by smithersai · Codex Skill · ★ 446
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
bunx smithers-orchestrator init
bunx smithers-orchestrator up workflow.tsx --input '{"description":"Fix bug"}'Taken 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 | 446 |
| Forks | 51 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68/100 |
| Open Issues | 264 |
| Last Updated | 2026-11-05 |
| Created | 2026-01-05 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~17k |
Smithers Agent workflows you can watch live, rewind, fork, and replay. Tell your coding agent to do real, multi-step work, then Smithers runs it for minutes or days: watch every step live, gate the risky ones behind human approvals, and rewind, fork, or replay any run. The same workflow runs across Claude Code, Codex, Pi, AI SDK models, and remote sandboxes.
These tools work well together with smithers 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: