# Dma Re Discipline

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

- Skill: `netvar1337/dma-re-discipline` (Agent Skill)
- Install (CLI): `npx skillmds@latest add netvar1337/dma-re-discipline`
- Raw SKILL.md: https://api.skillmd.com/api/skills/netvar1337/dma-re-discipline/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: netvar1337 (https://skillmd.com/u/netvar1337)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/netvar1337/dma-re-discipline

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# 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 Do not publish target-specific offsets in this repo.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.