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 cgoinglove · MCP Server · ★ 25
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is thursday-agent safe to install? View the security audit →
Talk, and a team of bots does the work in a real browser, a shell and your files while she keeps talking. Open source, runs on your machine, on your ChatGPT plan or an OpenAI key. npx thursday-agent
| Stars | 25 |
| Forks | 3 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 63.2082699037272/100 |
| Open Issues | 8 |
| Last Updated | 2026-10-02 |
| Created | 2026-09-08 |
| Platforms | browser, claude-code, cli, mcp, node |
| Est. Tokens | ~16k |
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thursday-agent is Talk, and a team of bots does the work in a real browser, a shell and your files while she keeps talking. Open source, runs on your machine, on your ChatGPT plan or an OpenAI key. npx thursday-agent. It is categorized as a MCP Server with 25 GitHub stars.
thursday-agent is primarily written in TypeScript. It covers topics such as agent-skills, ai-agent, anthropic.
You can find installation instructions and usage details in the thursday-agent GitHub repository at github.com/cgoinglove/thursday-agent. The project has 25 stars and 3 forks, indicating an active community.
thursday-agent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to thursday-agent on Agent Skills Hub include chibi, native-devtools-mcp, camofox-mcp. 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: