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 delexw · LLM Plugin · ★ 370
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-code-trace safe to install? View the security audit →
Claude Code Trace Claude Code Trace is a Claude Code session log viewer for local JSONL files stored in . Browse, tail, and inspect Claude Code conversations in real time. Claude Code Trace renders Claude Code JSONL session files as readable conversations with expandable tool calls, token counts, timestamps, MCP tool call detection, and live log tailing. It also helps you find sessions by user message. It runs as a GUI ap
| Stars | 370 |
| Forks | 22 |
| Language | Rust |
| Category | LLM Plugin |
| License | MIT |
| Quality Score | 72.0364774335489/100 |
| Open Issues | 8 |
| Last Updated | 2026-09-20 |
| Created | 2026-03-11 |
| Platforms | browser, claude-code, rust |
| Est. Tokens | ~24k |
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claude-code-trace is Claude Code session log viewer for JSONL files in ~/.claude/projects. Browse conversations, tool calls, tokens, and live tail sessions on desktop, web, and TUI.. It is categorized as a LLM Plugin with 370 GitHub stars.
claude-code-trace is primarily written in Rust. It covers topics such as ai-tools, anthropic, claude.
You can find installation instructions and usage details in the claude-code-trace GitHub repository at github.com/delexw/claude-code-trace. The project has 370 stars and 22 forks, indicating an active community.
claude-code-trace is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-code-trace on Agent Skills Hub include codex-trace, yume, Claude-Agent-Team-Manager. 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: