Dma Re Discipline

Use before reverse-engineering binaries, dumps, headers, or memory layouts for DMA workflows.

netvar1337 Updated

File contents

DMA Reverse-Engineering Discipline

Use evidence-first workflow:

  1. Record file/tool/source for each observation.
  2. Separate observation from interpretation.
  3. Keep confidence explicit.
  4. Do not publish target-specific offsets in this repo.
  5. Use docs/reverse-engineering/evidence-log.md format.

netvar1337/dma-ai-toolkit/tree/main/.claude/skills/dma-re-discipline commit 165a19117e

Frequently asked questions

npx skillmds@latest add netvar1337/dma-re-discipline