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 iloom-ai · Agent Tool · ★ 111
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is iloom-cli safe to install? View the security audit →
iloom ===== VS Code extension now available! Run to install. Get the recap panel to see AI decisions, risks, and assumptions in real-time, plus the loom explorer to manage and switch between active projects and tasks. iloom in action: Scale understanding, not just output. Links to key sections How It Works • Installation • Configuration • Advanced Features • Swarm Mode • Telemetry • Limitations • Contributing How can your team trust the code your AI wrote, when you d
| Stars | 111 |
| Forks | 18 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 62.7547163311752/100 |
| Open Issues | 151 |
| Last Updated | 2026-09-18 |
| Created | 2025-09-14 |
| Platforms | claude-code, cli, node |
| Est. Tokens | ~23k |
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iloom-cli is iloom: a developer workflow system delivered as a CLI and a VS Code extension for structured AI-assisted development. The CLI is the system of record, running tasks in isolated workflows and persistin. It is categorized as a Agent Tool with 111 GitHub stars.
iloom-cli is primarily written in TypeScript. It covers topics such as agentic-ai, ai-development, angentic-workflows.
You can find installation instructions and usage details in the iloom-cli GitHub repository at github.com/iloom-ai/iloom-cli. The project has 111 stars and 18 forks, indicating an active community.
The top alternatives to iloom-cli on Agent Skills Hub include claude-code-bmad-skills, cozempic, jat. 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: