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 rusiaaman · MCP Server · ★ 153
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is chat.md safe to install? View the security audit →
chat.md: The Hacker's AI Chat Interface [Experimental] Finally, a fully editable chat interface with MCP support on any LLM. chat.md is a Visual Studio Code extension that reimagines AI interaction through plain text files. Unlike ephemeral web interfaces or proprietary chat windows, chat.md embraces a file-first approach where your conversations with AI are just markdown files with a extension. Edit them, version control them, share them - they're your files. The AI directly writes its response in the file. Any '.chat.md' file is now an AI agent hackable by you. Go crazy with non linear AI conversation. Usage video Here's the chat I used to publish this vscode extension using gemini-2.5-pro and wcgw mcp NOTE ⚠️: chat.md is 100% AI coded and should be treated as a feature rich POC. Why chat.md? | ❌ Max token
| Stars | 153 |
| Forks | 14 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 76.0711136217769/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-08 |
| Created | 2025-03-28 |
| Platforms | claude-code, cli, gemini, mcp, python, vscode |
| Est. Tokens | ~16k |
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chat.md is An md file as a chat interface and editable history in one.. It is categorized as a MCP Server with 153 GitHub stars.
chat.md is primarily written in Python. It covers topics such as agent, ai, aiagent.
You can find installation instructions and usage details in the chat.md GitHub repository at github.com/rusiaaman/chat.md. The project has 153 stars and 14 forks, indicating an active community.
chat.md is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to chat.md on Agent Skills Hub include agenite, solon-ai, agnix. 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: