프로젝트의 빌드/테스트/린트를 한 번에 실행하고 결과를 반환합니다.
AI agents invoke run_verification to trigger actions in Claude Session Continuity. 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 executes build processes, test suites, and linting operations—external operations whose effects depend on the project state and configuration. While not destructive by itself, executing build/test/lint commands can have side effects (file generation, temporary artifacts, resource consumption, and potential compilation/runtime errors).
From the tool's definition Tool description states '프로젝트의 빌드/테스트/린트를 한 번에 실행하고 결과를 반환합니다' which translates to 'runs project build/test/lint all at once and returns results'.
Attacks that exploit this kind of access
프로젝트의 빌드/테스트/린트를 한 번에 실행하고 결과를 반환합니다. It is categorised as a Execute tool in the Claude Session Continuity MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Claude Session Continuity MCP server in PolicyLayer and add a rule for run_verification: 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 Claude Session Continuity. Nothing to install.
run_verification 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 run_verification 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 run_verification. 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.
run_verification is provided by the Claude Session Continuity MCP server (leesgit/claude-session-continuity-mcp). 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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