No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by thesongzhu · Codex Skill · ★ 898
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Friday safe to install? View the security audit →
中文 Friday The trusted application layer for AI agents to do real work. Give Friday a goal, let it use configured tools, and keep approval, memory, evidence, and rollback in the loop. Local-first · BYOK · Approval-first · Human-controlled · Evidence-backed =22" What Is Friday? Friday is a self-hosted personal AI and automation runtime: a local-first application layer that helps AI agents turn user-approved goals into verified work. It is meant to feel less like a blank chatbot and more like a private execution partner: you give a goal, Friday checks what it can do, uses configured capabilities, asks for the human-only pieces, executes, verifies the result, and records what it learned. Capability acquisition and self-upgrade flows are active work and should
| Stars | 898 |
| Forks | 114 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.2165675686745/100 |
| Open Issues | 9 |
| Last Updated | 2026-07-20 |
| Created | 2026-03-12 |
| Platforms | codex, node |
| Est. Tokens | ~16k |
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Friday is Private control plane for AI agents. It is categorized as a Codex Skill with 898 GitHub stars.
Friday is primarily written in TypeScript. It covers topics such as agent-orchestration, agents, ai-agents.
You can find installation instructions and usage details in the Friday GitHub repository at github.com/thesongzhu/Friday. The project has 898 stars and 114 forks, indicating an active community.
Friday is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Friday on Agent Skills Hub include amux, openclaw-command-center, gptme. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: