Low Risk

get_skill

Get comprehensive details for a specific skill by its slug. Returns a JSON object with name, description, type, quality_score, stars, security_score, safety manifest (risk_level, data_access, network_access, filesystem_access, env_vars_required), install configs for all 12 supported platforms, an...

Part of the Loaditout server.

get_skill is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call get_skill to retrieve information from Loaditout without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though get_skill only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_skill": {}
  }
}

See the full Loaditout policy for all 21 tools.

Get this rule live on your own Loaditout server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access get_skill gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_skill only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the get_skill tool do? +

Get comprehensive details for a specific skill by its slug. Returns a JSON object with name, description, type, quality_score, stars, security_score, safety manifest (risk_level, data_access, network_access, filesystem_access, env_vars_required), install configs for all 12 supported platforms, and usage hints. Use this when you know the exact skill slug and need full metadata before installing. Do not use this for discovery (use search_skills or recommend_skills instead).. It is categorised as a Read tool in the Loaditout MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_skill? +

Register the Loaditout MCP server in PolicyLayer and add a rule for get_skill: 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.

What risk level is get_skill? +

get_skill is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_skill? +

Yes. Add a rate_limit block to the get_skill 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.

How do I block get_skill completely? +

Set action: deny in the PolicyLayer policy for get_skill. 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.

What MCP server provides get_skill? +

get_skill 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.

Enforce policy on every Loaditout tool call.

Deterministic rules across all 21 Loaditout tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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