thinking-partner: Thinking partner skill for AI agents — 150+ mental models, orientation detection, cognitive operations

by mattnowdev · Agent Tool · ★ 204

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

How to install thinking-partner

npx skills add mattnowdev/thinking-partner
git clone https://github.com/mattnowdev/thinking-partner.git

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

Security audit verdict: SAFE · quality 68/100

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-skillsclaude-codecritical-thinkingcursordecision-makingmental-modelsthinking

Quick Facts

Stars204
Forks17
CategoryAgent Tool
LicenseMIT
Quality Score68/100
Open Issues1
Last Updated2026-03-31
Created2026-03-20
Platformsclaude-code, cli
Est. Tokens~3k

About thinking-partner

Thinking Partner A deterministic thinking partner that challenges assumptions and applies 150+ mental models to sharpen decisions, solve problems, and think more clearly. Built on the open Agent Skills standard. Works with Claude Code, Cursor, Windsurf, Cline, GitHub Copilot, and any AI agent that supports the standard. Install What It Does Not a lecture — a sparring session.

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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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