ai-threat-testing
Offensive AI security testing and exploitation framework. Systematically tests LLM…
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.
$ npx -y skills add transilienceai/communitytools --skill cve-poc-generator --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/cve-poc-generatorContext preview
The summary Claude sees to decide when to auto-load this skill.
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.
name: cve-poc-generator description: 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.
Research a CVE by ID, generate a standalone Python proof-of-concept script, and produce a detailed vulnerability report.
1. **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's `JSON_SUMMARY` exposes `cvss_version` + `cvss_vector`), plus CWE IDs, CPE matches, advisory URLs, and patch links. 2. **Advisory Research** - Deep-dive vendor advisories, GitHub security advisories, Exploit-DB, and published write-ups. Identify root cause, affected versions, and attack vector details. 3. **PoC Generation** - Write a standalone Python script (`poc.py`) that demonstrates the vulnerability safely. Follow the script standards in `reference/poc-methodology.md`. 4. **Report Generation** - Write a comprehensive markdown report (`report.md`) with metadata, root cause analysis, risk assessment, and remediation guidance.
| 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_DIR}/
artifacts/cve-pocs/CVE-XXXX-XXXXX/
poc.py # Standalone Python PoC script
reports/cve-pocs/CVE-XXXX-XXXXX/
report.md # Detailed vulnerability report/cve-poc-generator CVE-2024-XXXXX
The skill accepts a single CVE ID as argument. Multiple CVEs should be processed with separate invocations.
1. **Least harm** - PoC scripts MUST demonstrate vulnerability without causing damage. Use detection/verification checks, not destructive payloads. 2. **Standalone scripts** - PoC must run independently with only standard Python libraries plus `requests`. No framework dependencies. 3. **Accurate scoring** - Use the exact CVSS score and vector from NVD. Do not fabricate or estimate scores. 4. **Source attribution** - Every claim in the report must cite its source (NVD, vendor advisory, CVE description). 5. **No emoji** - Use text severity labels only (CRITICAL, HIGH, MEDIUM, LOW, INFORMATIONAL). 6. **Verified data only** - Do not hallucinate CVE details. If NVD data is unavailable, state it explicitly. 7. **Safe defaults** - PoC scripts must default to read-only, non-destructive operations. Any potentially harmful action requires explicit `--confirm` flag.
Open-source Claude Code skills and agents for AI-powered penetration testing, bug bounty hunting, AI threat testing, and security reconnaissance — from the team at Transilience.ai
Repo: transilienceai/communitytools
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