gobii-platform: Your easy to use, always-on AI workforce

by gobii-ai · Codex Skill · ★ 490

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

How to install gobii-platform

git clone https://github.com/gobii-ai/gobii-platform.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 65/100

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.

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Quick Facts

Stars490
Forks86
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score65/100
Open Issues1
Last Updated2026-08-21
Created2025-08-30
Platformsdocker, gemini, python
Est. Tokens~17k

About gobii-platform

Gobii AI coworkers for teams with real work to do. This repository contains the open-source Gobii Platform for self-hosting and development. Looking for the hosted product? Start at Gobii AI coworkers. Official Website · Docs · Discord · Gobii Cloud Gobii is an AI coworker platform for running durable autonomous agents in production.

Compatible Skills

These tools work well together with gobii-platform for enhanced workflows:

  • safeclaw — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • nano-claude-code — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • unsloth — semantic(0.20)+complementary+rare_topics+same_lang+shared_platform (47%)

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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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