by Nexting-ai · Claude Skill · ★ 2.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install -g nexting-hermes-bridgeTaken 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 | 1,974 |
| Forks | 9 |
| Language | C |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 65/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-20 |
| Created | 2026-03-10 |
| Platforms | claude-code, codex |
| Est. Tokens | ~16k |
Nexting A wearable agent dispatcher for your own AI agents. Talk to your Claude Code, Codex, or OpenClaw anywhere, anytime — wear it, speak, dispatch. No phone, no app. Website · App Store · Docs · Discord · Twitter You already have powerful agents — Claude Code, Codex, OpenClaw. They're locked to your desk.
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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: