case-review
Reviews a reverse-skill case package for scope readiness, Evidence to Finding to Path traceability, work item coverage, timeline references, and optional artifact hash integrity before report handoff.
By zhaoxuya520 · 452 installs
npx skills add zhaoxuya520/reverse-skill --skill case-review
Source repository · Upstream listing
Evidence Graph Review
Use this skill when a reverse engineering, forensics, CTF, or authorized security case needs a defensible handoff. It audits the existing work/<case / package without changing the case or touching a target.
Scope
This skill covers:
Scope metadata and target activity readiness
Evidence record structure and reproducibility fields
References from work items and timeline entries to Evidence
Structured Findings and Paths in report Markdown
Optional SHA 256 verification for case local artifacts
A Markdown or JSON review result for a report handoff
It MUST NOT perform reconnaissance, exploitation, dynamic instrumentation, or target changes. Those actions belong to the routed analysis skill and require the case scope gate.
ACTION REQUIRED
1. NOW : read ../field journal/precedent reverse.md and confirm that this is a review of an existing authorized case package.
2. NOW : confirm the case path and choose read only review mode.
3. NEXT : read ../tool index.md ; this skill uses only Python 3 standard library and does not require bootstrap.
4. NEXT : run python3 scripts/review case.py <case root format markdown .
5. ACT : resolve every error, then rerun the review before claiming a handoff is complete.
Tool dependencies
Tool Required Purpose Auto bootstrap
Python 3.9+ Yes Runs the read only case review script No, use the platform Python installation
No network access or third party package is required.
Workflow
Phase 1: Intake
Run the review against the existing case directory:
Confirm that scope.md , timeline.md , workitems.md , and evidence/ are present. A non strict review reports scope warnings while a strict review treats warnings as handoff blockers.
建议下一步(选一个编号)
1. 修复 scope.md 中的授权、范围或 network profile 字段
2. 继续检查 Evidence 记录的可复现命令和来源
3. 导出当前 review 结果并附到阶段性报告
4. 换 JSON 输出接入 CI 或其他审查工具
5. 暂停,先确认审查范围
Phase 2: Traceability
Review the checks for:
Evidence IDs that do not exist
Findings without evidence ids
Paths without an allowed path type or Evidence reference
Work items and timeline entries pointing to unknown Evidence
Unlinked Evidence records
Validated Findings with low confidence
An offline observation may use repro command: n/a only when its notes field explicitly documents the offline limitation.
Use JSON when another tool needs stable fields:
建议下一步(选一个编号)
1. 补写缺失的 Evidence,并保留原始命令
2. 将候选 Finding 绑定到 Evidence 后重新审查
3. 为调用链或攻击链补充 P id 和 Path 步骤
4. 生成 Markdown handoff summary
5. 换回 PRIMARY skill 继续分析
Phase 3: Fixity verification
When an Evidence record contains both content hash and artifact path , verify the case local artifact:
The script accepts sha256:<64 hex characters and checks that the artifact remains inside the case root. A hash mismatch is a hard failure.
The PowerShell Evidence helper can record a hash while appending a record:
建议下一步(选一个编号)
1. 修复 hash mismatch 或替换已污染的工作副本
2. 为未固定的原始文件补充 SHA 256 和 artifact path
3. 继续进入报告生成阶段
4. 导出 JSON 结果供 CI 保存
5. 暂停并请求人工复核
Phase 4: Handoff
Use strict mode before a final report or specialist handoff:
The command is read only with respect to the case unless shell redirection is explicitly used to save its output. The review is not legal advice and does not replace organizational evidence handling procedures.
建议下一步(选一个编号)
1. 将通过的 review 结果交给 docs generator/ 生成正式报告
2. 回到 PRIMARY skill 补齐新的分析证据
3. 归档 Markdown 和 JSON review 结果
4. 暂停并请求人工复核
Language behavior contract
Internal reasoning, tool selection, and phase control: English.
User visible messages, section labels, reports, and next step menus: Chinese unless the user requests another language.
Default bilingual labels place Chinese first and English second, separated by / .
Bootstrap boundary
This skill has no third party dependency. If Python 3 is unavailable, the only allowed recovery action is the repository bootstrap path when a Python capability is registered for the current platform. If no such capability is registered, stop and report the missing runtime. Do not guess executable paths, download packages, or perform a manual install from inside this skill.
Routing context
Upstream entry : any reverse, forensics, CTF, or authorized security skill that has produced a case package.
Downstream exit : docs generator/ for a formal report, or the original PRIMARY skill when the graph is incomplete.
Related modules : ops/evidence finding path.md , ops/timeline workitem.md , digital forensics/ , reverse engineering/ , and docs generator/ .
References
[NIST SP 800 86: Guide to Integrating Forensic Techniques into Incident Response](https://csrc.nist.gov/pubs/sp/800/86/final)
[SWGDE Best Practices for Computer Forensic Acquisitions](https://www.swgde.org/documents/published complete listing/17 f 002 2 1/)
[SWGDE Best Practices for Archiving Digital and Multimedia Evidence](https://www.swgde.org/documents/published complete listing/19 f 003 best practices for archiving digital and multimedia evidence/)
任务完成自检
[ ] 我是否审查了 scope.md、timeline.md、workitems.md 和 evidence/?
[ ] 所有 Finding 是否引用了现存 Evidence?
[ ] 所有 Path 是否包含合法 path type 和 Evidence 引用?
[ ] 是否执行了 hash verification,或记录了未执行原因?
[ ] 是否以 strict 模式重新运行并保存了 review 结果?