cve-poc-generator
CVE research, standalone PoC script and report generation. Given a CVE ID, researches NVD and advisories, generates a safe Python PoC, and writes a detailed vulnerability report.
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Static analysis is a first line of defense, not a guarantee. Read the source
SKILL.md
CVE PoC Generator
Research a CVE by ID, generate a standalone Python proof-of-concept script, and produce a detailed vulnerability report.
Workflow
- NVD Lookup - Query NVD API v2.0 for the CVE ID (
python3 tools/nvd-lookup.py <CVE>). Extract the CVSS score/vector using the v4.0-primary ladder (v4.0 → v3.1 → v3.0 → v2.0; the tool'sJSON_SUMMARYexposescvss_version+cvss_vector), plus CWE IDs, CPE matches, advisory URLs, and patch links. - Advisory Research - Deep-dive vendor advisories, GitHub security advisories, Exploit-DB, and published write-ups. Identify root cause, affected versions, and attack vector details.
- PoC Generation - Write a standalone Python script (
poc.py) that demonstrates the vulnerability safely. Follow the script standards inreference/poc-methodology.md. - Report Generation - Write a comprehensive markdown report (
report.md) with metadata, root cause analysis, risk assessment, and remediation guidance.
NVD Data to Collect
| Field | Source | Usage |
|---|---|---|
| CVE ID | NVD | Primary identifier |
| CVSS Score + Vector (v4.0 primary; v3.1/v3.0/v2.0 fallback) | NVD | Risk scoring |
| CWE ID(s) | NVD | Vulnerability classification |
| CPE Matches | NVD | Affected products and versions |
| Advisory URLs | NVD references | Research sources |
| Patch Links | NVD references / vendor | Remediation guidance |
| Description | NVD | Vulnerability summary |
| Published / Modified dates | NVD | Timeline |
Output
{OUTPUT_DIR}/
artifacts/cve-pocs/CVE-XXXX-XXXXX/
poc.py # Standalone Python PoC script
reports/cve-pocs/CVE-XXXX-XXXXX/
report.md # Detailed vulnerability report
Invocation
/cve-poc-generator CVE-2024-XXXXX
The skill accepts a single CVE ID as argument. Multiple CVEs should be processed with separate invocations.
Rules
- Least harm - PoC scripts MUST demonstrate vulnerability without causing damage. Use detection/verification checks, not destructive payloads.
- Standalone scripts - PoC must run independently with only standard Python libraries plus
requests. No framework dependencies. - Accurate scoring - Use the exact CVSS score and vector from NVD. Do not fabricate or estimate scores.
- Source attribution - Every claim in the report must cite its source (NVD, vendor advisory, CVE description).
- No emoji - Use text severity labels only (CRITICAL, HIGH, MEDIUM, LOW, INFORMATIONAL).
- Verified data only - Do not hallucinate CVE details. If NVD data is unavailable, state it explicitly.
- Safe defaults - PoC scripts must default to read-only, non-destructive operations. Any potentially harmful action requires explicit
--confirmflag.
Files
2- SKILL.md
793ba897d52.9 KB - reference/poc-methodology.md
296c030ee17.9 KB
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