multiAI Summary Pending
cyber-owasp-review
Map application security findings to OWASP Top 10 categories and generate remediation checklists. Use for normalized AppSec review outputs and category-level prioritization.
3,556 stars
byopenclaw
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/cyber-owasp-review/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/0x-professor/cyber-owasp-review/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/cyber-owasp-review/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How cyber-owasp-review Compares
| Feature / Agent | cyber-owasp-review | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Map application security findings to OWASP Top 10 categories and generate remediation checklists. Use for normalized AppSec review outputs and category-level prioritization.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Cyber OWASP Review ## Overview Normalize application security findings into OWASP categories and produce remediation actions. ## Workflow 1. Ingest raw findings from scanners, tests, or reviews. 2. Map findings to OWASP categories using keyword and context matching. 3. Aggregate findings by category and severity. 4. Produce category-specific remediation checklist output. ## Use Bundled Resources - Run `scripts/map_findings_to_owasp.py` for deterministic mapping. - Read `references/owasp-mapping-guide.md` for category heuristics. ## Guardrails - Keep guidance remediation-focused. - Do not provide exploit payloads or offensive attack playbooks.