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 duckbugio · Agent Tool · ★ 502
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is flock safe to install? View the security audit →
English · Русский · 中文 · Español · Deutsch · Français · Português (BR) · 日本語 Flock Run a Claude Code AI dev team on your server and drive it from chat. Describe a feature in Telegram or VK; the team plans it, builds it on a branch, tests it, reviews it, and opens a PR — each chat in its own isolated workspace. It runs on your Claude Pro/Max subscription (no per-token billing) or an Anthropic API key, ships as prebuilt Docker images (no build step), and keeps every chat in its own sandboxed workspace. Quick start (Docker) That pulls the prebuilt image — no build, no Ansible — then message your bot. The minimum .env
| Stars | 502 |
| Forks | 6 |
| Language | Go |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63.6003789841672/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-03 |
| Created | 2026-06-08 |
| Platforms | claude-code, go |
| Est. Tokens | ~17k |
These tools work well together with flock for enhanced workflows:
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Safe runtime for autonomous on-chain AI agents: isolated sandboxes, Library skills, encrypted secrets.
everything-claude-code 中文翻译项目:完整的 Claude Code 配置集合(agents, skills, hooks, commands, rules, MCPs)。源自 Anthropic
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flock is Autonomous AI dev-team bot. It is categorized as a Agent Tool with 502 GitHub stars.
flock is primarily written in Go. It covers topics such as ai-agent, anthropic, autonomous-agents.
You can find installation instructions and usage details in the flock GitHub repository at github.com/duckbugio/flock. The project has 502 stars and 6 forks, indicating an active community.
flock is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to flock on Agent Skills Hub include captain-claw, agentsys, awesome-openclaw. 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: