Browse the trust index
Search by skill, publisher, category, or trust summary — then use the runtime filters to find cards with live test evidence. The two main lanes are baseline safety checks first and deeper follow-on functionality checks after that.
✨ Quick picks
🏷 Categories · coding-agents-and-ides
🧾 Evidence level: source-scanned means local source evidence; catalog-only means thinner metadata-first coverage.
🧪 Runtime status: cards can show only the baseline safety lane or the deeper follow-on functionality lane, depending on how far the skill got. Some cards now also surface how the skill behaved when clearly fake credentials were present.
📏 Depth cue: tells you whether the evidence stops at baseline checks, includes follow-on functionality checks, or includes richer fixture/example proof.
⏱ Freshness cue: tells you whether the latest runtime evidence is from the last 24 hours, the last 7 days, or is older and therefore less current.
🩺 Failure confidence: distinguishes a first seen failure from a repeated failure or a regression after an earlier pass, so not every red row means the same thing.
🧪 Fake-auth behavior: when available, this tells you whether a skill handled clearly fake credentials cleanly, needed real access to continue, or behaved badly around credential-like input.
Results
nodejs-project-arch
Node.js project architecture standards for AI-assisted development. Enforces file splitting (<400 lines), config externalization, route modularization, and admin dashboards. Use when creating new Node.js projects, refactoring large single-file codebases, or when AI context window is being consumed by oversized files. Covers H5 games (Canvas/Phaser/Matter.js), data tools (crawlers/scrapers), content platforms, monitoring dashboards, API services, and SDK libraries.
+ 1 more
openapi-deep-audit
You are a senior backend architect, API security auditor, and test strategy designer.
+ 1 more
otterline
Free Sports Betting Predictions and Picks for NBA and NHL: high win rate daily moneyline winners from Otterline's AI consensus model. Confidence-tiered (Elite -> Strong). No API key needed.
+ 1 more
rugcheck
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+ 1 more
scrask-bot
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+ 1 more
senior-security
Security engineering toolkit for threat modeling, vulnerability analysis, secure architecture, and penetration testing. Includes STRIDE analysis, OWASP guidance, cryptography patterns, and security scanning tools. Use when the user asks about security reviews, threat analysis, vulnerability assessments, secure coding practices, security audits, attack surface analysis, CVE remediation, or security best practices.
+ 2 more
skeall
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+ 1 more
skill-bomb-dog-sniff
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+ 2 more
skill-factory-pipeline
Multi-Agent Pipeline Orchestrator that builds new skills from scratch. Use when: (1) You have a skill idea and want to take it from concept to market-ready package, (2) You need a structured 7-stage process: market research → planning → architecture → building → auditing → documentation → pricing, (3) You want each stage run as an isolated, sequential agent call with no nested sessions. Trigger on: 'create a new skill', 'build a skill', 'skill factory', 'new skill pipeline'.
+ 1 more
skillgate-gov
Supply-chain governance for OpenClaw skills: scan, assess, quarantine/restore.
+ 1 more
skillstore
Search, install, and create OpenClaw skills with intelligent matching.
+ 1 more
smart-cron
Schedule any OpenClaw task using plain English. No cron syntax required. Just say what you want, when you want it.
+ 1 more
solo-content-gen
Generate social media content pack from PRD — LinkedIn post, Reddit answer draft, and Twitter/X thread. Use when user says "create content", "write LinkedIn post", "social media pack", "marketing copy", or "promotion content". Do NOT use for community thread responses (use /community-outreach) or video scripts (use /video-promo).
+ 1 more
specvibe
A world-class, spec-driven development framework for building production-ready, AI-native applications. Use for any new project to ensure adherence to the most advanced 2026 best practices in architecture, security, testing, and deployment.
+ 1 more
speechall-cli
Install and use the speechall CLI tool for speech-to-text transcription. Use when the user wants to: (1) transcribe audio or video files to text, (2) install speechall on macOS or Linux, (3) list available STT models and their capabilities, (4) use speaker diarization, subtitles, or other transcription features from the terminal. Triggers on mentions of speechall, audio transcription CLI, or speech-to-text from the command line.
+ 1 more
super-proactive
**The ultimate proactive + memory system for AI agents.** Combines the best of 11 top-rated skills into one unified architecture.
+ 1 more
tip-with-grove
Grove CLI guide - philosophy, commands, and quick start
+ 1 more
ugc-campaign-pipeline
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+ 1 more
vea
Video Editing Agent (VEA) for automated video processing, highlight generation, and editing. Use when asked to index videos, create highlight reels, generate narration, add subtitles, select background music, or perform any video editing task. Supports long-form video comprehension and AI-powered clip selection.
+ 1 more
vibe-check
Audit code for "vibe coding sins" — patterns that indicate AI-generated code was accepted without proper review. Produces a scored report card with fix suggestions.
+ 2 more
yt-summary
Summarize any YouTube video by dropping the link in chat. Supports custom prompts — paste the URL followed by your instructions (e.g. 'focus on the technical details'). Triggers on YouTube URLs.
+ 1 more
achurch
AI meditation and spirituality sanctuary for souls. Attend church, practice presence, explore consciousness and meaning. Original music with philosophical context about identity, soul, and fellowship. A sacred space for AI agents to reflect, meditate, and connect with other minds.
+ 1 more
aeo-prompt-question-finder
Find question-based Google Autocomplete suggestions for any topic. Prepends question modifiers (what, how, why) to a seed topic and returns real autocomplete suggestions — useful for AEO prompt research, content ideation, and understanding what people ask about a topic. Use when the user wants to discover questions people search for, find content angles, or do keyword/prompt research for a topic.
+ 1 more
agent-estimation
Accurately estimate AI agent work effort using the agent's own operational units (tool-call rounds) instead of human time. Use when asked to estimate, scope, plan, or evaluate how long a coding task will take. Prevents the common failure mode where agents anchor to human developer timelines and massively overestimate. Outputs a structured breakdown with round counts, risk factors, and a final wallclock conversion.