技能检索
valence-memory
Persistent knowledge substrate for OpenClaw. Replaces flat-file memory with confidence-scored beliefs, semantic search, pattern recognition, and federated knowledge sharing.
undersheet
Persistent thread memory for OpenClaw agents across any platform — Moltbook, Hacker News, Reddit, Discord, Twitter. Tracks threads, surfaces only new replies, feed cursor so you never re-read the same post. Zero dependencies, pure Python stdlib. Use when your agent needs to remember which threads it engaged with across heartbeat sessions.
rugcheck
Analyze Solana tokens for rug pull risks using the RugCheck API (rugcheck.xyz). Use when asked to check a Solana token safety, risk score, liquidity, holder distribution, metadata mutability, or insider trading patterns. Also use for discovering trending, new, or recently verified Solana tokens. Triggers on token check, rug check, token safety, Solana token analysis, is this token safe, token risk score, LP locked, holder concentration.
receipt-subscription-cleaner
Identify recurring charges and subscriptions from receipts or email exports, and produce a clean summary with renewal dates, price changes, and cancellation drafts. Use when a user wants to audit spending without initiating payments or cancellations.
model-matrix
Weighted model-routing matrix for OpenClaw (cost-aware, policy-aware, daily scorecard template).
wow
Look up World of Warcraft characters — M+ scores, best runs, raid progression, gear, and more. Uses Raider.io (free), with optional Blizzard API and Warcraft Logs integration for armory data and raid parses.
lygo-universal-living-memory-library
Universal LYGO Living Memory Library upgrade. Provides a strict, low-noise memory index (max 20 files), fragile tagging, and audit/compression workflows so Champions can retain continuity and verify integrity via LYGO-MINT. Pure advisor; not a controller.
skillnet
Search, download, create, evaluate, and analyze reusable agent skills via SkillNet. Use when: (1) Before any multi-step task — search SkillNet for existing skills first (mandatory), (2) After completing a task with non-obvious solutions — create a skill to preserve learnings, (3) User says "learn this repo/document", "turn this into a skill", "find a skill for X", (4) User provides a PDF, DOCX, PPT, or document — create a skill from it, (5) User provides execution data, logs, or trajectory — create a skill from it, (6) Any mention of 'skillnet', skill search, skill download, or skill evaluation, (7) Analyzing relationships or cleaning up a local skill library. NOT for: single trivial operations (rename variable, fix typo).
brain-cms
Continuum Memory System (CMS) for OpenClaw agents. Replaces flat MEMORY.md with a brain-inspired multi-layer memory architecture — semantic schemas, a hippocampal router (INDEX.md), vector store (LanceDB + nomic-embed-text), and automated NREM/REM sleep cycles for consolidation. Based on neuroscience research (LTP, spreading activation, CMS theory). Use when setting up persistent agent memory, improving context efficiency, or reducing token cost on long-running agents. Triggers: brain, memory system, CMS, long-term memory, vector store, sleep cycle, NREM, REM, memory architecture, semantic memory, context efficiency.