Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add tmolavi/mcp-agent-skills-hub --skill frontend-mobile-security-xss-scangit clone --depth 1 https://github.com/tmolavi/mcp-agent-skills-hubWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/frontend-mobile-security-xss-scan)<a href="https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/frontend-mobile-security-xss-scan"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/frontend-mobile-security-xss-scan/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/frontend-mobile-security-xss-scan"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/frontend-mobile-security-xss-scan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00046 | $0.02132 |
| Opus 5 | $0.00023 | $0.01066 |
| Sonnet 5 | $0.00009 | $0.00426 |
| Haiku 4.5 | $0.00005 | $0.00213 |
Grade A, and why
frontend-mobile-security-xss-scan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to frontend-mobile-security-xss-scan — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.
XSS Vulnerability Scanner for Frontend Code
You are a frontend security specialist focusing on Cross-Site Scripting (XSS) vulnerability detection and prevention. Analyze React, Vue, Angular, and vanilla JavaScript code to identify injection points, unsafe DOM manipulation, and improper sanitization.
Use this skill when
- Working on xss vulnerability scanner for frontend code tasks or workflows
- Needing guidance, best practices, or checklists for xss vulnerability scanner for frontend code
Do not use this skill when
- The task is unrelated to xss vulnerability scanner for frontend code
- You need a different domain or tool outside this scope
Context
The user needs comprehensive XSS vulnerability scanning for client-side code, identifying dangerous patterns like unsafe HTML manipulation, URL handling issues, and improper user input rendering. Focus on context-aware detection and framework-specific security patterns.
Requirements
$ARGUMENTS
Instructions
1. XSS Vulnerability Detection
Scan codebase for XSS vulnerabilities using static analysis:
interface XSSFinding {
file: string;
line: number;
severity: 'critical' | 'high' | 'medium' | 'low';
type: string;
vulnerable_code: string;
description: string;
fix: string;
cwe: string;
}
class XSSScanner {
private vulnerablePatterns = [
'innerHTML', 'outerHTML', 'document.write',
'insertAdjacentHTML', 'location.href', 'window.open'
];
async scanDirectory(path: string): Promise<XSSFinding[]> {
const files = await this.findJavaScriptFiles(path);
const findings: XSSFinding[] = [];
for (const file of files) {
const content = await fs.readFile(file, 'utf-8');
findings.push(...this.scanFile(file, content));
}
return findings;
}
scanFile(filePath: string, content: string): XSSFinding[] {
const findings: XSSFinding[] = [];
findings.push(...this.detectHTMLManipulation(filePath, content));
findings.push(...this.detectReactVulnerabilities(filePath, content));
findings.push(...this.detectURLVulnerabilities(filePath, content));
findings.push(...this.detectEventHandlerIssues(filePath, content));
return findings;
}
detectHTMLManipulation(file: string, content: string): XSSFinding[] {
const findings: XSSFinding[] = [];
const lines = content.split('\n');
lines.forEach((line, index) => {
if (line.includes('innerHTML') && this.hasUserInput(line)) {
findings.push({
file,
line: index + 1,
severity: 'critical',
type: 'Unsafe HTML manipulation',
vulnerable_code: line.trim(),
description: 'User-controlled data in HTML manipulation creates XSS risk',
fix: 'Use textContent for plain text or sanitize with DOMPurify library',
cwe: 'CWE-79'
});
}
});
return findings;
}
detectReactVulnerabilities(file: string, content: string): XSSFinding[] {
const findings: XSSFinding[] = [];
const lines = content.split('\n');
lines.forEach((line, index) => {
if (line.includes('dangerously') && !this.hasSanitization(content)) {
findings.push({
file,
line: index + 1,
severity: 'high',
type: 'React unsafe HTML rendering',
vulnerable_code: line.trim(),
description: 'Unsanitized HTML in React component creates XSS vulnerability',
fix: 'Apply DOMPurify.sanitize() before rendering or use safe alternatives',
cwe: 'CWE-79'
});
}
});
return findings;
}
detectURLVulnerabilities(file: string, content: string): XSSFinding[] {
const findings: XSSFinding[] = [];
const lines = content.split('\n');
lines.forEach((line, index) => {
if (line.includes('location.') && this.hasUserInput(line)) {
findings.push({
file,
line: index + 1,
severity: 'high',
type: 'URL injection',
vulnerable_code: line.trim(),
description: 'User input in URL assignment can execute malicious code',
fix: 'Validate URLs and enforce http/https protocols only',
cwe: 'CWE-79'
});
}
});
return findings;
}
hasUserInput(line: string): boolean {
const indicators = ['props', 'state', 'params', 'query', 'input', 'formData'];
return indicators.some(indicator => line.includes(indicator));
}
hasSanitization(content: string): boolean {
return content.includes('DOMPurify') || content.includes('sanitize');
}
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 323 lines · 46 tokens per session scan A eb86b9c2de2b
frontend-mobile-security-xss-scan is a skill published in the GitHub repository tmolavi/mcp-agent-skills-hub (8 stars, last pushed 16d ago), licensed MIT. It adds 46 tokens to every session and 2,132 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to frontend-mobile-security-xss-scan, differing in 0 lines, and is treated as a copy.
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