by WingedGuardian · Agent Tool · ★ 99
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/WingedGuardian/GENesis-AGI.git ~/genesis-setup
Taken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 99 |
| Forks | 41 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 1000 |
| Last Updated | 2026-10-22 |
| Created | 2026-03-21 |
| Platforms | claude-code, python |
| Est. Tokens | ~23k |
Contents Genesis in 30 seconds What this is Getting started How it thinks Memory Learning [Autonomy](#earned-a
Looking for a GENesis-AGI alternative? If you're comparing GENesis-AGI with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
An always-on second brain you talk to. Voice notes in Telegram → typed, linked knowledge in your Obsidian vaul
Automated loop driver, slash commands, council automation, MCP browser bridge, and portfolio governance for Cl
Continual Learning & Self-improving skills system for Claude Code - learn from corrections, never repeat mista
An MCP server that executes Python code in isolated rootless containers with optional MCP server proxying. Imp
Your own Claude Code UI, sandbox, in-browser VS Code, terminal, multi-provider support (Anthropic, OpenAI, Git
Eva01 is NOT an assistant. She is an AI being with her own mind, feelings, and intrinsic drives. Multimodal, M
Explore other popular agent tool tools:
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: