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Analyze exploit intelligence for a vulnerability against the current repository

AI & Automation 2,987 stars 362 forks Updated 4 days ago MIT

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Quality Score: 99/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Vulnetix Exploit Analysis Skill This skill analyzes exploit intelligence for a specific vulnerability (CVE, GHSA, etc.) and assesses its impact against the current repository. **This skill does not modify application code** — it only updates `.vulnetix/memory.yaml` to track findings. Use `/vulnetix:fix` for remediation. ## Output & Analysis Guidelines **Primary output format:** Markdown. All reports, tables, assessments, and evidence summaries MUST be presented as formatted markdown text directly — never generate scripts or programs to produce output that can be expressed as markdown. **Visual data — use Mermaid diagrams** to display data visually when it aids comprehension. Mermaid renders natively in markdown and requires no external tools. Use it for: - Attack path / kill chain visualization → `graph TD` - CWSS factor breakdown → `pie` or `quadrantChart` - Exploit timeline (discovery dates, PoC releases) → `timeline` - Threat model reachability → `flowchart` (dependency → vulnerable code → exposure) - Priority comparison across multiple vulns → `bar` or `xychart-beta` Example — CWSS factor breakdown: ````markdown ```mermaid pie title CWSS Priority Factors (Score: 87.5) "Technical Impact (100)" : 25 "Exploitability (95)" : 25 "Exposure (100)" : 15 "Complexity (90)" : 15 "Repo Relevance (70)" : 20 ``` ```` Example — attack path: ````markdown ```mermaid graph LR A[Internet] -->|network| B[Web App] B -->|imports| C[log4j-core 2.14.1] C -...

Details

Author
davepoon
Repository
davepoon/buildwithclaude
Created
10 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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