Browse skills

Monitor and diagnose OpenClaw agent health, session status, tool availability, and system resources. Essential for debugging and monitoring.

Deep multi-source analysis of GitHub projects. Covers architecture, community health, competitive landscape, and cross-platform knowledge. Outputs structured research reports.

Full website SEO audit with parallel subagent delegation. Crawls up to 500 pages, detects business type, delegates to 6 specialists, generates health score.

Local DNA analysis with 1600+ markers across 30 categories. Privacy-first genetic analysis including population comparison and ancient DNA signal detection. All analysis runs locally.

Voice-note-to-knowledge-base pipeline. Send voice notes to Telegram → AI organizes them into a structured knowledge base with tasks in Todoist and daily reports. Features Ebbinghaus spaced-repetition decay, vault health scoring, and knowledge graph. Runs on OpenClaw.

Preflight security scanner for AI coding agents — scans deployment config, skills/MCP servers, memory/sessions, and AI agent config files (hooks injection) for secrets, PII, prompt injection, and dangerous patterns. Runs 4 model behavior probes (persuasion, sandbagging, deception, hallucination). Supports LLM-enhanced semantic analysis. Works with OpenClaw, Claude Code, Cursor, and Codex. Use when a user asks for a security audit, health check, or wants to scan their AI agent setup for vulnerabilities.

A deterministic workspace gatekeeper that decomposes complex codebase changes into isolated, test-verified, atomic Git commits while rigorously enforcing architectural cohesion and SOLID invariants. Invoke when managing codebase health, tracking multi-file git diffs, running tests, or generating atomic commits.