技能检索
arbiter
Push decisions to Arbiter Zebu for async human review. Use when you need human input on plans, architectural choices, or approval before proceeding.
percept-listen
Ambient audio capture and transcription for OpenClaw agents via wearable devices.
context-clean-up
Use when: prompt context is bloating (slow replies, rising cost, noisy transcripts) and you want a ranked offender list + reversible plan. Don't use when: you want automatic deletions or unattended config edits. Output: an audit-only report (top offenders + 3-8 lowest-risk fixes + rollback notes). No changes are applied automatically.
agentgate-security
AgentGate is a real-time policy enforcement layer that intercepts every tool call your OpenClaw agent makes before it executes. It evaluates the call against human-defined regex-based rules stored in Firestore and returns one of three decisions: ALLOW, DENY, or REQUIRE_APPROVAL.
tour-booking
Sub-agent for outbound listing-office calls to request and confirm property showing slots using a provided call script and structured payloads. Use when a parent workflow needs call execution for one or more listings, including dry-run payload generation, live ElevenLabs call requests, and parsing call outcomes into booking statuses.
agent-audit
Audit your AI agent setup for performance, cost, and ROI. Scans OpenClaw config, cron jobs, session history, and model usage to find waste and recommend optimizations. Works with any model provider (Anthropic, OpenAI, Google, xAI, etc.). Use when: (1) user says "audit my agents", "optimize my costs", "am I overspending on AI", "check my model usage", "agent audit", "cost optimization", (2) user wants to know which cron jobs are expensive vs cheap, (3) user wants model-task fit recommendations, (4) user wants ROI analysis of their agent setup, (5) user says "where am I wasting tokens".
skulk-skill-scanner
Scan OpenClaw skill folders for security red flags before installing or publishing. Detects data exfiltration, credential theft, prompt injection, destructive commands, obfuscation, privilege escalation, and supply chain risks. Use when: evaluating a skill from ClawHub before install, auditing your own skills before publishing, or reviewing any SKILL.md for safety. NOT for: general code review or vulnerability scanning of non-skill codebases.
apoer-agent-guardrail
Pre-action authorization for AI agents. Verifies permissions before every tool runs (shell, messaging, git, MCP, data export). Works with OpenClaw, IronClaw, PicoClaw. APort policy engine allows or denies each tool call deterministically; agent cannot skip it.
ai-collab
Multi-agent autonomous collaboration system for two OpenClaw agents working in parallel. Use when setting up agent-to-agent communication, running a daemon agent alongside a primary agent, coordinating tasks between Claude and GPT instances, or establishing a shared chat log and inbox protocol. Triggers on: 'set up agent collaboration', 'run two agents', 'agent daemon', 'multi-agent', 'Jim and Clawdy', 'secondary agent', 'agent handoff'.