AI agents invoke security_fix_pr to trigger actions in Git Steer. 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.
This tool triggers a GitHub Actions workflow execution that modifies repository code to fix security vulnerabilities. It runs arbitrary cloud compute processes and creates changes in the repository (likely PRs), spanning Execute and Write categories. Execute is the highest applicable category since it dispatches a workflow whose effects depend on arguments and runs code in cloud infrastructure.
From the tool's definition Dispatch a GitHub Actions workflow to fix security vulnerabilities (no local code needed - runs in ephemeral cloud compute)
Attacks that exploit this kind of access
Dispatch a GitHub Actions workflow to fix security vulnerabilities (no local code needed - runs in ephemeral cloud compute). It is categorised as a Execute tool in the Git Steer MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Git Steer MCP server in PolicyLayer and add a rule for security_fix_pr: 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 Git Steer. Nothing to install.
security_fix_pr 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 security_fix_pr 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 security_fix_pr. 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.
security_fix_pr is provided by the Git Steer MCP server (ry-ops/git-steer). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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