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 bydtesla1609 · Codex Skill · ★ 123
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is intent-debugger safe to install? View the security audit →
简体中文 · English Intent Debugger 需求澄清与意图对齐 把说不清的想法,整理成清楚、具体、可核对的需求。 <img src="https://img.shields.io/github/stars/bydtesla1609/intent-debugger?style=flat&color=f5a623" alt="
| Stars | 123 |
| Forks | 15 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 61.21581102341/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-20 |
| Created | 2026-08-21 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~14k |
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intent-debugger is Turn vague product or feature ideas into clear, checkable requirements before planning or coding—mapping rough descriptions to professional terms, exposing ambiguities, and aligning goals, flows, and . It is categorized as a Codex Skill with 123 GitHub stars.
intent-debugger is primarily written in Python. It covers topics such as ai-agent, ai-skill, claude-code.
You can find installation instructions and usage details in the intent-debugger GitHub repository at github.com/bydtesla1609/intent-debugger. The project has 123 stars and 15 forks, indicating an active community.
intent-debugger is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to intent-debugger on Agent Skills Hub include agent-skills, aiwg, deterministic-agent-control-protocol. 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: