cc-haha: 本地优先的跨平台 Claude Code / AI Agent 桌面工作台:多 Agent 协作、Git Worktree、代码 Diff、技能市场、多模型

by NanmiCoder · MCP Server · ★ 15.3k

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

Security audit verdict: SAFE · quality 60/100

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.

agentaiai-agentanthropicclaudeclaude-codecoding-agentcomputer-usedesktop-appelectron

Quick Facts

Stars15,346
Forks8,613
LanguageTypeScript
CategoryMCP Server
Quality Score60/100
Open Issues208
Last Updated2026-11-07
Created2026-03-31
Platformsclaude-code, mcp, node
Est. Tokens~17k

About cc-haha

Claude Code Haha English · 简体中文 Claude Code Haha is a desktop Claude Code workspace for macOS, Windows, and Linux: sessions, projects, branch / Worktree launch, workspace changes and diff review, permission approval, model setup, Computer Use, H5 remote access, IM integration, and scheduled tasks in one app.

Compatible Skills

These tools work well together with cc-haha for enhanced workflows:

  • crystal — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • skills-manage — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • claude-devtools — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
  • opencove — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • nexu — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)

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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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