ljg-explain-concept: Claude Code skill: 8-dimensional concept anatomist. Deconstructs any concept into epiphany

by lijigang · Claude Skill · ★ 210

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install ljg-explain-concept

/plugin marketplace add lijigang/ljg-explain-concept
/plugin install ljg-explain-concept

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 59/100

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.

Quick Facts

Stars210
Forks13
CategoryClaude Skill
LicenseMIT
Quality Score59/100
Last Updated2026-02-09
Created2026-02-09
Platformsclaude-code
Est. Tokens~1k

About ljg-explain-concept

ljg-explain-concept A Claude Code skill that deconstructs any concept through 8 exploration dimensions, then compresses all insights into a single epiphany. What it does Given any concept (e.g. "entropy", "recursion", "freedom"), the skill performs: Preprocessing — clarify definition, identify core morphemes 8-Dimensional Exploration: Historical tracing Dialectical analysis Phenomenological...

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How this security grade is produced

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:

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