No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Dicklesworthstone · Claude Skill · ★ 83
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skillranker safe to install? View the security audit →
SkillRanker The right skill for the next step, powered by Jev from TypeSafe.ai. A standalone Rust CLI that puts TypeSafe.ai's Jev at the center of skill selection: Jev evaluates your agent's live context, compares the available skills, and estimates which ones fit the next step. SkillRanker supplies the session integration, local safeguards, and inspectable feedback around it. A TypeSafe API key is required to use SkillRanker's ranking system. Sign up at the TypeSafe console to get your own key. Contents TL;DR Quick Example Design Philosophy [How It Compares](#how-it
| Stars | 83 |
| Forks | 6 |
| Language | Rust |
| Category | Claude Skill |
| Quality Score | 65.2443841349299/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-20 |
| Created | 2026-09-17 |
| Platforms | claude-code, cli, rust |
| Est. Tokens | ~34k |
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skillranker is Rust CLI powered by Jev from TypeSafe.ai that ranks agent skills for the next step using live session context. Includes Claude Code hooks, structured JSON, abstention, and local feedback. Requires a T. It is categorized as a Claude Skill with 83 GitHub stars.
skillranker is primarily written in Rust. It covers topics such as agent-skills, ai-agents, asupersync.
You can find installation instructions and usage details in the skillranker GitHub repository at github.com/Dicklesworthstone/skillranker. The project has 83 stars and 6 forks, indicating an active community.
The top alternatives to skillranker on Agent Skills Hub include claudepro-directory, jev-review, awesome-jev-projects. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: