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 agentmods add skills/migoxlab/webqa-agent/nuclei-scannpx skills add MigoXLab/webqa-agent --skill nuclei-scangit clone --depth 1 https://github.com/MigoXLab/webqa-agentWrote 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/migoxlab/webqa-agent/nuclei-scan)<a href="https://agentmods.dev/skills/migoxlab/webqa-agent/nuclei-scan"><img src="https://agentmods.dev/badge/skills/migoxlab/webqa-agent/nuclei-scan.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 | $0.00019 | $0.00896 |
| Opus 5 | $0.00010 | $0.00448 |
| Sonnet 5 | $0.00004 | $0.00179 |
| Haiku 4.5 | $0.00002 | $0.00090 |
Grade A, and why
nuclei-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 5d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nuclei Scan Skill
Run a security vulnerability scan against the target URL using the built-in execute_nuclei_scan tool, and produce a structured security report.
Important: Before each tool call, output a short one-line description of what you are about to do (e.g. "Running smoke security scan on target URL"). This helps generate readable step-by-step reports.
Task wording: If the user asks for 基础 / 初步 / 基础安全漏洞 / 快速 / 冒烟 / CI 门禁-style coverage, assume they want time over breadth and use mode="smoke" (and state in the report that coverage is intentionally reduced). Only use mode="deep" when they ask for 全面 / 深度 / 穷尽 scans or comparable wording.
Prerequisites
execute_nuclei_scantool must be available (check the tool list).- If it is missing, report: "安全扫描不可用:execute_nuclei_scan 工具未加载。"
Phase 1: Run the Scan
Call execute_nuclei_scan with the target URL. You do not need to write raw shell commands; the tool automatically handles nuclei subprocess execution, JSONL parsing, and result summarization.
Choose a smoke or deep mode based on the user's prompt.
Example:
{
"url": "https://example.com",
"scan_types": "xss,sqli,cve",
"mode": "smoke"
}
Parameter notes:
url— the exact target URL.scan_types— Comma-separated classes of vulnerabilities (cve,xss,sqli,misconfig,exposure).mode—"smoke"for a fast scan (omits OAST templates, shorter timeouts),"deep"for a comprehensive scan (slower).
Do not run a second full Nuclei scan against the same URL and the same (or broader) -tags just to “confirm how many hits there are” or to “see if there was only one finding.” The first scan's output is the source of truth.
Phase 2: Report
The execute_nuclei_scan tool returns a pre-formatted, translated text summary grouped by severity (Critical, High, Medium, Low, Info), including template IDs, names, and affected URLs.
Structure your final step response to the user by echoing this formatted text. For example:
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.
- 5d ago First seen · 87 lines · 19 tokens per session scan A 3974d91a6cc9
nuclei-scan is a skill published in the GitHub repository MigoXLab/webqa-agent (230 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 19 tokens to every session and 896 once invoked, about $0.0001 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 2026-08-30.
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