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 OPTIMETA · Claude Skill · ★ 91
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is PAIDEIA safe to install? View the security audit →
ΠΑΙΔΕΙΑ · Paideia Your course. Your patterns. Your errors. Your cheatsheet. A Claude Code plugin that turns your own materials into a permanent, editable, per-course study graph — every artifact shaped by you, not by a generic syllabus. Capture lectures with Exam Radar — OPTIMETA's Alt plugin — and study them with Paideia. Install it in Alt and run the two together: the whole arc, from sitting in the lecture to studying for the exam, lands in one workflow. Pipe a roadmap straight in with /paideia:alt. <img s
| Stars | 91 |
| Forks | 3 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 60.12351262167/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-11 |
| Created | 2026-04-21 |
| Platforms | claude-code, python |
| Est. Tokens | ~24k |
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Paideia — a Claude Code plugin that forms exam readiness locally. Stop renting your own learning.
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PAIDEIA is Paideia — a Claude Code plugin that forms exam readiness locally. Stop renting your own learning.. It is categorized as a Claude Skill with 91 GitHub stars.
PAIDEIA is primarily written in Python. It covers topics such as claude-code, claude-code-plugin, engineering.
You can find installation instructions and usage details in the PAIDEIA GitHub repository at github.com/OPTIMETA/PAIDEIA. The project has 91 stars and 3 forks, indicating an active community.
PAIDEIA is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to PAIDEIA on Agent Skills Hub include PAIDEIA, bosun, cognithor. 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: