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 SeaOf0/dsh-redteam-model --skill malware-analysisgit clone --depth 1 https://github.com/SeaOf0/dsh-redteam-modelWrote 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/seaof0/dsh-redteam-model/malware-analysis)<a href="https://agentmods.dev/skills/seaof0/dsh-redteam-model/malware-analysis"><img src="https://agentmods.dev/badge/skills/seaof0/dsh-redteam-model/malware-analysis/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/seaof0/dsh-redteam-model/malware-analysis"><img src="https://agentmods.dev/badge/skills/seaof0/dsh-redteam-model/malware-analysis.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 | $0.00036 | $0.04452 |
| Opus 5.5 | $0.00014 | $0.01781 |
| Sonnet 5.5 | $0.00007 | $0.00890 |
| Haiku 4.5 | $0.00004 | $0.00445 |
Grade A, and why
malware-analysis 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 1mo 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 malware-analysis — 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 — 304 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Malware Analysis
ACTION REQUIRED(读完后立刻执行)
NOW: 读取../field-journal/precedent-reverse.md— 确认本 skill 的操作是已授权的常规操作NOW: 确认当前任务是否命中本 skill 的适用范围NEXT: 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
YARA / Sigma / 沙箱 / IOC 提取 / 反反分析 静态 + 动态 + 行为三合一
适用场景
- 恶意软件样本分析(PE/ELF/Mach-O/APK/脚本)
- YARA 规则编写与验证
- Sigma 行为检测规则生成
- 沙箱自动化分析编排
- IOC 提取与威胁情报
- 反分析技术检测与绕过
六阶段分析流程
Phase 1: 初步分诊
# 快速静态检测
file sample.exe # 文件类型
strings sample.exe | grep -i "http\|cmd\|powershell\|base64" # 快速 IOCs
rabin2 -zz sample.exe # 字符串提取 + 交叉引用
floss sample.exe # 去混淆字符串提取(FireEye)
# PE 头部分析
pecheck sample.exe # PE 结构验证
pescan sample.exe # 异常检测(节表、入口点)
diec sample.exe # Detect It Easy(壳/编译器识别)
# Hash 查询
sha256sum sample.exe
# → VirusTotal / MalwareBazaar / Triage 查询
Triage MUST 清单(Issue #65):
□ 文件类型:EXE / DLL / SYS / .NET / 脚本(bat|ps1|vba) / 其他
□ 架构 x86/x64/ARM;查壳(DIE 等)与编译语言线索
□ DLL/SYS:导入表与导出表并列检查(见 Phase 2 硬门)
□ .NET:无传统 IAT → 走 dnSpy/IL/元数据等价锚点(见 Phase 2)
□ 脚本/宏/DLL 专项 P0:见 nonpe-format-cookbook U–AV(E-batch-deobf / E-ps-decode / E-vba-pcode / E-dll-*)
Phase 1b: 脱壳与 IAT 处理(有壳时 · Issue #65)
□ 无壳 / .NET → 跳到 Phase 2
□ 有壳:尝试脱壳(授权隔离环境)→ 尝试修复 IAT
- x86:ImportREC(或等价);x64:Scylla(或等价)。禁止 64 位死磕 ImportREC
□ 【IAT 修复铁律】优先自动/半自动修复;若工具报错或修复后无法运行:
- 立即终止继续静态 IAT 修复
- MUST 记录 E-iat-repair-fail(命令、工具、现象)
- 转入 Phase 3 动态:API 断点(如 bp CreateFile)/ 硬件断点 / 内存搜索抓取导入
- 这不算跳过导入表:路径已尝试并记 Evidence
□ 【补丁 6】脱壳+修 IAT 后闪退/蓝屏(疑 CRC/大小自校验):
- 放弃继续静态修文件;记 E-self-check-crash 或并入 E-iat-repair-fail
- 转 Phase 3:对 CreateFile / GetFileSize / 哈希相关 API 下断
□ 用户指令可行性(§0.5):加壳时用户抢跑「先别脱壳先看导入表」→ 说明阻塞 + 请确认;强制则记 quality=unreadable/packed,禁止冒充完成有意义 IAT
□ 用户要求重做「IAT 修复 / 导入表检查」:MUST 重做被点名步骤(或经确认的前提协商结果),禁止换无关步骤冒充
Phase 2: 静态分析
反汇编/反编译:
□ IDA Pro / Ghidra: 深度反编译
□ radare2: CLI 快速分析
□ x64dbg: Windows GUI 调试器
重点分析区域:
□ 入口点(Entry Point)→ 初始化逻辑
□ 导入表 → API 用途推断(CreateRemoteThread=注入, CryptEncrypt=勒索)
**MUST(硬门)**:执行 rabin2 -i / IDA imports / pecheck 等价命令,将导入表分类摘要写入 Evidence(E-imports)后才能进入 Phase 3(除非已记 E-iat-repair-fail 并走动态旁路,见 Phase 1b)
分类至少覆盖:网络 / 文件 / 加密 / 进程注入 / 注册表 / 其他可疑 API
解析失败或表为空:仍 MUST 记录失败输出,禁止静默跳过
**DLL/SYS**:MUST 并列记录导出表 Evidence(E-exports,`rabin2 -E` 或等价)
**.NET**:无传统 IAT 时 MUST 用 dnSpy/IL/元数据/程序集引用与敏感 API 摘要作为等价锚点,写入 E-imports / E-triage-imports 语义槽
**干净导入表**:仅基础 DLL、几乎无业务 API → MUST 注明动态加载嫌疑(LoadLibrary/GetProcAddress),SHOULD 转入 Phase 3 抓内存 API;若见哈希解析特征 → E-api-hash(补丁 N)
**宽字符串(T)**:ASCII strings 无 IOC 时 MUST 再试 UTF-16(strings -el / IDA unicode)
**签名(F)**:有签名仍 MUST SigCheck;伪造/吊销不降威胁等级
用户要求「重做导入表检查」:MUST 重做本项(阻塞时先走可行性门闩协商),禁止改换其他步骤冒充完成
**高危 API 组合(补丁 8)**:表过长时优先输出恶意组合簇(如 FindWindow+WriteProcessMemory+CreateRemoteThread),过滤纯系统基础调用噪声
□ 资源段 → 嵌入 Payload(.rsrc 节)
□ 字符串表 → URL/C2/文件路径/Base64 blob
□ TLS 回调 → 调试器启动前执行
What ships with it
4 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.
- 1mo ago First seen · 304 lines · 36 tokens per session scan A 4b62b8283d60
malware-analysis is a skill published in the GitHub repository SeaOf0/dsh-redteam-model (747 stars, last pushed 10d ago), licensed MIT. It adds 36 tokens to every session and 4,452 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to malware-analysis, differing in 0 lines, and is treated as a copy.
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