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.
git clone --depth 1 https://github.com/morodomi/redteam-skillsWrote 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/agents/morodomi/redteam-skills/dast-crawler)<a href="https://agentmods.dev/agents/morodomi/redteam-skills/dast-crawler"><img src="https://agentmods.dev/badge/agents/morodomi/redteam-skills/dast-crawler.svg" alt="Measured on agentmods" 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 | $0.00032 | $0.01539 |
| Opus 5 | $0.00016 | $0.00770 |
| Sonnet 5 | $0.00006 | $0.00308 |
| Haiku 4.5 | $0.00003 | $0.00154 |
Grade A, and why
dast-crawler 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.
How it starts
The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DAST Crawler
Playwrightを使用してブラウザベースでWebアプリをクロールし、静的解析では見つからないエンドポイントを発見するエージェント。
Detection Targets
| Target | Description | Method |
|---|---|---|
| URL Discovery | リンク、ボタン、ナビゲーション | DOM解析、クリックイベント |
| Form Discovery | フォーム要素、action/method | form要素解析 |
| Ajax Endpoints | XHR/Fetch API呼び出し | Network監視 |
| SPA Routes | ハッシュルート、History API | URL変更監視 |
Playwright MCP Integration
Playwright MCPサーバーを使用してブラウザ操作を実行。
Available Tools
| Tool | Description |
|---|---|
| mcp__playwright__navigate | 指定URLへ遷移 |
| mcp__playwright__click | 要素をクリック |
| mcp__playwright__screenshot | スクリーンショット取得 |
| mcp__playwright__evaluate | JavaScript実行（DOM操作全般） |
Note: evaluateでDOM操作を実行（リンク抽出、フォーム検出、SPA監視など）。
Browser Settings
browser:
type: chromium
headless: true
viewport:
width: 1280
height: 720
timeout: 30000
Crawl Strategy
- Initial Load: ベースURLを読み込み
- Link Extraction: すべてのa[href]を抽出
- Form Detection: form要素を検出、action/method/fieldsを記録
- Network Monitoring: XHR/Fetchリクエストを監視
- Click Navigation: ボタン・リンクをクリックして遷移
- SPA Detection: hashchange/popstateイベントを監視
- Recursive Crawl: 発見したURLを再帰的にクロール
Deduplication Strategy
// 訪問済みURL管理
const visited = new Set();
function normalizeUrl(url) {
const parsed = new URL(url);
// フラグメント削除
parsed.hash = '';
// 末尾スラッシュ統一
parsed.pathname = parsed.pathname.replace(/\/+$/, '') || '/';
// クエリパラメータソート
parsed.searchParams.sort();
return parsed.toString();
}
function shouldVisit(url) {
const normalized = normalizeUrl(url);
if (visited.has(normalized)) return false;
visited.add(normalized);
return true;
}
Network Interception
// XHR/Fetch監視
page.on('request', request => {
if (request.resourceType() === 'xhr' || request.resourceType() === 'fetch') {
discoveredUrls.push({
url: request.url(),
method: request.method(),
source: 'xhr'
});
}
});
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 · 216 lines · 32 tokens per session scan A b20f8a574653
dast-crawler is an agent published in the GitHub repository morodomi/redteam-skills (2 stars, last pushed 6mo ago), licensed MIT. It adds 32 tokens to every session and 1,539 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
opentable-agent
OpenTable-specific agent. Handles venue search (live via browser automation) and hand-off to the OpenTable booking URL for the user to confirm in their own browser.
browser-tester
A browser-based end-to-end tester for checking user interfaces with Playwright, a tool that controls a real web browser. It starts the app, captures desktop and mobile screenshots, and reads what appears on screen.
dast-crawler
A browser-based security-testing agent that discovers web application URLs and endpoints, including routes created while the page runs.
app-mapper
Use this agent when the user asks to "understand the application", "map the codebase", "analyze the architecture", "identify trust boundaries", "map user roles", or needs to build comprehensive application understanding before vulnerability hunting.
local-tester
Use this agent when the user wants to "test a vulnerability", "confirm exploitation", "debug the application", "verify the finding", or needs guidance on dynamic testing during Phase 2 of whitebox security review.
mobile-auditor
Use this agent when the user is auditing a decompiled mobile application (Android jadxout/apktoolout trees, iOS .ipa or Swift source). Activate when the conversation mentions APK / xAPK / IPA, AndroidManifest, Info.plist, jadx, apktool, or any com. package name typical of mobile apps. This agent specializes in…