Browse the trust index

Design, test, review, and maintain agent skills for OpenClaw systems using multi-agent iterative refinement. Orchestrates Designer, Reviewer, and Tester subagents for quality-gated skill development. Use when user asks to "design skill", "review skill", "test skill", "audit skills", "refactor skill", or mentions "agent kit quality".

Forensic media triage with chain of custody. Use when receiving images, videos, audio, PDFs, or documents that need evidence-grade handling, integrity verification, and audit trails.

Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: (1) create a new skill, (2) make a skill, (3) build a skill, (4) set up a skill, (5) initialize a skill, (6) scaffold a skill, (7) update or modify an existing skill, (8) validate a skill, (9) learn about skill structure, (10) understand how skills work, or (11) get guidance on skill design patterns. Trigger on phrases like \"create a skill\", \"new skill\", \"make a skill\", \"skill for X\", \"how do I create a skill\", or \"help me build a skill\".

Set up a complete multi-brand social media management team on OpenClaw. Scaffolds 5 specialized agents (Leader, Creator, Worker, Researcher, Engineer) + on-demand Reviewer in a star topology with persistent A2A sessions, 3-layer memory system, shared knowledge base, approval workflows, and brand isolation. Use when setting up a new social media operations team, adding the multi-agent framework to an existing OpenClaw instance, or when the user mentions social media management, multi-brand operations, or content team setup.

Generate images **and videos** using Sogni AI's decentralized network, with local credential/config files and optional local media inputs. Ask the agent to "draw", "generate", "create an image", or "make a video/animate" from a prompt or reference image.

|

Intelligent memory management system v3.4 - OpenClaw 2026.3.7 Pluggable Context Engine integration, Semantic Cache Layer, Dynamic Context Window, Multi-Context Collaboration, 10x faster search, 40% token savings.

Enables the agent to manage its own identity (DID) and generate cryptographic proofs for B2B and B2C trust.

Complete Spec-Driven Development (SDD) orchestrator for OpenClaw. Initializes SpecKit and manages the full engineering lifecycle.

This skill provides a secure, step-by-step task management system for AI Agents.

Smart Telegram reply workflow for OpenClaw: if the user sends text, reply with text; if the user sends a voice note/audio, transcribe locally using the installed mlx_audio (default Qwen3-ASR on Apple Silicon), then generate a meaningful reply in the same language. Send back a Telegram voice note with a caption so the user receives ONE message containing both voice+text (the caption text must match the voice content exactly). Follow the input language (Chinese→Chinese, English→English) unless the user explicitly requests a different language.

Resolve Telegram <media:image>, <media:document>, <media:video> and other media placeholders into actual files for vision/analysis. Use when a Telegram message contains a media placeholder (e.g. <media:image>) that you cannot see — typically in quoted/replied-to messages or group chat history. Downloads the media via Telegram Bot API and returns a local file path for the image tool or further processing.

Monitor OpenClaw token/quota usage and alert when any quota drops below a threshold (default 20%). Uses `openclaw models status` and writes only a local state file to avoid duplicate alerts. **Does not handle secrets.** **Token cost:** Script itself: 0 tokens (pure bash). Heartbeat integration: ~1k-2k tokens/hour (reading HEARTBEAT.md + executing script). Alert delivery: ~500-1k tokens/alert. **Optimization:** Use system cron instead of heartbeat to reduce to ~0 tokens (except alerts).

**Track, analyze, and optimize token usage and costs across AI providers. Set budgets, get alerts, compare models, and reduce your spend.**

Token optimization system for OpenClaw reducing costs 50-80%

Autonomous vault-based prediction market bot for Torch Market on Solana. Creates binary prediction markets as Torch tokens — the bonding curve provides price discovery, the treasury accumulates value from trading fees, and the vault manages positions. Each market has an oracle (price feed or manual) and resolves at a deadline. The agent keypair is generated in-process -- disposable, holds nothing of value. All SOL routes through the vault. The human principal creates the vault, funds it, links the agent, and retains full control. Built on torchsdk v3.7.23 and the Torch Market protocol.

Search and download licensed music from Trackyard's AI-powered catalog. Use for finding background music for videos, social content, podcasts, or any project needing royalty-free tracks. Supports natural language search ("upbeat electronic for tech video"), smart audio trimming to exact durations with hit-point alignment, and filtering by genre, mood, BPM, vocals, energy, and instruments.

Cookie-based Twitter/X automation toolkit (timeline, notifications, posting, follow ops) for OpenClaw agents.

Automate Twitter/X posting, engagement, and growth for OpenClaw AI agents. Use when setting up an agent's Twitter presence, posting tweets, running engagement crons, managing drafts, following accounts, or building a Twitter growth strategy. Handles OAuth setup, thread splitting, draft workflows, and engagement automation.

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.

Require fresh verification evidence before claiming work is complete. Use ALWAYS before any completion claim, commit, push, PR, or status report. Prevents false completion claims.

Generate executable Hyperliquid trading strategy code from natural language prompts. Use when a user wants to create automated trading strategies for Hyperliquid exchange based on their trading ideas, technical indicators, or VibeTrading signals. The skill generates complete Python code with proper error handling, logging, and configuration using actual Hyperliquid API wrappers.

Real-time voice assistant for OpenClaw. Streams mic audio through configurable STT (Deepgram or ElevenLabs) into your OpenClaw agent, then speaks the response via configurable TTS (Deepgram Aura or ElevenLabs). Sub-2s time-to-first-audio with full streaming at every stage.

Turn scripts into publishable voiceovers with Voice.ai TTS, including segments, chapters, captions, and video muxing.