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 mufeedvh · LLM Plugin · ★ 7.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is code2prompt safe to install? View the security audit →
Convert your codebase into a single LLM prompt. Website • Documentation • Discord
| Stars | 7,632 |
| Forks | 438 |
| Language | Rust |
| Category | LLM Plugin |
| License | MIT |
| Quality Score | 65.1854709030341/100 |
| Open Issues | 14 |
| Last Updated | 2026-09-07 |
| Created | 2024-03-09 |
| Platforms | claude-code, cli, rust |
| Est. Tokens | ~23k |
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code2prompt is A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.. It is categorized as a LLM Plugin with 7.6k GitHub stars.
code2prompt is primarily written in Rust. It covers topics such as ai, chatgpt, claude.
You can find installation instructions and usage details in the code2prompt GitHub repository at github.com/mufeedvh/code2prompt. The project has 7.6k stars and 438 forks, indicating an active community.
code2prompt is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to code2prompt on Agent Skills Hub include aide, zcf, awesome-gpt-prompt-engineering. 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: