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 yan5xu · Codex Skill · ★ 369
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is codexloom safe to install? View the security audit →
CodexLoom Loom your Codex. A working environment for long-running Codex Agents. English · 简体中文 Owner-facing product language is reviewed in Simplified Chinese first. The Chinese Owner Guide is canonical; this English README and Guide are translations and must not introduce independent product meaning. Give each Agent a durable Domain responsibility, organize them into a governed Team, and deliver mature capabilities to customers, communities, and collaborators through Interface Agents. Inside, continuously govern a long-running Agent Team. Outside, provide one clear service surface while the responsible Domain Agents complete professional work within explicit identity, Conversation, authorization, and information boundaries. Website · 中文官网 · Owner guide（简体中文，canonical） · English guide · Get started · Community · Documentation What Is CodexLoom CodexLoom is built on Codex. It does not reimplement the agent runtime or duplicate thread history. Instead, it turns a Codex thread into the continuing workspace of a long-running Domain Agent, then adds durable identity, Profile, Team relationships, bounded coordination, huma
| Stars | 369 |
| Forks | 27 |
| Language | Go |
| Category | Codex Skill |
| Quality Score | 61.2056513497335/100 |
| Open Issues | 15 |
| Last Updated | 2026-08-20 |
| Created | 2026-07-07 |
| Platforms | codex, go |
| Est. Tokens | ~20k |
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codexloom is Turn Codex threads into an organization of long-lived domain agents.. It is categorized as a Codex Skill with 369 GitHub stars.
codexloom is primarily written in Go. It covers topics such as agent-governance, agent-orchestration, ai-agents.
You can find installation instructions and usage details in the codexloom GitHub repository at github.com/yan5xu/codexloom. The project has 369 stars and 27 forks, indicating an active community.
The top alternatives to codexloom on Agent Skills Hub include SWE-AF, orchestkit, forge-orchestrator. 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: