AI agents use skillsmp_demote to create or update resources in Skillsmp — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Skillsmp environment.
This tool modifies the tier/status of a skill by moving it to a lower tier. This is a reversible state change (a skill could presumably be promoted back), making it a Write operation. Misuse could degrade skill availability or performance, giving it medium severity.
From the tool's definition Manually demote a skill to a lower tier (hot→warm→sandbox)
Attacks that exploit this kind of access
Manually demote a skill to a lower tier (hot→warm→sandbox). It is categorised as a Write tool in the Skillsmp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Skillsmp MCP server in PolicyLayer and add a rule for skillsmp_demote: 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 Skillsmp. Nothing to install.
skillsmp_demote is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the skillsmp_demote 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 skillsmp_demote. 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.
skillsmp_demote is provided by the Skillsmp MCP server (@luckybalabalaya/skillsmp-mcp-server). 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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