gitleaks
Runs Gitleaks to detect hardcoded secrets in git repositories. Returns structured finding data with redacted secrets.
This record as markdown: /tools/io-github-dave-london-cargo/gitleaks.md
What gitleaks does on Cargo
AI agents invoke gitleaks to trigger actions in Cargo. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why gitleaks is rated High
This tool executes an external program (Gitleaks) to scan git repositories. It is an Execute category action since it runs a command/tool whose effects depend on the target repository argument.
From the tool's definition 'Runs Gitleaks' — actively executes an external security scanning tool against git repositories
Attacks that exploit this kind of access
The rule that runs gitleaks safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Cargo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For gitleaks, this is the rule to start with:
gitleaks stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Cargo, apply this rule, and every gitleaks call is checked against it from then on.
Questions about gitleaks
Runs Gitleaks to detect hardcoded secrets in git repositories. Returns structured finding data with redacted secrets. It is categorised as a Execute tool in the Cargo MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Cargo MCP server in PolicyLayer and add a rule for gitleaks: 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 Cargo. Nothing to install.
gitleaks is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the gitleaks 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.
Set action: deny in the PolicyLayer policy for gitleaks. 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.
gitleaks is provided by the Cargo MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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