capri-ai: Capri — Edgerunners-inspired AI agent for your desktop. Works with Claude Code, Codex, Antigravity & more

by ChannelCooperStart · Codex Skill · ★ 431

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

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.

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.

ai-agentai-agentsai-assistantsantigravityautamationclaudeclaude-aiclaude-codecodexcyberpunks

Quick Facts

Stars431
Forks67
CategoryCodex Skill
Quality Score63/100
Open Issues2
Last Updated2026-10-29
Created2026-10-27
Platformsclaude-code, codex
Est. Tokens~4k

About capri-ai

🌃 Capri — a cyberpunk AI agent for your desktop. One app for Claude Code, Codex, Antigravity & any AI assistant. Features · Quick Start · What You Can Ask · How It Works · Roadmap · FAQ 🌃 What is Capri? Capri is a cyberpunk AI agent that lives on your Windows desktop.

Compatible Skills

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

  • agents-council — semantic(0.35)+complementary+similar_pop+shared_platform (52%)

capri-ai alternative? Top 6 similar tools

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    🌃 Capri — Edgerunners-inspired AI agent for your desktop. Works with Claude Code, Codex, Antigravity & more.

  • Capri-AI by capridotcom · ⭐ 92

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  • Capri-AI by boardshogunfluctuate · ⭐ 518

    ⚡ Tell your PC what to do. Capri is a cyberpunk AI agent that works with your files, projects and code through

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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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