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claude-code-pentest

Skill Security Usable

Automate the full pentest process with six Claude Code skills covering recon, exploit chains, and bug bounty report generation from any domain.

27 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces pentest cycle time by automating reconnaissance, exploit chain mapping, and vulnerability report generation. Enables security teams to scale assessment coverage without proportional headcount growth.

Security consultants and in-house pentest teams conducting code review and application security assessments at scale.

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https://github.com/KaQus/claude-code-pentest

By KaQus

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install KaQus/claude-code-pentest

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars27Last updated2026-05-20LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Community Pulse Growing

Discussed on Reddit

8 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 27 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 27 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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