by Ephemeral-AI-Lab · Agent Tool · ★ 1.0k
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git clone https://github.com/Ephemeral-AI-Lab/layerfs.gitTaken from the project's README on GitHub. Check the security audit before running it.
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. Full audit →
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 | 1,023 |
| Forks | 46 |
| Language | Rust |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 59/100 |
| Open Issues | 43 |
| Last Updated | 2026-10-21 |
| Created | 2026-08-10 |
| Platforms | rust |
| Est. Tokens | ~25k |
LayerFS Ephemeral Workspaces. Durable Shared History. v0.1.6 Developer Preview: release and downloads, every measured selection, and compatibility boundary. Live Workspace state now lives in the sandbox and the Store format is unchanged; one construction worker, a bounded sandbox spool and every measured regression, waiver and declared allowance stay explicit.
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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: