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 dongshuyan · Claude Skill · ★ 705
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is compass-skills safe to install? View the security audit →
COMPASS Skills 中文 · Security · License COMPASS Skills is a local-first skill suite for AI coding agents. It helps agents clarify ambiguous work, preserve long-running project context, and adapt collaboration style without uploading user data. The project currently ships three skills: Quick Start List the available skills without installing: Install all skills for Claude Code: Install all skills for both Codex and Claude Code: After installation, invoke the skills directly in a session: text $task-clarifier $task-forest $use
| Stars | 705 |
| Forks | 58 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 70.4197119915497/100 |
| Last Updated | 2026-08-26 |
| Created | 2026-06-15 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
These tools work well together with compass-skills for enhanced workflows:
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compass-skills is 司南：个性化 AI 任务总控 Skills 系统 /COMPASS: Personal Alignment Skills OS for AI Agents. It is categorized as a Claude Skill with 705 GitHub stars.
compass-skills is primarily written in Python. It covers topics such as agent-memory, agent-skill, agent-skills.
You can find installation instructions and usage details in the compass-skills GitHub repository at github.com/dongshuyan/compass-skills. The project has 705 stars and 58 forks, indicating an active community.
compass-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to compass-skills on Agent Skills Hub include awesome-ai-agent-skills, skills, smart-ralph. 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: