invoke_openclaw_skill
Run an OpenClaw tool safely through security checks.
This record as markdown: /tools/io-github-homenshum-nodebench/invoke-openclaw-skill.md
What invoke_openclaw_skill does on Nodebench
AI agents invoke invoke_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 invoke_openclaw_skill is rated High
This tool executes arbitrary OpenClaw skills, which are external operations. While security checks are present, execution of dynamic tools with argument-dependent side effects falls under Execute rather than Read or Write. The high severity reflects that misuse could trigger unintended external operations across the OpenClaw ecosystem.
From the tool's definition 'Run an OpenClaw tool' indicates execution of external tools/operations. 'through security checks' suggests sandboxing but does not eliminate the Execute category—the tool's core function is to trigger operations whose effects depend on which OpenClaw tool is…
Attacks that exploit this kind of access
The rule that runs invoke_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 invoke_openclaw_skill, this is the rule to start with:
invoke_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 invoke_openclaw_skill call is checked against it from then on.
Questions about invoke_openclaw_skill
Run an OpenClaw tool 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 invoke_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.
invoke_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 invoke_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 invoke_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.
invoke_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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