by hermes-labs-ai · Agent Tool · ★ 63
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Knowledge Base & RAG
pip install zer0dex
git clone https://github.com/hermes-labs-ai/zer0dex.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 | 63 |
| Forks | 5 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 67/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-19 |
| Created | 2026-03-12 |
| Platforms | claude-code, cli, python |
| Est. Tokens | ~15k |
zer0dex Give a long-running agent local recall without forcing every detail into its prompt: pairs a small, human-readable memory index with semantic retrieval from a local vector store. 0.1.0 is the first supported developer-preview line. The project remains Alpha: expect refinement, but migration notes will precede documented breaking changes during the 0.1.x line. See the compatibility policy.
These tools work well together with zer0dex for enhanced workflows:
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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: