Runs pip-audit and returns a structured vulnerability report.
AI agents invoke pip-audit to trigger actions in Lint. 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.
The tool runs an external command (pip-audit) to scan for vulnerabilities and returns results. This is an Execute-category action as it triggers an external operation. Severity is medium because while it is read-like in intent (auditing/reporting), it executes an external process whose behavior depends on the environment and could have side effects or expose sensitive dependency information.
From the tool's definition 'Runs pip-audit' — explicitly executes an external tool/process
Documented attack patterns abuse exactly the kind of access pip-audit gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Lint, and nothing reaches the server without passing your rules. This is the rule we recommend for pip-audit:
{
"version": "1",
"default": "deny",
"tools": {
"pip-audit": {
"limits": [
{
"counter": "pip-audit_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}pip-audit 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.
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Runs pip-audit and returns a structured vulnerability report. It is categorised as a Execute tool in the Lint MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Lint 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 Lint. Nothing to install.
pip-audit 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 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 Lint MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Lint, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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202 Lint tools catalogued and risk-classified — across an index of 43,000+ MCP servers.