Cold Coffee Memory Forensics

SkillDocs & knowledge

全局自动路由 | Cross-platform process memory, dump, runtime, heap, pointer-chain, signature, structure, and memory-forensics analysis for Windows, Linux, Android, Unity IL2CPP, Unreal, native applications, crash dumps, and raw memory images.

Use Cold Coffee Memory Forensics in Claude, ChatGPT or Ahel Desktop

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Then ask your AI: use the Cold Coffee Memory Forensics skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Cold Coffee Memory ForensicsStart free

What this skill tells your AI

The instructions your AI receives, as published by alicewe1/alice_skill in _modules/eni-memory-forensics/SKILL.md and read by Ahel’s review.

Resolve runtime addresses and structures from evidence, then produce repeatable tooling.

Start

  1. Establish architecture, pointer width, endianness, target OS/runtime, and artifact type.
  2. Distinguish absolute addresses, module-relative offsets, signatures, pointer chains, handles, and generated references.
  3. Record module mappings, page protections, thread/heap context, and address provenance.
  4. Use scripts/aob_scan.py for wildcard byte-pattern scans and scripts/dump_strings.py for offset-aware ASCII/UTF-16 extraction.

Select references

  • Windows live process, dumps, WinDbg, RPM/WPM: read references/windows.md.
  • Linux, Android, Frida, IL2CPP: read references/linux-android.md.
  • Raw dumps, structures, pointer chains, memory forensics: read references/dump-structures.md.

Execute

  • Prefer module resolution, signatures, and validated pointer paths over hard-coded absolute addresses.
  • Use controlled state changes, memory diffs, watchpoints, allocation hooks, and access-width patterns to recover structures.
  • Verify readable/writable regions and bounds before access.
  • For patches, capture original bytes, validate expected bytes, restore protections, and provide rollback.

Deliver

Return the address derivation, mapping evidence, recovered structure, complete reader/scanner/hook/patch code, error handling, logs, and verification steps.

Signals

GitHub stars
36
Forks
6
Last commit
Sep 2026
Advanced
Item type
skill
Key
eni-memory-forensics
Source
github.com/alicewe1/alice_skill