by op7418 · Codex Skill · ★ 2.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills add op7418/Claude-to-IM-skill
git clone https://github.com/op7418/Claude-to-IM-skill.git ~/.claude/skills/claude-to-imTaken 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 | 2,902 |
| Forks | 316 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 80/100 |
| Open Issues | 99 |
| Last Updated | 2026-03-23 |
| Created | 2026-03-05 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~9k |
Claude-to-IM Skill Bridge Claude Code / Codex to IM platforms — chat with AI coding agents from Telegram, Discord, Feishu/Lark, or QQ. 中文文档 Want a desktop GUI instead? Check out CodePilot — a full-featured desktop app with visual chat interface, session management, file tree preview, permission controls, and more.
Looking for a Claude-to-IM-skill alternative? If you're comparing Claude-to-IM-skill 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: