Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add xuansenpa1/skillrevise --skill cvss-score-extractiongit clone --depth 1 https://github.com/xuansenpa1/skillreviseWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/xuansenpa1/skillrevise/cvss-score-extraction)<a href="https://agentmods.dev/skills/xuansenpa1/skillrevise/cvss-score-extraction"><img src="https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/cvss-score-extraction/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/xuansenpa1/skillrevise/cvss-score-extraction"><img src="https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/cvss-score-extraction.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00064 | $0.02359 |
| Opus 5 | $0.00032 | $0.01179 |
| Sonnet 5 | $0.00013 | $0.00472 |
| Haiku 4.5 | $0.00006 | $0.00236 |
Grade A, and why
cvss-score-extraction scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 313 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CVSS Score Extraction from Vulnerability Data
This skill provides guidance on extracting CVSS scores from vulnerability data—a critical component of security report generation.
Overview
CVSS (Common Vulnerability Scoring System) provides a standardized way to assess the severity of security vulnerabilities. When generating security reports, extracting the correct CVSS score from multiple data sources is essential for accurate risk assessment.
What is CVSS?
CVSS Scoring System
CVSS assigns a numerical score (0.0-10.0) representing vulnerability severity:
| Score Range | Severity Level | Description |
|---|---|---|
| 0.0 | None | No impact |
| 0.1-3.9 | Low | Minimal impact |
| 4.0-6.9 | Medium | Moderate impact |
| 7.0-8.9 | High | Significant impact |
| 9.0-10.0 | Critical | Severe impact |
CVSS Versions
- CVSS v2: Legacy scoring system (0-10 scale)
- CVSS v3: Current standard with refined metrics
- CVSS v3.1: Minor refinement of v3
Best Practice: Prefer CVSS v3/v3.1 scores when available.
Multiple Vulnerability Data Sources
Vulnerability scanners often aggregate data from multiple sources, each providing their own CVSS assessment:
Common Sources
-
NVD (National Vulnerability Database)
- Maintained by NIST (U.S. government)
- Most authoritative source
- Priority: Highest
-
GHSA (GitHub Security Advisory)
- Community-driven vulnerability database
- Strong for open-source packages
- Priority: Medium
-
RedHat Security Data
- RedHat's security team assessments
- Focused on enterprise Linux ecosystem
- Priority: Lower
Why Multiple Sources?
- Not all sources have scores for every CVE
- Scores may differ based on interpretation
- Need fallback logic when primary source unavailable
Source Priority Strategy
When multiple sources provide scores, use a priority cascade:
NVD → GHSA → RedHat → N/A
Rationale: NVD is the most comprehensive and authoritative, followed by community sources, then vendor-specific databases.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 313 lines · 64 tokens per session scan A 5f9e2a22ec2a
cvss-score-extraction is a skill published in the GitHub repository xuansenpa1/skillrevise (56 stars, last pushed 7d ago), licensed MIT. It adds 64 tokens to every session and 2,359 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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