ai-agent"
REPO_DIR="/workspace/repo"
# Create agent user with limited permissions
useradd --system --shell /bin/bash --no-create-home "$AGENT_USER"
# Set ownership: developers own everything, agent gets read on most
chown -R root:developers "$REPO_DIR"
chmod -R 750 "$REPO_DIR"
# Grant agent write access only to safe directories
setfacl -R -m u:${AGENT_USER}:rwx "${REPO_DIR}/src"
setfacl -R -m u:${AGENT_USER}:rwx "${REPO_DIR}/tests"
setfacl -R -m u:${AGENT_USER}:rwx "${REPO_DIR}/docs"
# Deny agent access to sensitive files
setfacl -m u:${AGENT_USER}:--- "${REPO_DIR}/.env"
setfacl -R -m u:${AGENT_USER}:--- "${REPO_DIR}/infrastructure"
setfacl -R -m u:${AGENT_USER}:--- "${REPO_DIR}/.github/workflows"
echo "Agent workspace permissions configured."
Secret Protection
Pre-commit Hooks with git-secrets
#!/bin/bash
# install-secret-scanning.sh
# Install git-secrets
git clone https://github.com/awslabs/git-secrets.git /tmp/git-secrets
cd /tmp/git-secrets && make install
# Initialize in repository
cd /path/to/repo
git secrets --install
# Register common secret patterns
git secrets --register-aws
# Add custom patterns for common credential formats
git secrets --add '-----BEGIN (RSA |EC |DSA )?PRIVATE KEY-----'
git secrets --add 'AKIA[0-9A-Z]{16}'
git secrets --add 'ghp_[a-zA-Z0-9]{36}'
git secrets --add 'sk-[a-zA-Z0-9]{48}'
git secrets --add 'xox[baprs]-[0-9a-zA-Z-]{10,}'
git secrets --add 'password\s*[:=]\s*["\x27][^\s]{8,}'
git secrets --add 'api[_-]?key\s*[:=]\s*["\x27][^\s]{8,}'
# Add allowed patterns (false positive exclusions)
git secrets --add --allowed 'EXAMPLE_KEY'
git secrets --add --allowed 'your-api-key-here'
Agent Output Scanning
Scan agent-generated output before it reaches version control:
#!/usr/bin/env python3
"""scan_agent_output.py - Scan AI agent output for leaked secrets."""
…
FAQ
What are 'permission boundaries'?
These are defined limits to restrict the actions an AI assistant can perform, such as accessing certain files or executing specific commands.
How is the AI prevented from accessing secrets?
Through rules that instruct the AI to never read or display passwords, API keys, or other sensitive data, and also through tools that scan code before it's saved.
Can I allow the AI to modify any file?
No, you can specify exactly which folders and files the AI has permission to change, like the main source code or documentation, while restricting access to sensitive areas.
Details
Original description by the author
Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2087
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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