by CSS-Electronics · Claude Skill · ★ 185
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 185 |
| Forks | 42 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 60/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-10 |
| Created | 2026-06-16 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
CAN bus reverse engineering skills This repo contains Claude Code skills that help you reverse engineer raw CAN bus data into decoding rules stored as DBC files. Specifically, the skills help you leverage AI/LLM tools like Claude Code and python-can scripts to identify which CAN ID and data bits encode a real-world value (speed, RPM, state of charge, ...), work out its start bit, length,...
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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: