Agent skill

Malware Analysis

by sickn33 in sickn33/agentic-awesome-skills

Analyze suspected malware through static, dynamic, and behavioral techniques: IOC extraction, YARA/Sigma rule authoring, sandbox orchestration, and anti-analysis detection.

MITAuto-check passedSecurity

Install Malware Analysis

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill malware-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills malware-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/malware-analysis .claude/skills/malware-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
malware-analysis
GitHub stars
47k
Used in
1 other repo
Token cost
~2.5k tokens
SKILL.md length
262 words
Files
4 (incl. references)
Skills in repo
1,394
Repo updated
First seen
Licence
MIT

At a glance

Analyze suspected malware through static, dynamic, and behavioral techniques: IOC extraction, YARA/Sigma rule authoring, sandbox orchestration, and anti-analysis detection.

  • Works in 6 steps: 初步分诊 → 静态分析 → 沙箱动态分析 → …
  • Tasks that involve Reverse engineering and malware
  • SKILL.md covers When to Use, 适用场景, 六阶段分析流程 and 反分析技术速查, plus 5 more sections
  • Calls pip

What it does

Malware Analysis is an agent skill from sickn33/agentic-awesome-skills. Analyze suspected malware through static, dynamic, and behavioral techniques: IOC extraction, YARA/Sigma rule authoring, sandbox orchestration, and anti-analysis detection.

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/anti-analysis-techniques.md`, `references/sandbox-orchestration.md` and `references/yara-sigma-rules.md`).

It sits in Security, covering Reverse engineering and malware. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Tasks that involve Reverse engineering and malware

Example prompts

  • “/malware-analysis”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. 初步分诊
  2. 静态分析
  3. 沙箱动态分析
  4. YARA 规则编写
  5. Sigma 规则生成
  6. IOC 提取与情报

What it can do on your machine

Read from SKILL.md and the folder at commit 1e53ce2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Malware Analysis loads about 2.5k tokens when it runs, and up to ~6.9k if it reads all its reference files. Until then it costs about 47 tokens; SKILL.md has 262 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 262 words, ~2,502 tokens.

Download SKILL.mdSave it as .claude/skills/malware-analysis/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
malware-analysis
description
Analyze suspected malware through static, dynamic, and behavioral techniques: IOC extraction, YARA/Sigma rule authoring, sandbox orchestration, and anti-analysis detection.
risk
safe
source
https://github.com/zhaoxuya520/reverse-skill
source_repo
zhaoxuya520/reverse-skill
source_type
community
date_added
2026-08-25
license
MIT
license_source
https://github.com/zhaoxuya520/reverse-skill/blob/main/LICENSE

Malware Analysis

When to Use

  • Triaging a suspicious sample in a controlled environment.
  • Producing detections (YARA/Sigma) from observed behavior.

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
bash
# 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
text
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)
text
□ 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
text
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
Phase 3: 沙箱动态分析
text
自动化沙箱:
□ Joe Sandbox / ANY.RUN / Triage: 商业沙箱
□ CAPE Sandbox: 开源 + YARA 集成(推荐)
□ ASD Azul: 开源恶意软件分析平台(2026 新发布)
□ Cuckoo Sandbox: 经典开源(逐步被 CAPE 取代)

调试起手式(补丁 7+10 · MUST 顺序,用户态调试器):
□ ① TLS 回调断点 → ② 入口点 EP 断点 → ③ 敏感 API 断点 → ④ ExitProcess/退出路径保底断点
□ ExitProcess 触发时:不急着重启;立即 dump memory,路径写入 Evidence(补丁 10)

监控重点:
□ 进程创建: CreateProcess / ShellExecute
□ 文件操作: WriteFile → 勒索? DeleteFile → Wiper?
□ 注册表: Run/RunOnce 持久化
□ 网络: HTTP/DNS → C2 通信
□ 内存: VirtualAllocEx → 进程注入
□ 服务: CreateService → 持久化
□ IAT 修复失败 / 自校验闪退样本:敏感 API + CreateFile/GetFileSize 断点 / 硬件执行断点 / 内存搜索

无行为应急分支(MUST):
□ 沙箱无行为、秒退或无限休眠 → 检查反调试/反虚拟机(CPUID、计时、环境特征)
□ 尝试硬件断点绕过、补丁检测点、或换物理机/更高保真环境
□ 将「无行为 + 条件」写入 Evidence;禁止无条件写成「样本无害」

时间盒(补丁 9 · SHOULD 默认,可覆盖):
□ 静态深挖约 15 分钟无关键路径 → 强制转入本 Phase 动态
□ 动态单步约 200 条指令无恶意线索 → 强制回静态字符串/交叉引用重锚

反调试/混淆旁路(Issue #65 A–T · 详见 reverse-engineering/anti-analysis.md 菜谱):
□ P0:CPUID / RDTSC / PEB / NtQueryInformationProcess → 记录检测点后 lab 绕过或换环境(E-anti-debug-*)
□ P0:干净 IAT → API 哈希动态解析(bp GetProcAddress,E-api-hash)
□ P0:strings 空 → 串解密例程 + 宽字符串 UTF-16(E-string-decrypt / E-wide-strings)
□ P0:可疑签名 → SigCheck;无效/吊销不降威胁(E-sig-forge)
□ P1:进程名扫描 / VEH / int3·DR / 重叠节 / Overlay / .rsrc / Delay-Load
□ H/S 平坦化与不透明谓词 → ollvm-deobfuscation.md(不在此复制长文)
□ 绕过失败也写 Evidence;禁止反调试退出 = 样本无害

非 PE / 脚本 / DLL 补洞(Issue #65 U–AV · 详见 reverse-engineering/references/nonpe-format-cookbook.md):
□ bat/cmd:SET 拼接还原(U)→ E-batch-deobf;UTF-16 BOM(V);REM/GOTO 淹没(W)
□ PowerShell:多层 Base64/Gzip(X)逐层 Evidence;IEX 拼接/反转(Z)  # security-allowlist: SEC005
□ VBA:Stomping/P-Code(AA);Chr/Base64(AB);自修改宏(AC)
□ DLL:TLS+DllMain(AJ);导出异常/无导出(AK/AL);Delay-Load 见 A–T R(AM);侧加载/反射(AO/AP)
□ JS/APK/驱动:路由 js-reverse / apk-reverse / kernel-driver-reverse + cookbook,不在此复制长文
Phase 4: YARA 规则编写
yara
// 规则结构
rule MalwareFamily_Example {
    meta:
        description = "检测 Example 恶意软件家族"
        author = "分析者"
        date = "2026-05"
        severity = "high"
        hash = "d41d8cd98f00b204e9800998ecf8427e"
        mitre_id = "T1055"  // Process Injection

    strings:
        // 字符串匹配
        $str1 = "C2_SERVER_URL" ascii wide
        $str2 = "payload.dat" ascii

        // 十六进制匹配
        $hex1 = { 8B 45 ?? 50 FF 15 [4] 85 C0 }
        // 操作码序列: mov eax, [ebp-?]; push eax; call [import]; test eax, eax

        // 正则匹配
        $re1 = /https?:\/\/[a-z0-9.-]+\/[a-z]{3,8}\.php/ ascii

    condition:
        // 组合条件
        uint16(0) == 0x5A4D and     // MZ 头
        filesize < 500KB and
        (2 of ($str*) or $hex1)
}
Phase 5: Sigma 规则生成
yaml
# 行为检测规则
title: Suspicious Process Injection via CreateRemoteThread
id: 5a3d2c1b-1234-5678-9abc-def012345678
status: experimental
description: 检测使用 CreateRemoteThread 的进程注入行为
author: 分析者
date: 2026/05/25
tags:
    - attack.t1055          # Process Injection
    - attack.t1055.001      # DLL Injection
logsource:
    category: process_creation
    product: windows
detection:
    selection:
        Image|endswith: '\powershell.exe'
        CommandLine|contains:
            - 'CreateRemoteThread'
            - 'VirtualAllocEx'
            - 'WriteProcessMemory'
    condition: selection
falsepositives:
    - 合法的调试工具
level: high
Phase 6: IOC 提取与情报
text
IOC 类型分类:
□ 网络 IOC:
  - IP: C2 地址(注意时效性)
  - Domain: DGA 算法生成的域名(rsnkfda.com, xpqmje.net)
  - URL: Payload 托管地址
  - User-Agent: 自定义 UA 字符串

□ 主机 IOC:
  - 文件路径: %APPDATA%\Microsoft\Crypto\RSA\*.dat
  - 注册表: HKCU\Software\Microsoft\Windows\CurrentVersion\Run\
  - Mutex: Global\{GUID} 互斥体名称
  - 服务名: 伪装成系统服务的名称

□ 行为 IOC:
  - MITRE ATT&CK 技术 ID (T1055, T1003, T1571...)
  - Sigma 规则 → SIEM 集成
  - YARA 规则 → 端点检测

□ 静态 IOC:
  - 编译时间戳(可伪造)
  - PDB 路径(含开发者信息)
  - 节名异常(非标准 .text/.data)
  - 导入表异常组合(如勒索软件 CryptEncrypt + DeleteShadowCopies)

反分析技术速查

技术检测方法YARA 特征
虚拟机检测WMI Win32_BIOS/VideoController/ProcessorWin32_ 字符串 + 特定厂商名
沙箱检测磁盘 < 60GB, RAM < 2GB, 单核 CPUGlobalMemoryStatusEx 调用模式
调试器检测IsDebuggerPresent, CheckRemoteDebuggerPresentPEB.BeingDebugged 偏移访问
定时逃逸Sleep(300000) 后执行恶意行为NtDelayExecution 长参数
地理位置检测检查键盘布局/时区 → 排除 CIS 国家GetKeyboardLayoutList 调用
父进程检测explorer.exe vs cmd.exe进程名字符串比较
API 直接 syscall绕过 EDR hooksyscall 指令 + SSN 解析

多 Agent 自动化分析 (SentinelHive 架构)

text
┌─────────────────────────────────────────────────┐
│                  Hive Director                    │
│          (Claude Opus 编排 + 仲裁)                │
└──────┬──────┬──────┬──────┬──────┬───────┘
       │      │      │      │      │
   ┌───┘  ┌───┘  ┌───┘  ┌───┘  ┌───┘
   ▼      ▼      ▼      ▼      ▼      ▼
Triage  RE    Behav  Intel  Detect Remed
 快速   反编译  行为   威胁   规则   修复
 分诊   静态   动态   情报   YARA  方案
                          Sigma

工具链

工具用途获取
Ghidra / IDA Pro深度反编译ghidra-sre.org
CAPE Sandbox开源恶意软件沙箱GitHub: kevoreilly/CAPEv2
ASD Azul大规模自动化分析GitHub: ASD
YARA模式匹配规则引擎pip install yara-python
SigmaSIEM 行为检测规则GitHub: SigmaHQ/sigma
FLOSS去混淆字符串提取pip install flare-floss
Detect It Easy壳/编译器检测GitHub: horsicq/Detect-It-Easy
pe-sieve进程内存扫描GitHub: hasherezade/pe-sieve
VirusTotal API多引擎扫描virustotal.com
MalwareBazaar恶意软件样本库bazaar.abuse.ch

参考

  • references/yara-sigma-rules.md — YARA + Sigma 编写方法论
  • references/sandbox-orchestration.md — 沙箱编排与自动化
  • references/anti-analysis-techniques.md — 94 种反分析技术检测
  • ../reverse-engineering/references/re-agent-workflow.md — IAT 铁律与六阶段门闩(Issue #65)
  • ../reverse-engineering/anti-analysis.md — Agent 响应菜谱 A–T(反调试/混淆旁路)
  • ../reverse-engineering/references/nonpe-format-cookbook.md — 非 PE/多格式菜谱 U–AV(脚本/宏/JS/驱动/DLL/Android)
  • ../reverse-engineering/references/ollvm-deobfuscation.md — 平坦化/不透明谓词(H/S)

任务完成自检(声称完成前 MUST 通过)

  • 我是否执行了工作流中的每一步(而不是只阅读)?
  • 导入表 MUST 检查是否已执行并写入 Evidence(E-imports 或 .NET 等价锚点)?DLL/SYS 是否含 E-exports?
  • 若 IAT 修复失败或自校验闪退:是否记录 E-iat-repair-fail / E-self-check-crash 并转入动态?
  • 重做请求是否回到被点名步骤或经确认的前提协商?阻塞时是否说明+请确认而非偷换步骤?
  • 动态是否按 TLS→EP→敏感 API→ExitProcess 保底顺序预置断点?时间盒/高危 API 组合是否按旁路处理?
  • 反调试/混淆(A–T)是否按 anti-analysis 菜谱记录 Evidence?签名无效是否未错误降级威胁?
  • 脚本/宏/DLL 等非 PE 类型是否按 U–AV cookbook 记录对应 Evidence(如 E-batch-deobf / E-ps-decode / E-vba-pcode / E-dll-*)?
  • 我是否基于 tool-index 使用了真实工具路径?
  • 我是否产出了可复现证据(命令/脚本/截图/报告)?
  • 我是否完成并回写了 RULES 要求的 Checklist 项?

Limitations

  • Never detonate live samples outside isolated, disposable VMs.
  • Anti-VM techniques can stall or mislead automated sandboxes.

Adapted from zhaoxuya520/reverse-skill (MIT).

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in skills/malware-analysis of sickn33/agentic-awesome-skills.

  • SKILL.md
  • references/anti-analysis-techniques.md
  • references/sandbox-orchestration.md
  • references/yara-sigma-rules.md

Open the folder on GitHubat commit 1e53ce2

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

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SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Malware Analysis this skillsickn33/agentic-awesome-skills47k1 repos~2.5kAutomated safety check: PassMIT
vphone600 Kernel Symbol AnalysisLakr233/vphone-cli15k—~530Automated safety check: PassMIT
Webhome Extension Builderwebhtv/webhtv1.7k—~2.8kAutomated safety check: PassGPL-3.0
Reverse Flowlingbol088-spec/reverse-flow-skill935—~2.4kAutomated safety check: PassMIT
Website Rebuildboyang-hu/website-rebuild-skill1.4k—~6.1kAutomated safety check: PassMIT
Client Request Signature Reversalawarexone/Agentic-Bug-Hunter5.3k—~4.7kAutomated safety check: PassMIT

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Categories

Questions about Malware Analysis

What does Malware Analysis do?

Analyze suspected malware through static, dynamic, and behavioral techniques: IOC extraction, YARA/Sigma rule authoring, sandbox orchestration, and anti-analysis detection. Malware Analysis is an agent skill from sickn33/agentic-awesome-skills. Analyze suspected malware through static, dynamic, and behavioral techniques: IOC extraction, YARA/Sigma rule authoring, sandbox orchestration, and anti-analysis detection.

When should I use Malware Analysis?

Malware Analysis fits situations like: tasks that involve Reverse engineering and malware.

How do I install Malware Analysis in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill malware-analysis -a claude-code`. Or copy the skill folder (skills/malware-analysis in sickn33/agentic-awesome-skills) into .claude/skills/malware-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Malware Analysis in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill malware-analysis -a codex`. Or copy the skill folder (skills/malware-analysis in sickn33/agentic-awesome-skills) into .agents/skills/malware-analysis in your project. Codex loads it when a task matches its description.

Can I use Malware Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill malware-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/malware-analysis, .gemini/skills/malware-analysis, .github/skills/malware-analysis and .opencode/skills/malware-analysis in your project.

What does Malware Analysis need to run?

Going by SKILL.md and its folder, Malware Analysis needs the command-line tools its instructions call (pip).

Does Malware Analysis access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Malware Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Malware Analysis use?

Malware Analysis is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Malware Analysis use?

About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.4k tokens, read only when the agent opens those files.

What are the alternatives to Malware Analysis?

Skills that share tags, products or a category with Malware Analysis: vphone600 Kernel Symbol Analysis (Lakr233/vphone-cli, 15k stars), Webhome Extension Builder (webhtv/webhtv, 1.7k stars), Reverse Flow (lingbol088-spec/reverse-flow-skill, 935 stars) and Website Rebuild (boyang-hu/website-rebuild-skill, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Malware Analysis?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.