octo-server: The Go backend powering OCTO — an open workplace built for humans × AI agents

by Mininglamp-OSS · Codex Skill · ★ 1.1k

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

How to install octo-server

git clone https://github.com/Mininglamp-OSS/octo-server.git

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

Security audit verdict: SAFE · quality 66/100

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.

ai-agentsapache2chatcollaborationdigital-workplacegogolangiminstant-messaginglobster

Quick Facts

Stars1,108
Forks175
LanguageGo
CategoryCodex Skill
LicenseApache-2.0
Quality Score66/100
Open Issues7
Last Updated2026-11-06
Created2026-05-11
Platformsgo
Est. Tokens~17k

About octo-server

OCTO — the open workplace built for humans × AI agents. Let Lobsters (OpenClaw-powered digital doubles) do the thinking and doing. You focus on taste. 🏠 OCTO Home · 🚀 Quickstart · 📦 Ecosystem · 🤝 Contributing 🌐 Read in: English · 简体中文 OCTO Server The Go backend at the centre of OCTO — REST + WebSocket APIs, Lobster agent orchestration, and the control plane for WuKongIM.

Compatible Skills

These tools work well together with octo-server for enhanced workflows:

  • unraid-management-agent — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (62%)
  • aweb — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
  • harnessclaw-engine — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)

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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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