Anything Analyzer is a protocol-analysis toolkit that captures traffic from browsers, desktop and terminal programs, scripts, mobile devices, and other equipment, then uses AI to analyze the resulting requests. It combines browser capture, MITM proxying, JavaScript hooks, fingerprint spoofing, and MCP integration so AI agents and IDEs can inspect APIs, encryption, security issues, and service calls. The catalogue skills expose these capture and analysis workflows to agent tools.
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 Mouseww/anything-analyzer --skill docs-generatorgit clone --depth 1 https://github.com/Mouseww/anything-analyzerWrote 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/mouseww/anything-analyzer/docs-generator)<a href="https://agentmods.dev/skills/mouseww/anything-analyzer/docs-generator"><img src="https://agentmods.dev/badge/skills/mouseww/anything-analyzer/docs-generator/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/mouseww/anything-analyzer/docs-generator"><img src="https://agentmods.dev/badge/skills/mouseww/anything-analyzer/docs-generator.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 | $0.00088 | $0.02206 |
| Opus 5.5 | $0.00035 | $0.00882 |
| Sonnet 5.5 | $0.00018 | $0.00441 |
| Haiku 4.5 | $0.00009 | $0.00221 |
Grade A, and why
docs-generator 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 9d 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 docs-generator — 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 — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Documentation
ACTION REQUIRED（读完后立刻执行）
NOW：确认当前任务是否命中本 skill 的适用范围NOW：读取../tool-index.md，校验工具可用性和实际路径NEXT：缺工具时调用 bootstrap，不要猜路径ACT：进入"工作流"第一步并执行，不要停在确认状态
For writing style, tone, and voice guidance, use Skill(ce:writer) with The Engineer persona.
安全/逆向任务文档输出
当逆向/渗透/CTF/安全分析任务完成后，本 skill 负责在用户项目目录生成正式技术文档。
触发时机
- 逆向任务完成，已产出核心结论（算法还原、签名破解、绕过方案等）
- 渗透测试完成，已发现并验证漏洞
- CTF 题目解出，已拿到 flag
- 用户明确要求"写一份报告/文档/writeup"
模板选择
| 任务类型 | 使用模板 |
|---|---|
| APK/二进制/so 逆向 | references/security-report-templates.md → 逆向工程报告 |
| 渗透测试/漏洞挖掘 | references/security-report-templates.md → 渗透测试报告 |
| CTF 解题 | references/security-report-templates.md → CTF Writeup |
| JS/Web 签名逆向 | references/security-report-templates.md → 签名逆向报告 |
| 恶意软件 / APT / 病毒分析报告 | references/security-report-templates.md + references/vendor-report-rules.md |
| 通用技术文档 | references/templates.md → README / API 文档 |
厂商报告结构（Issue #65）
安全类正式报告 MUST 读取 references/vendor-report-rules.md（只取结构，不抄厂商原文）。仅在任务证据或用户明确要求时选择厂商 flavor；普通逆向和其他任务使用 flavor = null。
| Flavor / Overlay | 何时用 | 主参考骨架 |
|---|---|---|
malware |
明确恶意样本、木马、白加黑、钓鱼投毒 | 火绒式：概述→流程→样本分析→应急处置→IOC |
apt |
APT/战役/团伙/多阶段感染链/行业定向 | 卡巴斯基 Securelist 式：摘要→感染链→调查叙事→Interesting findings→技术分析→检测缓解→IOC |
flavor = null |
普通 APK/ELF/PE/Mach-O 逆向、算法/固件分析、渗透 / CTF / JS 签名 | 原任务模板 + Base 通用元素；不套 malware/APT 专属章节 |
thin vuln |
用户明确要求漏洞/补丁/CVE 技术分析 | 概述→影响/复现→崩溃与补丁分析→防护建议（叠加在 null 上，非第 3 默认全文 flavor） |
原则：模板在精不在多 —— 仅 2 个厂商全文 flavor；vuln 仅为可选 thin overlay，不另建第三套默认全文模板。
与 §0 Evidence→Finding→Path 同时生效；冲突时 Evidence 契约优先。
输出规范
- 输出位置：用户当前项目目录（不是 skill 包目录）
- 文件名格式：
YYYY-MM-DD_[类型]-[目标简称]-report.md - 如果项目有
docs/目录：优先放在docs/下 - 编码：UTF-8
- 语言：跟随用户对话语言（中文对话出中文报告，英文对话出英文报告）
质量要求
- 所有代码块必须可直接运行或有明确上下文
- 不要有 placeholder/TODO
- 关键发现必须有证据支撑
- 复现步骤必须让第三方能独立重现
- 敏感信息（真实 token、密码、内部 URL）用占位符替代
- MUST 包含 Evidence → Finding → Path 链（见
../ops/evidence-finding-path.md与模板 §0） - MUST 读取
references/vendor-report-rules.md：选定malware/apt或flavor = null（漏洞任务可叠加 thinvuln）；无 flavor 时只输出原任务模板和适用的 Base 元素，不强制 IOC/ATT&CK - SHOULD 引用 case
scope.md/timeline.md（../scripts/case-init.ps1）
What ships with it
3 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.
- 9d ago First seen · 192 lines · 88 tokens per session scan A 1ceb99a41426
docs-generator is a skill published in the GitHub repository Mouseww/anything-analyzer (3,775 stars, last pushed 10d ago), licensed Apache-2.0. It adds 88 tokens to every session and 2,206 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to docs-generator, differing in 0 lines, and is treated as a copy.
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