audit_secrets

Deep-scans the entire commit history for leaked API keys, passwords, and .env files using TruffleHog.

Server GitHub Auditor MCP Server westkevin12/repo-mcp
Category Read
Risk class Low
Parameters 00 required

What audit_secrets does on GitHub Auditor MCP Server

AI agents call audit_secrets to retrieve information from GitHub Auditor MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why audit_secrets needs a policy

This tool performs a read-only scan/audit of the repository's commit history to detect secrets. It does not modify, delete, or execute anything — it retrieves and reports findings. However, severity is medium because it accesses highly sensitive data (API keys, passwords, .env files) across the entire commit history, meaning a misuse or exfiltration of results could cause significant harm.

From the tool's definition Deep-scans the entire commit history for leaked API keys, passwords, and .env files using TruffleHog

Risk signalsBulk/mass operation — affects multiple targets

Questions about audit_secrets

What does the audit_secrets tool do? +

Deep-scans the entire commit history for leaked API keys, passwords, and .env files using TruffleHog. It is categorised as a Read tool in the GitHub Auditor MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on audit_secrets? +

Register the GitHub Auditor MCP Server MCP server in PolicyLayer and add a rule for audit_secrets: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches GitHub Auditor MCP Server. Nothing to install.

What risk level is audit_secrets? +

audit_secrets is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit audit_secrets? +

Yes. Add a rate_limit block to the audit_secrets rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block audit_secrets completely? +

Set action: deny in the PolicyLayer policy for audit_secrets. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides audit_secrets? +

audit_secrets is provided by the GitHub Auditor MCP Server MCP server (westkevin12/repo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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