No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by OthmanAdi · Claude Skill · ★ 27.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is planning-with-files safe to install? View the security audit →
Planning with Files Work like Manus — the AI agent company Meta acquired for $2 billion. 💬 A Note from the Author To everyone who starred, forked, and shared this skill — thank you. This project blew up in less than 24 hours, and the support from the community has been incredible. If this skill helps you work smarter, that's all I wanted. 🌍 See What the Community Built [@kmi
| Stars | 27,091 |
| Forks | 2,255 |
| Language | Shell |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 64.5223536592258/100 |
| Open Issues | 10 |
| Last Updated | 2026-09-23 |
| Created | 2026-01-03 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~14k |
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planning-with-files is Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot, determi. It is categorized as a Claude Skill with 27.1k GitHub stars.
planning-with-files is primarily written in Shell. It covers topics such as agent-skills, autonomous-agents, claude.
You can find installation instructions and usage details in the planning-with-files GitHub repository at github.com/OthmanAdi/planning-with-files. The project has 27.1k stars and 2255 forks, indicating an active community.
planning-with-files is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to planning-with-files on Agent Skills Hub include agents, awesome-claude-skills, ruflo. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: