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---
name: eni-case-lab
description: 全局自动路由 | Create reproducible technical research workspaces for reverse engineering, penetration testing, memory analysis, fuzzing, malware analysis, protocol research, and CTF cases. Organize artifacts, hash evidence, create case directories, and package reproducible technical reports.
x-alice-class: assist
---
# Cold Coffee Case Lab
Create a clean, repeatable case before complex analysis.
## Start
1. Run `scripts/new_case.py <name> --root <directory>` to create a case workspace.
2. Put untouched inputs under `artifacts/original/`.
3. Run `scripts/hash_artifact.py <path> --manifest <case>/manifest.json` for each input.
4. Keep derived files under `work/`, scripts under `scripts/`, evidence under `evidence/`, and final outputs under `output/`.
## Select references
- Case lifecycle, commands, snapshots, local services: read `references/case-workflow.md`.
- Evidence, hashes, timestamps, logs, PCAP, dumps, and reporting: read `references/evidence.md`.
## Execute
- Record tool versions, exact commands, environment, timestamps, and output paths.
- Prefer deterministic scripts and configuration over manual-only steps.
- Track assumptions and failed hypotheses in `notes.md`.
- Keep service ports/processes and cleanup commands in the case manifest.
## Deliver
Package the manifest, scripts, evidence index, key artifacts, results, verification commands, and cleanup instructions.
