CVE Intelligence Gathering

CVE Intelligence Gathering is a skill for Claude Code, Codex from wangke19/gemini-ai-helpers. It costs 16 tokens per session (3,204 once invoked), scanned A, a copy of cve-intelligence-gathering, Apache-2.0.

A vulnerability research workflow that collects information about a CVE, a public identifier for a known software security flaw, from authoritative sources.

In plain words
What is it for?
Use it to validate CVE details, gather affected versions and fixes, and prepare evidence for later security analysis.
Why use it?
It builds a fuller and more reliable picture when searches are incomplete or the vulnerability is new.

Skill for Claude CodeCodex

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

Good fit Use it to validate CVE details, gather affected versions and fixes, and prepare evidence for later security analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wangke19/gemini-ai-helpers/cve-intelligence-gathering
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 wangke19/gemini-ai-helpers --skill cve-intelligence-gathering
Clone the repo
git clone --depth 1 https://github.com/wangke19/gemini-ai-helpers

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 CVE Intelligence Gathering

README.md
[![agentmods](https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/cve-intelligence-gathering/github.svg)](https://agentmods.dev/skills/wangke19/gemini-ai-helpers/cve-intelligence-gathering)
Your own site
<a href="https://agentmods.dev/skills/wangke19/gemini-ai-helpers/cve-intelligence-gathering"><img src="https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/cve-intelligence-gathering/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 CVE Intelligence Gathering

Your own site · 80×15
<a href="https://agentmods.dev/skills/wangke19/gemini-ai-helpers/cve-intelligence-gathering"><img src="https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/cve-intelligence-gathering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,204 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.
Origin 100% copy Near-identical to another mod 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 $0.00016 $0.03204
Opus 5 $0.00008 $0.01602
Sonnet 5 $0.00003 $0.00641
Haiku 4.5 $0.00002 $0.00320

Measured 7d ago against content hash cd929d4c8012, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

CVE Intelligence Gathering 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 7d 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.

Origin

This is a copy

100% identical to cve-intelligence-gathering — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

extensions/compliance/skills/cve-intelligence-gathering/SKILL.md · 477 lines

How it starts

The opening of the file, as written. The whole thing — 477 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CVE Intelligence Gathering

Systematically collects CVE vulnerability details from multiple authoritative sources, handles search failures, and compiles a comprehensive vulnerability profile for analysis.

When to Use This Skill

Use this skill when:

  • Starting CVE analysis and need complete vulnerability information
  • Web searches are returning limited or no results
  • CVE is very new and not yet in all databases
  • Need to distinguish between authoritative and user-provided information
  • Building evidence for security compliance reports

Prerequisites

Required

  • Valid CVE identifier (format: CVE-YYYY-NNNNN)
  • Internet connectivity (recommended but not required)
  • web_search tool access

Optional

  • User-provided CVE details (fallback when internet unavailable)
  • Links to security advisories

Implementation Steps

Step 1: Validate CVE Format

# Regex pattern for CVE ID
CVE_PATTERN="^CVE-[0-9]{4}-[0-9]{4,}$"

# Validate format
if [[ "$CVE_ID" =~ $CVE_PATTERN ]]; then
  echo "Valid CVE format"
else
  echo "ERROR: Invalid CVE format. Expected: CVE-YYYY-NNNNN"
  exit 1
fi

Extract components:

  • Year: YYYY from CVE-YYYY-NNNNN
  • Number: NNNNN from CVE-YYYY-NNNNN

Decision Point:

  • IF invalid format → Return error to parent command
  • IF valid → Continue to Step 2

Step 2: Search Primary Sources (NVD and MITRE)

National Vulnerability Database (NVD)

Search query: "CVE-{ID} site:nvd.nist.gov"
Example: "CVE-YYYY-NNNNN site:nvd.nist.gov"

Extract from results:

  • CVSS Score (v3.1, v3.0, or v2.0)
  • Severity rating (CRITICAL/HIGH/MEDIUM/LOW)
  • Base score and vector string
  • Affected product/versions
  • CWE (Common Weakness Enumeration) ID
  • Published date and last modified date

MITRE CVE Database

Search query: "CVE-{ID} site:cve.mitre.org"
Example: "CVE-YYYY-NNNNN site:cve.mitre.org"

Extract from results:

  • CVE description (official)
  • References (links to advisories, patches, exploits)
  • CWE classification
  • Assigning CNA (CVE Numbering Authority)

Read the full file on GitHub · 477 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. 7d ago First seen · 477 lines · 16 tokens per session scan A cd929d4c8012

Subscribe to this mod's changes

CVE Intelligence Gathering is a skill published in the GitHub repository wangke19/gemini-ai-helpers (2 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 16 tokens to every session and 3,204 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to cve-intelligence-gathering, differing in 2 lines, and is treated as a copy.

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