Search the skill radar
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
🧾 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.
📏 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.
Results
issue-prioritizer
Prioritize GitHub issues by ROI, solution sanity, and architectural impact. Use when triaging or ranking issues to identify quick wins, over-engineered proposals, and actionable bugs. Don't use when managing forks (use fork-manager) or general GitHub queries (use github). Read-only — never modifies repositories.
+ 2 more
deai-image
Detect and remove AI fingerprints from AI-generated images. Strip metadata, add film grain, recompress, and bypass AI image detectors. Works with Midjourney, DALL-E, Stable Diffusion, Flux output.
+ 2 more
agent-safety
Outbound safety for autonomous AI agents — scans YOUR output before it leaves the machine. Git pre-commit hooks that automatically block commits containing API keys, tokens, PII, or secrets. Unlike inbound scanners (Skillvet, IronClaw), this protects against what YOU accidentally publish. Use when committing to git repos, publishing to GitHub, or running periodic system health checks. Automated enforcement at the git level — not prompts.
+ 2 more
guard-scanner
Security scanner and runtime guard for AI agent skills. 358 static threat patterns across 35 categories + 27 runtime checks (5 defense layers). Use when scanning skill directories for security threats, auditing npm/GitHub/ClawHub assets for leaked credentials, running real-time file watch during development, integrating security checks into CI/CD pipelines (SARIF/JSON), setting up MCP server for editor-integrated scanning (Cursor, Windsurf, Claude Code, OpenClaw), or runtime guarding tool calls via the OpenClaw v2026.3.8 before_tool_call hook. Single dependency (ws). MIT licensed.