This record as markdown: /tools/yuga-hashimoto-localant/skill-validate.md
What skill_validate does on LocalAnt
AI agents call skill_validate to retrieve information from LocalAnt without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why skill_validate is rated Low
Validation typically involves checking or verifying data without modifying it, which aligns with a Read category. However, the description is extremely sparse and uninformative, so confidence is low. In some contexts, validation could trigger side effects or execute code, but the most natural interpretation is a read/check operation. Severity is low assuming it only reads and verifies skill definitions.
From the tool's definition Tool name: 'skill_validate', description: 'Validate a skill'
Attacks that exploit this kind of access
The rule that runs skill_validate safely
PolicyLayer is an MCP gateway: it sits between your AI agents and LocalAnt, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For skill_validate, this is the rule to start with:
skill_validate is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect LocalAnt, apply this rule, and every skill_validate call is checked against it from then on.
Questions about skill_validate
Validate a skill. It is categorised as a Read tool in the LocalAnt MCP Server, which means it retrieves data without modifying state.
Register the LocalAnt MCP server in PolicyLayer and add a rule for skill_validate: 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 LocalAnt. Nothing to install.
skill_validate is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the skill_validate 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 skill_validate. 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.
skill_validate is provided by the LocalAnt MCP server (yuga-hashimoto/localant). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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