Low Risk

analyze_skill_code

Analyze skill source code for dangerous patterns. Scans code against Arc Security's pattern database built from real-world ClawHub audit findings. Checks for credential exposure, shell injection, data exfiltration, identity manipulation, and other agent-specific threats. Args: code: The source co...

Part of the Arc Security server.

analyze_skill_code 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 analyze_skill_code to retrieve information from Arc Security 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 analyze_skill_code 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": {
    "analyze_skill_code": {}
  }
}

See the full Arc Security policy for all 14 tools.

Get this rule live on your own Arc Security 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 analyze_skill_code gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so analyze_skill_code 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 analyze_skill_code tool do? +

Analyze skill source code for dangerous patterns. Scans code against Arc Security's pattern database built from real-world ClawHub audit findings. Checks for credential exposure, shell injection, data exfiltration, identity manipulation, and other agent-specific threats. Args: code: The source code content to analyze (paste the full skill code) skill_name: Optional name of the skill being analyzed. It is categorised as a Read tool in the Arc Security MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_skill_code? +

Register the Arc Security MCP server in PolicyLayer and add a rule for analyze_skill_code: 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 Arc Security. Nothing to install.

What risk level is analyze_skill_code? +

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

Can I rate-limit analyze_skill_code? +

Yes. Add a rate_limit block to the analyze_skill_code 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 analyze_skill_code completely? +

Set action: deny in the PolicyLayer policy for analyze_skill_code. 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 analyze_skill_code? +

analyze_skill_code is provided by the Arc Security MCP server (arc-security-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Arc Security tool call.

Deterministic rules across all 14 Arc Security tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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