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 chenhg5 · Codex Skill · ★ 149
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agencycli safe to install? View the security audit →
Spin up a self-managing AI agent team in minutes. One CLI + built-in web console. Agents that plan, execute, and talk to each
| Stars | 149 |
| Forks | 12 |
| Language | Go |
| Category | Codex Skill |
| Quality Score | 62.0861794567242/100 |
| Open Issues | 4 |
| Last Updated | 2026-07-10 |
| Created | 2026-03-16 |
| Platforms | claude-code, cli, codex, gemini, go |
| Est. Tokens | ~17k |
Looking for a agencycli alternative? If you're comparing agencycli with other codex skill tools, these 3 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
开源了Codex Skills等集合，大部分是自己实际需要搞得，需要的自取。欢迎star
Skills for agentic development on Solana
A Codex/Claude skill that maintains per-repo operating theory documents.
Explore other popular codex skill tools:
agencycli is Lightweight CLI to build self-managing AI agent teams. Define roles, skills & projects in Markdown+YAML — agents run autonomously on a heartbeat schedule, talk to each other via inbox, and delegate ta. It is categorized as a Codex Skill with 149 GitHub stars.
agencycli is primarily written in Go.
You can find installation instructions and usage details in the agencycli GitHub repository at github.com/chenhg5/agencycli. The project has 149 stars and 12 forks, indicating an active community.
The top alternatives to agencycli on Agent Skills Hub include skills, solana-dev-skill, theorist. 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: