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 reactive-resume · MCP Server · ★ 43.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is reactive-resume safe to install? View the security audit →
[!IMPORTANT] Repository moved: Reactive Resume now lives at on GitHub. Docker Hub stays at . GHCR builds now publish to . Verified image tags: , , , and (AMD64 and ARM64). The current version was rebuilt and production redeployed for this rename; no new GitHub release or version bump was made. See migration details. GitHub Sponsors and Open Collective funding links remain unchanged. Reactive Resume Reactive Resume is a free and open-source resume builder that makes it easy to create, update, and share your resume. Get Started · Learn More
| Stars | 43,857 |
| Forks | 4,821 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.8596268675158/100 |
| Open Issues | 56 |
| Last Updated | 2026-10-06 |
| Created | 2020-03-25 |
| Platforms | mcp, node |
| Est. Tokens | ~16k |
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reactive-resume is A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!. It is categorized as a MCP Server with 43.9k GitHub stars.
reactive-resume is primarily written in TypeScript. It covers topics such as agent-skills, ai, dsh-plugin.
You can find installation instructions and usage details in the reactive-resume GitHub repository at github.com/reactive-resume/reactive-resume. The project has 43.9k stars and 4821 forks, indicating an active community.
reactive-resume is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to reactive-resume on Agent Skills Hub include n8n, open-saas, E2B. 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: