cvss-score-extraction

cvss-score-extraction is a skill for Claude Code, Codex from xuansenpa1/skillrevise. It costs 64 tokens per session (2,359 once invoked), scanned A, original, MIT.

A method for extracting CVSS scores from vulnerability records. CVSS, the Common Vulnerability Scoring System, is a standard 0-to-10 scale for describing how serious a security flaw is.

In plain words
What is it for?
Use it to select scores from sources such as NVD, GHSA, and Red Hat, handle missing values, and include consistent severity information in security reports.
Why use it?
It removes ambiguity when several vulnerability sources provide different scores or when a score is missing. It defines fallback rules and prioritizes newer CVSS versions when available.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to select scores from sources such as NVD, GHSA, and Red Hat, handle missing values, and include consistent severity information in security reports.

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Install with agentmods
npx agentmods add skills/xuansenpa1/skillrevise/cvss-score-extraction
Install

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.

Any agent
npx skills add xuansenpa1/skillrevise --skill cvss-score-extraction
Clone the repo
git clone --depth 1 https://github.com/xuansenpa1/skillrevise

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for cvss-score-extraction

README.md
[![agentmods](https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/cvss-score-extraction/github.svg)](https://agentmods.dev/skills/xuansenpa1/skillrevise/cvss-score-extraction)
Your own site
<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.

agentmods 80×15 button for cvss-score-extraction

Your own site · 80×15
<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>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,359 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 9d ago against content hash 5f9e2a22ec2a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

data/skillsbench/tasks/software-dependency-audit/environment/skills/cvss-score-extraction/SKILL.md · 313 lines

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

  1. NVD (National Vulnerability Database)

    • Maintained by NIST (U.S. government)
    • Most authoritative source
    • Priority: Highest
  2. GHSA (GitHub Security Advisory)

    • Community-driven vulnerability database
    • Strong for open-source packages
    • Priority: Medium
  3. 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.

Read the full file on GitHub · 313 lines

Changes

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.

  1. 9d ago First seen · 313 lines · 64 tokens per session scan A 5f9e2a22ec2a

Subscribe to this mod's changes

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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