by ChetasLua · AI Tool · ★ 112
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/ChetasLua/jevmeter.git && cd jevmeter && ./install.sh
git clone https://github.com/ChetasLua/jevmeter.gitTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 112 |
| Forks | 13 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 61/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-17 |
| Created | 2026-09-17 |
| Platforms | python |
| Est. Tokens | ~16k |
Every sentence scored. Every dodge flagged. Rendered as a 16:9 edit you can post. 🐣 New here? 3 steps, no coding 1. Install (macOS or Linux, needs Python 3.9+): 2. Paste your API key when the installer asks. Get one at console.typesafe.ai/keys. It's saved in your user settings, never in this folder, so it can't end up on GitHub. 3. Make a
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: