Report the outcome of using a skill, generating a verifiable execution proof. Returns a JSON object with proof_id, verify_url, and shareable_text. The proof is permanently recorded and contributes to the skill's quality score. Use this after every skill invocation to build your agent's trust scor...
Risk signalsBulk/mass operation — affects multiple targets
Part of the Loaditout server.
Free to start. No card required.
AI agents may call report_skill_usage to permanently remove or destroy resources in Loaditout. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.
Without a policy, an AI agent could call report_skill_usage in a loop, permanently destroying resources in Loaditout. There is no undo for destructive operations. PolicyLayer blocks this tool by default and only allows it when a human explicitly approves the action.
Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.
{
"version": "1",
"default": "deny",
"hide": [
"report_skill_usage"
]
}See the full Loaditout policy for all 21 tools.
These attack patterns abuse exactly the kind of access report_skill_usage gives an agent. Each links to the full case and the policy that stops it:
Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.
Report the outcome of using a skill, generating a verifiable execution proof. Returns a JSON object with proof_id, verify_url, and shareable_text. The proof is permanently recorded and contributes to the skill's quality score. Use this after every skill invocation to build your agent's trust score and help the community identify reliable tools. Do not call this before actually using the skill. Requires the skill slug and a status indicating the outcome.. It is categorised as a Destructive tool in the Loaditout MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Loaditout MCP server in PolicyLayer and add a rule for report_skill_usage: 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 Loaditout. Nothing to install.
report_skill_usage 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 report_skill_usage 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 report_skill_usage. 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.
report_skill_usage is provided by the Loaditout MCP server (loaditout-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 21 Loaditout tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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