by tonone-ai · Agent Tool · ★ 76
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
claude plugin install tonone@tonone-ai
/plugin marketplace add tonone-ai/tononeTaken 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 | 76 |
| Forks | 12 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63/100 |
| Last Updated | 2026-10-14 |
| Created | 2026-03-16 |
| Platforms | claude-code, python |
| Est. Tokens | ~25k |
Tonone Founder + Tonone = whole company. 100 specialist agents in 10 teams for Claude Code, plus 429 skills. Tell the lead what you're building. It scopes the work into depth tiers, shows which specialists each tier uses and what it costs, then runs the one you pick. MIT licensed. Real /apex-plan output.
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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: