cuga-agent: CUGA is an open-source generalist agent harness for the enterprise, supporting complex task execution on web

by cuga-project · MCP Server · ★ 1.1k

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

How to install cuga-agent

git clone https://github.com/cuga-project/cuga-agent.git

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

Security audit verdict: SAFE · quality 74/100

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.

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Quick Facts

Stars1,119
Forks206
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score74/100
Open Issues255
Last Updated2026-11-05
Created2025-09-11
Platformsbrowser, mcp, python
Est. Tokens~24k

About cuga-agent

CUGA: Configurable Generalist Agent — Agent Harness for the Enterprise Start with a generalist. Customize for your domain. Deploy faster! Building a domain-specific enterprise agent from scratch is complex and requires significant effort: agent and tool orchestration, planning logic, safety and alignment policies, evaluation for performance/cost tradeoffs and ongoing improvements.

Compatible Skills

These tools work well together with cuga-agent for enhanced workflows:

  • open-computer-use — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • mac_computer_use — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • os-ai-computer-use — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • Toolathlon — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
  • claude-computer-use-macos — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)

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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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