by dohooo · Codex Skill · ★ 1.3k
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 | 1,308 |
| Forks | 120 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 65/100 |
| Open Issues | 44 |
| Last Updated | 2026-08-22 |
| Created | 2026-04-02 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~15k |
Helmor The local-first workbench for orchestrating coding agents. AI made coding faster. Helmor is about finishing the rest of the loop — orchestrating, reviewing, testing, merging, and actually shipping software.
These tools work well together with helmor for enhanced workflows:
Looking for a helmor alternative? If you're comparing helmor with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The ADE for AI agents. Automate everything else. Do your true work.
List of agent orchestrators
Local-first macOS app to browse, search, analyze, and resume supported AI coding-agent session history across
Daymon puts your favorite AI to work 24/7. It schedules, remembers, and orchestrates your own virtual team. Fr
Cross-runtime skills for Claude Code, Codex, and multi-agent workflows.
Claude Code learns from your corrections: self-correcting memory that compounds over 50+ sessions. Context eng
Explore other popular codex skill tools:
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: