Reset all skills to factory defaults. WARNING: This deletes all current skills and re-seeds from TypeScript defaults.
AI agents call reset_skills to permanently remove resources in Code Context — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
An AI agent that decides to call reset_skills doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Code Context is gone — there is no undo for destructive operations.
Attacks that exploit this kind of access
Reset all skills to factory defaults. WARNING: This deletes all current skills and re-seeds from TypeScript defaults. It is categorised as a Destructive tool in the Code Context MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Code Context MCP server in PolicyLayer and add a rule for reset_skills: 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 Code Context. Nothing to install.
reset_skills is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the reset_skills 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 reset_skills. 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.
reset_skills is provided by the Code Context MCP server (velimirmueller/vlm-code-context-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.