magpie: Every agent's model. One place. Codex on DeepSeek, Claude Code on Kimi, from the menu bar

by yetone · Codex Skill · ★ 19.5k

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

How to install magpie

go install github.com/yetone/magpie@latest

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

Security audit verdict: SAFE · quality 63/100

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.

claude-codecodexdeepseekgemini-clillmmacos

Quick Facts

Stars19,486
Forks1,470
LanguageGo
CategoryCodex Skill
LicenseMIT
Quality Score63/100
Open Issues1484
Last Updated2026-10-22
Created2026-09-23
Platformsclaude-code, cli, codex, gemini, go
Est. Tokens~19k

About magpie

magpie One place to pick every agent's model: Codex on DeepSeek, Claude Code on Kimi, Gemini CLI on GLM, from the menu bar. usemagpie.ai is a single screen that lists each AI agent on your machine and the model it is set to. Click a value, pick a model. That is the whole app.

Compatible Skills

These tools work well together with magpie for enhanced workflows:

  • cc-fleet — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
  • Clipal — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • Clipal — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • comanda — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)

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Looking for a magpie alternative? If you're comparing magpie with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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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 Codex Skill tools