by FulAppiOS · Codex Skill · ★ 155
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/FulAppiOS/Agent-Quest.gitTaken 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 | 155 |
| Forks | 29 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 75/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-16 |
| Created | 2026-04-17 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~17k |
A fantasy village dashboard for monitoring your Claude Code CLI and Codex agents. Use Claude Code CLI or Codex as usual — each agent session auto-spawns a hero on the dashboard, live. Agent Quest is a browser-based monitoring dashboard that visualizes active Claude Code and Codex agent sessions as fantasy heroes in a 2D village.
These tools work well together with Agent-Quest for enhanced workflows:
Looking for a Agent-Quest alternative? If you're comparing Agent-Quest 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.
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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: