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 nickelsec · Codex Skill · ★ 70
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is bough safe to install? View the security audit →
Reads your Claude Code and OpenAI Codex CLI session history and draws what you actually built. Not how long your streak is. Claude Code's own covers that. This answers a different question: what did you actually build? Run it That is the whole thing. It finds your projects, asks which one, and opens it in your browser. What you get is a diagram of your own work. A square on the line is a day you sat down. Smaller squares hanging off it are the tasks inside that day. Every circle is a single prompt you typed. Hover anything and the pat
| Stars | 70 |
| Forks | 9 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 62.4184165184882/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-19 |
| Created | 2026-09-02 |
| Platforms | aws, claude-code, cli, codex, go |
| Est. Tokens | ~18k |
These tools work well together with bough for enhanced workflows:
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bough is Claude Code and Codex write down everything you do. bough draws it: a day, the work inside it, every prompt, and what got committed. One Go binary, runs on your machine, sends nothing anywhere.. It is categorized as a Codex Skill with 70 GitHub stars.
bough is primarily written in Go. It covers topics such as ai-coding, claude, claude-code.
You can find installation instructions and usage details in the bough GitHub repository at github.com/nickelsec/bough. The project has 70 stars and 9 forks, indicating an active community.
bough is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to bough on Agent Skills Hub include TaskWing, code-notify, recall. 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: