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 twhsi · Claude Skill · ★ 256
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skills safe to install? View the security audit →
AI Agent Skills for Chinese Knowledge Workers Reusable agent skills for weekly review, iMandalArt, FIRE analysis, card-based notes, writing, publishing, and Chinese knowledge workflows. iMandalArt, FIRE semantic analysis, planning, and publishing workflows for Claude Code, Codex, and mainstream LLM agents. This repository is Yunghsi's public agent-skill system for Chinese knowledge workers. It turns repeatable writing, planning, note-making, and publishing workflows into skills that can be used by Claude Code, Codex, ChatGPT, Gemini, Hermes, and other LLM agents. The source of truth lives in ; the website turns those files into generated LLM manifests, a searchable skill index, install commands, version labels, Git revisions, and update timestamps. What This Repository Is is an installable, shareable, LLM-readable skill registry. It turns long-running workflows for weekly review, iMandalArt, FIRE analysis, card-based notes, EPUB publishing, HyperCard returns, and desktop work into public procedures that agents can repeat and humans can inspect. The point is not to make humans behave like faster machines.
| Stars | 256 |
| Forks | 38 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 67.4109166036082/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-21 |
| Created | 2026-06-16 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
These tools work well together with skills for enhanced workflows:
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skills is AI Agent Skills for Chinese Knowledge Workers: iMandalArt, FIRE, planning, and publishing workflows for Claude Code, Codex, and LLM agents.. It is categorized as a Claude Skill with 256 GitHub stars.
skills is primarily written in Python. It covers topics such as agent-skills, ai-agent, claude-code.
You can find installation instructions and usage details in the skills GitHub repository at github.com/twhsi/skills. The project has 256 stars and 38 forks, indicating an active community.
The top alternatives to skills on Agent Skills Hub include skill-conductor, remember, agent-deck. 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: