by sesori-ai · Codex Skill · ★ 139
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.
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 | 139 |
| Forks | 10 |
| Language | Dart |
| Category | Codex Skill |
| Quality Score | 65/100 |
| Open Issues | 13 |
| Last Updated | 2026-11-04 |
| Created | 2026-03-20 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~20k |
Sesori Run your AI coding agents from your phone. Sesori is the mobile cockpit for your AI coding sessions — OpenCode, OpenAI Codex CLI, GitHub Copilot CLI, Google Antigravity, Cursor, Claude Code, Hermes Agent, Pi, and Oh My Pi. Leave your laptop. Take the session. <a href="https://play.google.com/store/a
These tools work well together with sesori_apps_monorepo 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: