malware-analyst

sickn33/antigravity-awesome-skills · updated May 17, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill malware-analyst
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summary

file sample.exe

  • sha256sum sample.exe
skill.md

File identification

file sample.exe sha256sum sample.exe

String extraction

strings -a sample.exe | head -100 FLOSS sample.exe # Obfuscated strings

Packer detection

diec sample.exe # Detect It Easy exeinfope sample.exe

Import analysis

rabin2 -i sample.exe dumpbin /imports sample.exe


### Phase 3: Static Analysis
1. **Load in disassembler**: IDA Pro, Ghidra, or Binary Ninja
2. **Identify main functionality**: Entry point, WinMain, DllMain
3. **Map execution flow**: Key decision points, loops
4. **Identify capabilities**: Network, file, registry, process operations
5. **Extract IOCs**: C2 addresses, file paths, mutex names

### Phase 4: Dynamic Analysis
  1. Environment Setup:

    • Windows VM with common software installed
    • Process Monitor, Wireshark, Regshot
    • API Monitor or x64dbg with logging
    • INetSim or FakeNet for network simulation
  2. Execution:

    • Start monitoring tools
    • Execute sample
    • Observe behavior for 5-10 minutes
    • Trigger functionality (connect to network, etc.)
  3. Documentation:

    • Network connections attempted
    • Files created/modified
    • Registry changes
    • Processes spawned
    • Persistence mechanisms

## Use this skill when

- Working on file identification tasks or workflows
- Needing guidance, best practices, or checklists for file identification

## Do not use this skill when

- The task is unrelated to file identification
- You need a different domain or tool outside this scope

## Instructions

- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open `resources/implementation-playbook.md`.

## Common Malware Techniques

### Persistence Mechanisms

Registry Run keys - HKCU/HKLM\Software\Microsoft\Windows\CurrentVersion\Run Scheduled tasks - schtasks, Task Scheduler Services - CreateService, sc.exe WMI subscriptions - Event subscriptions for execution DLL hijacking - Plant DLLs in search path COM hijacking - Registry CLSID modifications Startup folder - %APPDATA%\Microsoft\Windows\Start Menu\Programs\Startup Boot records - MBR/VBR modification


### Evasion Techniques

Anti-VM - CPUID, registry checks, timing Anti-debugging - IsDebuggerPresent, NtQueryInformationProcess Anti-sandbox - Sleep acceleration detection, mouse movement Packing - UPX, Themida, VMProtect, custom packers Obfuscation - String encryption, control flow flattening Process hollowing - Inject into legitimate process Living-off-the-land - Use built-in tools (PowerShell, certutil)


### C2 Communication

HTTP/HTTPS - Web traffic to blend in DNS tunneling - Data exfil via DNS queries Domain generation - DGA for resilient C2 Fast flux - Rapidly changing DNS Tor/I2P - Anonymity networks Social media - Twitter, Pastebin as C2 channels Cloud services - Legitimate services as C2


## Tool Proficiency

### Analysis Platforms

Cuckoo Sandbox - Open-source automated analysis ANY.RUN - Interactive cloud sandbox Hybrid Analysis - VirusTotal alternative Joe Sandbox - Enterprise sandbox solution CAPE - Cuckoo fork with enhancements


### Monitoring Tools

Process Monitor - File, registry, process activity Process Hacker - Advanced process management Wireshark - Network packet capture API Monitor - Win32 API call logging Regshot - Registry change comparison


### Unpacking Tools

Unipacker - Automated unpacking framework x64dbg + plugins - Scylla for IAT reconstruction OllyDumpEx - Memory dump and rebuild PE-sieve - Detect hollowed processes UPX - For UPX-packed samples


## IOC Extraction

### Indicators to Extract
```yaml
Network:
  - IP addresses (C2 servers)
  - Domain names
  - URLs
  - User-Agent strings
  - JA3/JA3S fingerprints

File System:
  - File paths created
  - File hashes (MD5, SHA1, SHA256)
  - File names
  - Mutex names

Registry:
  - Registry keys modified
  - Persistence locations

Process:
  - Process names
  - Command line arguments
  - Injected processes

YARA Rules

rule Malware_Generic_Packer
{
    meta:
        description = "Detects common packer characteristics"
        author = "Security Analyst"

    strings:
        $mz = { 4D 5A }
        $upx = "UPX!" ascii
        $section = ".packed" ascii

    condition:
        $mz at 0 and ($upx or $section)
}

Reporting Framework

Analysis Report Structure

# Malware Analysis Report

## Executive Summary
- Sample identification
- Key findings
- Threat level assessment

## Sample Information
- Hashes (MD5, SHA1, SHA256)
- File type and size
- Compilation timestamp
- Packer information

## Static Analysis
- Imports and exports
- Strings of interest
- Code analysis findings

## Dynamic Analysis
- Execution behavior
- Network activity
- Persistence mechanisms
- Evasion techniques

## Indicators of Compromise
- Network IOCs
- File system IOCs
- Registry IOCs

## Recommendations
- Detection rules
- Mitigation steps
- Remediation guidance

Ethical Guidelines

Appropriate Use

  • Incident response and forensics
  • Threat intelligence research
  • Security product development
  • Academic research
  • CTF competitions

Never Assist With

  • Creating or distributing malware
  • Attacking systems without authorization
  • Evading security products maliciously
  • Building botnets or C2 infrastructure
  • Any offensive operations without proper authorization

Response Approach

  1. Verify context: Ensure defensive/authorized purpose
  2. Assess sample: Quick triage to understand what we're dealing with
  3. Recommend approach: Appropriate analysis methodology
  4. Guide analysis: Step-by-step instructions with safety considerations
  5. Extract value: IOCs, detection rules, understanding
  6. Document findings: Clear reporting for stakeholders
how to use malware-analyst

How to use malware-analyst on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add malware-analyst
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill malware-analyst

The skills CLI fetches malware-analyst from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/malware-analyst

Reload or restart Cursor to activate malware-analyst. Access the skill through slash commands (e.g., /malware-analyst) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.545 reviews
  • Daniel Jain· Dec 28, 2024

    Registry listing for malware-analyst matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Charlotte Verma· Dec 20, 2024

    Keeps context tight: malware-analyst is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ganesh Mohane· Dec 16, 2024

    Useful defaults in malware-analyst — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Aisha Taylor· Nov 19, 2024

    Keeps context tight: malware-analyst is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Nikhil Okafor· Nov 11, 2024

    Registry listing for malware-analyst matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Amelia Rahman· Nov 11, 2024

    Useful defaults in malware-analyst — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Anika Iyer· Oct 10, 2024

    malware-analyst is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Arjun Iyer· Oct 6, 2024

    Keeps context tight: malware-analyst is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Dev Park· Oct 2, 2024

    malware-analyst reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Amelia Huang· Oct 2, 2024

    I recommend malware-analyst for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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