This record as markdown: /tools/io-github-dave-london-npm/oxlint.md
What oxlint does on Npm
AI agents invoke oxlint to trigger actions in Npm. 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 oxlint is rated High
The tool executes an external linting process (Oxlint) against code. 'Runs' clearly indicates execution of an external tool/command. While it is read-only in terms of data modification (linting doesn't change files), it executes an external process whose behavior depends on arguments, placing it in the Execute category. Medium severity since it only runs a linter and doesn't modify files.
From the tool's definition Runs Oxlint and returns structured diagnostics
Attacks that exploit this kind of access
The rule that runs oxlint safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Npm, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For oxlint, this is the rule to start with:
oxlint 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 Npm, apply this rule, and every oxlint call is checked against it from then on.
Questions about oxlint
Runs Oxlint and returns structured diagnostics (file, line, column, rule, severity, message). It is categorised as a Execute tool in the Npm MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Npm MCP server in PolicyLayer and add a rule for oxlint: 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 Npm. Nothing to install.
oxlint 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 oxlint 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 oxlint. 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.
oxlint is provided by the Npm MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Npm, and thousands of servers like it.
This server
Across the catalogue