Reverse Skill is a routing package for AI coding agents that selects appropriate reverse-engineering, penetration-testing, and security-research methods and tools for a given target. It is used for tasks involving APKs, binaries, frontend JavaScript, packet captures, CTF challenges, and authorized penetration testing. Its catalogue add-ons provide the skills and instructions that guide these workflows.
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 zhaoxuya520/reverse-skill --skill email-securitygit clone --depth 1 https://github.com/zhaoxuya520/reverse-skillWrote 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/zhaoxuya520/reverse-skill/email-security)<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/email-security"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/email-security.svg" alt="Measured on agentmods" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00035 | $0.00470 |
| Opus 5 | $0.00017 | $0.00235 |
| Sonnet 5 | $0.00007 | $0.00094 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
email-security 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- email-security — 100% identical, 0 lines differ
- email-security — 100% identical, 0 lines differ
What it actually says
Email Security & Phishing Analysis
ACTION REQUIRED（读完后立刻执行）
NOW: 确认授权（分析样本邮件 / 租户配置评审）NOW: 不向真实用户二次投递恶意样本ACT: 头认证 → 内容/URL → 附件沙箱 → 租户控制面建议
适用场景
- 钓鱼邮件拆解与 IOC
- SPF/DKIM/DMARC 配置评估
- BEC 商务邮件欺诈模式
- OAuth 应用钓鱼 / 邮箱令牌滥用（联合 llm/cloud 身份）
- 安全意识演练设计（授权）
工作流
□ 完整原始头：Received 链、From/Return-Path 一致性
□ SPF/DKIM/DMARC 对齐结果
□ URL 沙箱与附件静态（联合 malware-analysis）
□ 仿冒品牌与回复地址差异
□ 租户：反钓鱼策略、外部标记、MFA、OAuth app 同意
工具链
| 工具 | 用途 |
|---|---|
| 邮件客户端「查看源」 | 头 |
| dig/nslookup | SPF/DMARC 记录 |
| urlscan / 沙箱 | 链接与附件 |
| 租户管理中心 | 策略 |
参考
references/email-auth-checklist.md../malware-analysis/../attack-chain/（钓鱼阶段）../windows-ad/（令牌）
路由上下文
上游: MASTER R36
MUST NOT: 未授权对第三方域群发测试钓鱼
任务完成自检
- 头认证结论是否完整？
- IOC 是否可检测化（联合 threat-hunting）？
- Checklist？
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.
- 5d ago First seen · 55 lines · 35 tokens per session scan A fb8815157759
email-security is a skill published in the GitHub repository zhaoxuya520/reverse-skill (35,027 stars, last pushed 5d ago), licensed MIT. It adds 35 tokens to every session and 470 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 2026-09-03.
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