Can I customize which files are protected?

Yes, the skill relies on your project's .agentignore file, allowing you to define exactly which paths should be off-limits to the AI.

What is the Safety Validation skill?

It is a specialized capability for Claude Code that prevents the AI from modifying files or directories listed in your .agentignore file.

Where can I see the history of these safety checks?

All validation attempts, whether successful or blocked, are automatically recorded in an ACTION_LOG.md file within your repository.

How does the skill handle unauthorized changes?

If the agent attempts to modify a protected path, the skill immediately stops the operation to ensure the integrity of your 'forbidden zones'.

Safety Validation

Name: Safety Validation
Author: CheekyCodexConjurer

byCheekyCodexConjurer

보안 및 테스팅

Validates file modifications against .agentignore rules to prevent unauthorized changes to sensitive project zones.

소개

The Safety Validation skill provides a critical layer of protection for your codebase by ensuring AI agents adhere to defined boundaries. It automatically cross-references all modified paths against a .agentignore file before allowing a commit to proceed. If the skill detects that a restricted 'forbidden zone' has been touched, it immediately halts the process, protecting sensitive configurations and core logic. Additionally, it maintains a transparent audit trail by recording every validation attempt and outcome in an ACTION_LOG.md file, making it ideal for high-stakes environments like quantitative research and financial modeling.

주요 기능

Detailed auditing via ACTION_LOG.md integration
Configurable 'forbidden zone' enforcement
Real-time blocking of unauthorized path modifications
0 GitHub stars
Automated .agentignore compliance verification
Pre-commit safety checks for AI-driven workflows

사용 사례

Preventing AI agents from accidentally modifying sensitive environment variables or API keys
Maintaining a compliance-ready log of all AI-initiated file modifications and safety checks
Enforcing strict boundaries in complex research workstations to protect core algorithms

소개

주요 기능

Detailed auditing via ACTION_LOG.md integration
Configurable 'forbidden zone' enforcement
Real-time blocking of unauthorized path modifications
0 GitHub stars
Automated .agentignore compliance verification
Pre-commit safety checks for AI-driven workflows

사용 사례

Preventing AI agents from accidentally modifying sensitive environment variables or API keys
Maintaining a compliance-ready log of all AI-initiated file modifications and safety checks
Enforcing strict boundaries in complex research workstations to protect core algorithms