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 SixHq · MCP Server · ★ 641
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Overture safe to install? View the security audit →
See the plan before the code. Approve it. Then watch it execute. Problem • Solution • Install • Features • Mark
| Stars | 641 |
| Forks | 63 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.1019613767762/100 |
| Open Issues | 4 |
| Last Updated | 2026-03-08 |
| Created | 2026-02-17 |
| Platforms | browser, claude-code, codex, gemini, mcp, node, vscode |
| Est. Tokens | ~12700k |
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Overture is Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server that visually maps out the execution plan of any AI coding agent as an interactive flowcha. It is categorized as a MCP Server with 641 GitHub stars.
Overture is primarily written in TypeScript. It covers topics such as ai-agent, ai-coding, automation.
You can find installation instructions and usage details in the Overture GitHub repository at github.com/SixHq/Overture. The project has 641 stars and 63 forks, indicating an active community.
Overture is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Overture on Agent Skills Hub include memorix, compose-skill, postman-mcp-server. 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: