AI agents invoke git_steer_actions_trigger 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.
Triggering a GitHub Actions workflow is an Execute action because it runs code whose side effects depend on what the workflow is configured to do. The blast radius is high: a malicious agent could trigger workflows that deploy to production, exfiltrate secrets, modify repositories, or compromise dependent systems.
From the tool's definition 'Trigger a GitHub Actions workflow dispatch event' — this dispatches and executes GitHub Actions workflows, which can run arbitrary code, deploy infrastructure, publish artifacts, or invoke external systems based on the workflow definition.
Attacks that exploit this kind of access
Trigger a GitHub Actions workflow dispatch event. 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 git_steer_actions_trigger: 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.
git_steer_actions_trigger 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 git_steer_actions_trigger 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 git_steer_actions_trigger. 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.
git_steer_actions_trigger 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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