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 PixelPaw-Labs · Codex Skill · ★ 105
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is codex-trace safe to install? View the security audit →
Codex Trace Codex Trace is an OpenAI Codex CLI session log viewer for local JSONL files stored in . Browse, search, live-tail, and inspect Codex CLI conversations in a native desktop app and web UI. Codex Trace renders Codex CLI JSONL session files as readable turns with tool calls, token counts, timestamps, collaboration chains, and live SSE tailing for ongoing sessions. Use Codex Trace when you want to: View OpenAI Codex CLI conversation history from Browse Codex CLI JSONL session logs without reading raw JSONL files Search Codex CLI sessions and messages Inspect Codex CLI tool calls, command output, MCP tools, patches, web searches, and image generation events Review token usage from pre
| Stars | 105 |
| Forks | 22 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 72.8298543194271/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-18 |
| Created | 2026-04-25 |
| Platforms | browser, cli, codex, rust |
| Est. Tokens | ~23k |
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codex-trace is OpenAI Codex CLI session log viewer for JSONL files in ~/.codex/sessions. Browse conversations, tool calls, tokens, collaboration chains, and live sessions on desktop and web.. It is categorized as a Codex Skill with 105 GitHub stars.
codex-trace is primarily written in Rust. It covers topics such as ai-tools, codex, codex-cli.
You can find installation instructions and usage details in the codex-trace GitHub repository at github.com/PixelPaw-Labs/codex-trace. The project has 105 stars and 22 forks, indicating an active community.
codex-trace is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to codex-trace on Agent Skills Hub include claude-code-trace, repo-wizard, lovcode. 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: