AGENT SKILL

eni-case-lab

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.

License 许可
GPL-3.0
最近更新
2026-09-30
Stars
★ 64
Forks
19

01 前言 Front Matter

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

02 资源文件 4

03 SKILL.md 正文

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.

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