universal-examprep-skill: Exam Cram Coach · 跨会话记忆与讲义溯源防幻觉的极速备考教练

by ZeKaiNie · Claude Skill · ★ 337

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

How to install universal-examprep-skill

git clone https://github.com/ZeKaiNie/universal-examprep-skill .claude/skills/universal-exam-cram-coach

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 70/100

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.

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.

active-learningagent-skillai-tutoranti-hallucinationantigravitycheat-sheetclaude-codecodexcramcursor

Quick Facts

Stars337
Forks18
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score70/100
Last Updated2026-10-27
Created2026-06-24
Platformsclaude-code, cli, codex, gemini, python
Est. Tokens~16k

About universal-examprep-skill

Exam Cram Coach One night left. You studied nothing. It won't make anything up. English · 中文 Never fabricates: 100% honest abstention · in-your-materials-not-the-model's-head 11% → 99% · context −90% · 6 agents You know him. Night before the exam, hair a mess, eyes wide open, hasn't read a single page of the course.

Compatible Skills

These tools work well together with universal-examprep-skill for enhanced workflows:

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  • Bloom — semantic(0.28)+rare_topics+same_lang+similar_pop+shared_platform (58%)

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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:

View on GitHub → Browse Claude Skill tools