ai-literacy-superpowers: A set of Claude Code and GitHub Copilot plugins providing the AI Literacy framework's complete development

by Habitat-Thinking · Agent Tool · ★ 104

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

How to install ai-literacy-superpowers

claude plugin install ai-literacy-superpowers     # the flagship
claude plugin install ai-literacy-superpowers

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

Security audit verdict: SAFE · quality 71/100

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.

agent-harness-enabledagent-orchestrationai-literacyclaude-codeclaude-code-plugincode-reviewcopilot-clicopilot-cli-plugincupiddeveloper-tools

Quick Facts

Stars104
Forks13
LanguagePython
CategoryAgent Tool
Quality Score71/100
Open Issues30
Last Updated2026-09-20
Created2026-03-30
Platformsclaude-code, cli, python
Est. Tokens~23k

About ai-literacy-superpowers

ai-literacy-superpowers [](ht

Compatible Skills

These tools work well together with ai-literacy-superpowers for enhanced workflows:

  • session-orchestrator — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (60%)
  • correctless — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)

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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 Agent Tool tools