safety-review
CommandRun an AI safety review for a feature/model — harms, evaluations, guardrails, and a documented safety case.
Run an authorized penetration test end-to-end, chaining recon, testing, and reporting skills into one flow.
> /plugin marketplace add jassics/awesome-claude-security
description: Run an authorized penetration test end-to-end, chaining recon, testing, and reporting skills into one flow. argument-hint: [scope / target + rules of engagement]
Run an **authorized** penetration test for: **$ARGUMENTS**
First confirm authorization and scope (targets, exclusions, rules of engagement, timing). If scope is unclear, ask before touching anything.
Then walk the engagement, using the installed skills at each phase (skip any whose plugin isn't installed, and say so):
1. **Scope & plan** — `/pentester:recon` to frame the engagement and methodology (PTES / OWASP WSTG / NIST 800-115). 2. **Recon** — `/osint:osint-footprinting` and `/osint:exposure-discovery` to map the external attack surface. 3. **Model** — quick `/threat-modeling:stride` pass to prioritize where to test. 4. **Test** — by asset type: `/web-app-security:owasp-web-top10`, `/web-app-security:access-control-test`, `/web-app-security:injection-test`, `/network-security:network-pentest`, `/api-security:owasp-api-top10` as applicable. 5. **Prioritize** — `/vulnerability-management:vulnerability-prioritization` (CVSS/EPSS/KEV + asset context) to rank what you found. 6. **Report** — `/security-reporting:pentest-report` for the writeup; `/security-diagramming:attack-tree` for the kill-chain visual; optionally `/security-integrations:publish-finding-to-jira`.
For deep, multi-step execution of any phase, hand off to the `pentester` agent. Keep evidence for every finding and stay strictly within scope.
A Claude Code plugin marketplace for the full cybersecurity & GenAI-security lifecycle — from recon and threat modeling to detection engineering, GRC, and CISO-level strategy. A pentester knows which OWASP test bends a broken-access-control endpoint.
Run an AI safety review for a feature/model — harms, evaluations, guardrails, and a documented safety case.
Run a threat-informed defense cycle for a technique or threat — coverage check, hunt, detection, and purple-team validation.
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