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xss-vulnerability-scanner

Xss Vulnerability Scanner - Auto-activating skill for Security Fundamentals. Triggers on: xss vulnerability scanner, xss vulnerability scanner Part of the Security Fundamentals skill category.

34

1.00x

Quality

3%

Does it follow best practices?

Impact

86%

1.00x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/03-security-fundamentals/xss-vulnerability-scanner/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

80%

12%

Security Audit: Identify XSS Vulnerabilities in a Node.js Web App

npm-based XSS scanning pipeline

Criteria
Without context
With context

npm tool usage

0%

16%

Step-by-step process

0%

0%

Stored XSS identified

100%

100%

Reflected XSS identified

100%

100%

OWASP reference

0%

100%

Severity classification

100%

100%

HTML encoding in fix

100%

100%

Script injection fix

100%

100%

Production-ready code

100%

100%

Without context: $0.4100 · 2m 2s · 19 turns · 19 in / 7,439 out tokens

With context: $0.5733 · 2m 24s · 27 turns · 28 in / 8,566 out tokens

88%

-12%

Harden a User Profile Update Feature Against Injection Attacks

Input validation and XSS prevention

Criteria
Without context
With context

npm package for encoding

100%

0%

HTML body encoding

100%

100%

URL attribute safety

100%

100%

Title tag encoding

100%

100%

Complete module

100%

100%

Identifies stored XSS

100%

100%

Multiple context coverage

100%

100%

OWASP or industry reference

100%

100%

No raw string interpolation for user data

100%

100%

Without context: $0.3510 · 1m 45s · 20 turns · 20 in / 5,344 out tokens

With context: $0.5540 · 2m 22s · 30 turns · 65 in / 7,529 out tokens

90%

Security Review for a Community Blog Platform

OWASP-aligned security assessment

Criteria
Without context
With context

npm tool in scan-commands

100%

100%

Step-by-step methodology

0%

0%

XSS findings identified

100%

100%

Authentication weakness identified

100%

100%

Input validation coverage

100%

100%

OWASP standard mapping

100%

100%

Machine-readable findings

100%

100%

Severity assigned to each

100%

100%

Multiple security domains

100%

100%

Remediation per finding

100%

100%

Without context: $0.4332 · 2m 10s · 18 turns · 19 in / 7,902 out tokens

With context: $0.5524 · 2m 11s · 26 turns · 283 in / 8,243 out tokens

Repository
jeremylongshore/claude-code-plugins-plus-skills
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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