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 san3ncrypt3d · MCP Server · ★ 56
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is vulnometry safe to install? View the security audit →
vulnometry Measure what a vulnerability is worth to your business, not how severe it is in the abstract. The problem Your scanner tells you a CVE exists and that NVD rated it 9.8. It does not know that the affected library sits on a decommissioned lab box, or that the unexciting 6.1 is on the payment gateway and in PCI scope. So everything critical looks equally urgent, and the queue gets worked in the wrong order. Vulnometry takes the same public data your scanner uses, combines it with a description of what you actually run, and gives you one answer per place you run the affected thing. Same CVE, three jobs, three dates, three owners. Bulk runs
| Stars | 56 |
| Forks | 6 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.2545533370149/100 |
| Last Updated | 2026-09-10 |
| Created | 2026-09-03 |
| Platforms | mcp, python |
| Est. Tokens | ~18k |
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vulnometry is Measure what a vulnerability is worth to your business, not how severe it is in the abstract. Business Exposure Index scoring over NVD, EPSS, CISA KEV, OSV and GHSA.. It is categorized as a MCP Server with 56 GitHub stars.
vulnometry is primarily written in Python. It covers topics such as cve, devsecops, epss.
You can find installation instructions and usage details in the vulnometry GitHub repository at github.com/san3ncrypt3d/vulnometry. The project has 56 stars and 6 forks, indicating an active community.
vulnometry is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to vulnometry on Agent Skills Hub include Wazuh-MCP-Server, agent-audit, mcp-audit. 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: