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 matt1398 · Claude Skill · ★ 4.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-devtools safe to install? View the security audit →
claude-devtools Terminal tells you nothing. This shows you everything. A desktop app that reconstructs exactly what Claude Code did — every file path, every tool call, every token — from the raw session logs already on your machine. <a href="h
| Stars | 3,950 |
| Forks | 301 |
| Language | TypeScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 72.8576074753616/100 |
| Open Issues | 52 |
| Last Updated | 2026-09-26 |
| Created | 2026-02-07 |
| Platforms | claude-code, node |
| Est. Tokens | ~18k |
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claude-devtools is The missing DevTools for Claude Code — inspect session logs, tool calls, token usage, subagents, and context window in a visual UI. Free, open source.. It is categorized as a Claude Skill with 4.0k GitHub stars.
claude-devtools is primarily written in TypeScript. It covers topics such as ai, ai-agent, ai-debugging.
You can find installation instructions and usage details in the claude-devtools GitHub repository at github.com/matt1398/claude-devtools. The project has 4.0k stars and 301 forks, indicating an active community.
claude-devtools is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-devtools on Agent Skills Hub include CodePilot, open-cowork, llmgateway. 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: