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 gmickel · Agent Tool · ★ 103
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is CodeWhisper safe to install? View the security audit →
CodeWhisper AI-Powered End-to-End Task Implementation & blazingly fast Codebase-to-LLM Context Bridge Looking for local document search? Check out GNO (gmickel/gno) - a local knowledge engine with hybrid search (BM25 + vector + LLM reranking), MCP server for AI agents, and privacy-first design. Index Markdown, PDF, Office docs and get AI-powered answers from your own files. About • Why CodeWhisper? • Key Features • Quick Start • Installation • Usage • [
| Stars | 103 |
| Forks | 7 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 56.6513497785824/100 |
| Open Issues | 15 |
| Last Updated | 2026-07-01 |
| Created | 2024-07-18 |
| Platforms | cli, node |
| Est. Tokens | ~387k |
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CodeWhisper is CodeWhisper: AI-Powered End-to-End Task Implementation & blazingly fast Codebase-to-LLM Context Bridge. It is categorized as a Agent Tool with 103 GitHub stars.
CodeWhisper is primarily written in TypeScript. It covers topics such as ai-code-generation, ai-code-generator, ai-tools.
You can find installation instructions and usage details in the CodeWhisper GitHub repository at github.com/gmickel/CodeWhisper. The project has 103 stars and 7 forks, indicating an active community.
CodeWhisper is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to CodeWhisper on Agent Skills Hub include deep-code-reasoning-mcp, vsync, Gito. 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: