Wonder-Pill: A Claude skill that turns brainstorming into an interactive mind map of inverted assumptions

by ara-mkr · Claude Skill · ★ 81

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

How to install Wonder-Pill

git clone https://github.com/ara-mkr/Wonder-Pill.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 50/100

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.

aiai-toolsclaudeclaude-aiclaude-code-skillclaude-desktopclaude-skillscodex-skillskill-mdskills

Quick Facts

Stars81
Forks6
CategoryClaude Skill
LicenseMIT
Quality Score50/100
Last Updated2026-09-02
Created2026-08-31
Platformsclaude-code, codex
Est. Tokens~15k

About Wonder-Pill

💊 Wonder Pill A Claude skill that refuses to give you the answer. block below, and drag assets/demo.mp4 into the editor. GitHub uploads it and leaves a https://github.com/user-attachments/assets/... URL that renders as an inline player. The block below is the fallback until then. -- Panning around a Wonder Pill map — seeds, branches, dead ends, and the two places the thinking converged.

Compatible Skills

These tools work well together with Wonder-Pill for enhanced workflows:

  • roadtrip-skill — semantic(0.36)+complementary+similar_pop+shared_platform (53%)

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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