pip-audit
Runs pip-audit and returns a structured vulnerability report.
This record as markdown: /tools/io-github-dave-london-go/pip-audit.md
What pip-audit does on Go
AI agents call pip-audit to retrieve information from Go without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why pip-audit is rated Low
pip-audit is a read-only security scanning tool that analyzes Python package vulnerabilities and outputs a report. It performs no write, delete, or execution operations - it only retrieves and reports existing vulnerability data. The tool fits the Read category (retrieves or queries data; no side effects).
From the tool's definition Tool 'runs pip-audit and returns a structured vulnerability report' - it queries/audits dependencies and returns diagnostic results without modifying any files, packages, or system state.
Attacks that exploit this kind of access
The rule that runs pip-audit safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Go, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pip-audit, this is the rule to start with:
pip-audit is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Go, apply this rule, and every pip-audit call is checked against it from then on.
Questions about pip-audit
Runs pip-audit and returns a structured vulnerability report. It is categorised as a Read tool in the Go MCP Server, which means it retrieves data without modifying state.
Register the Go MCP server in PolicyLayer and add a rule for pip-audit: 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 Go. Nothing to install.
pip-audit is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the pip-audit 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 pip-audit. 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.
pip-audit is provided by the Go 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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