openclaw_run_skill
${DEPRECATED} Run an OpenClaw skill.
This record as markdown: /tools/yuga-hashimoto-localant/openclaw-run-skill.md
What openclaw_run_skill does on LocalAnt
AI agents invoke openclaw_run_skill to trigger actions in LocalAnt. 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 openclaw_run_skill is rated High
Running a skill (particularly in a system that controls PC operations, shell commands, and browser automation) is an Execute action—it triggers external operations whose effects depend on the skill argument provided. The high severity reflects that skill execution on a local machine could have wide-ranging side effects (file modification, system changes, network access).
From the tool's definition Tool name 'openclaw_run_skill' with verb 'run' indicates execution of arbitrary skills. Server context (LocalAnt) permits shell commands, browser automation, and coding agents.
Attacks that exploit this kind of access
The rule that runs openclaw_run_skill 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 openclaw_run_skill, this is the rule to start with:
openclaw_run_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 LocalAnt, apply this rule, and every openclaw_run_skill call is checked against it from then on.
Questions about openclaw_run_skill
${DEPRECATED} Run an OpenClaw skill. It is categorised as a Execute tool in the LocalAnt MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the LocalAnt MCP server in PolicyLayer and add a rule for openclaw_run_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 LocalAnt. Nothing to install.
openclaw_run_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 openclaw_run_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 openclaw_run_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.
openclaw_run_skill 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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