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 SylphAI-Inc · MCP Server · ★ 106
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is adal-cli safe to install? View the security audit →
AdaL CLI Documentation Your self-evolving agent for engineering and research ▶️ Watch the demo on YouTube About This is the public documentation site for AdaL CLI. AdaL is an agentic coding tool that runs in your terminal, created by SylphAI and named after Ada Lovelace, the world's first programmer. What you can do here: Report issues with AdaL CLI agent behavior Suggest documentation fixes or improvements Contribute to make the docs better Install AdaL CLI Requires [Node.js 20+](
| Stars | 106 |
| Forks | 14 |
| Language | HTML |
| Category | MCP Server |
| Quality Score | 67.9322872545453/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-22 |
| Created | 2025-11-26 |
| Platforms | claude-code, cli, gemini, mcp |
| Est. Tokens | ~16k |
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adal-cli is The automation-first agent harness. Every coding agent can build — AdaL does GTM directly from your codebase.. It is categorized as a MCP Server with 106 GitHub stars.
adal-cli is primarily written in HTML. It covers topics such as adal, agent, ai.
You can find installation instructions and usage details in the adal-cli GitHub repository at github.com/SylphAI-Inc/adal-cli. The project has 106 stars and 14 forks, indicating an active community.
The top alternatives to adal-cli on Agent Skills Hub include postman-mcp-server, agnix, ClaudeR. 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: