call_openclaw_skill
Run an OpenClaw skill safely through security checks.
This record as markdown: /tools/io-github-homenshum-nodebench/call-openclaw-skill.md
What call_openclaw_skill does on Nodebench
AI agents invoke call_openclaw_skill to trigger actions in Nodebench. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why call_openclaw_skill is rated High
The tool's core purpose is to execute external operations (OpenClaw skills). While security checks are mentioned, this does not change the fundamental category—it still runs code/commands whose effects depend on which skill is invoked. This is Execute rather than Write because skills typically trigger operations with side effects beyond simple data modification.
From the tool's definition Tool description states 'Run an OpenClaw skill' which indicates execution of code or operations. The phrase 'safely through security checks' suggests the tool executes arbitrary skills with built-in guardrails, but execution remains the primary function.
Attacks that exploit this kind of access
The rule that runs call_openclaw_skill safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For call_openclaw_skill, this is the rule to start with:
call_openclaw_skill stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every call_openclaw_skill call is checked against it from then on.
Questions about call_openclaw_skill
Run an OpenClaw skill safely through security checks. It is categorised as a Execute tool in the Nodebench MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Nodebench MCP server in PolicyLayer and add a rule for call_openclaw_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 Nodebench. Nothing to install.
call_openclaw_skill is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the call_openclaw_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.
Set action: deny in the PolicyLayer policy for call_openclaw_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.
call_openclaw_skill is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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