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Law Thesis Review — DSH Plugin for DeepSeek Harness
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@signalight/dsh-law-thesis-review

Law Thesis Review

International Economic Law paper review skill: Reads a student's Word paper, checks it against a self-checklist, and outputs a reviewed draft with Word revisions and comments.

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add @signalight/dsh-law-thesis-review@0.3.0
READMECompatibilityVersions

Compatibility and provenance

Law Thesis Review is published as @signalight/dsh-law-thesis-review and currently resolves to version 0.3.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
npm
Registry updated
9/19/2026

Versions

0.3.0stable
9/19/2026

Related plugins

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Latest
0.3.0
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
162.9 kB
Files
18
Surface
any
License
MIT
Source
npm
GitHub
★ 0
Weekly downloads
0
Last push
9/18/2026
View source ↗
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README

dsh-law-thesis-review

A DeepSeek Harness skill plugin that reviews student law theses (国际经济法/法学论文) and outputs a Word review draft with tracked changes + Word comments.

What it does

  • Reads a student Word (.docx) thesis (single file or a folder).
  • Checks against a bundled common-issue checklist (硕士/本科自查清单合并版 + 国际经济法/法学论文高发问题).
  • Applies definite fixes as Word tracked changes (w:ins / w:del).
  • Writes Word comments for issues the student must handle themselves (overall section problems, missing basis/clarification, etc.).
  • Emits a short, objective overall review + a fix list.

Install (local / from npm)

# local path
dsh plugin --profile web add link:D:/Coding/Creating/dsh-law-thesis-review
# or from npm (once published)
dsh plugin --profile web add @signalight/dsh-law-thesis-review

Restart the web profile. The skill is then auto-discovered; trigger it with phrases like “批改学生论文”, “审阅这篇论文”, “以修订+批注检查论文”.

Usage

The skill runs the bundled script:

# 1) extract text + paragraph indices
python skills/iet-law-thesis-review/scripts/review_docx.py extract 论文.docx --out ./work

# 2) review: apply tracked edits + comments from a spec
python skills/iet-law-thesis-review/scripts/review_docx.py review 论文.docx --spec spec.json --out 论文_审查稿.docx [--author "教师名"]

Spec shape shown in skills/iet-law-thesis-review/examples/spec-template.json.

Notes

  • Self-contained: apply_edits.py / models.py / add_comment.py are vendored; the skill does not require an external word-docx plugin.
  • Checklist is bundled (skills/iet-law-thesis-review/references/checklist.md); no dependency on any local Obsidian vault path.
  • The output preserves the original title and any student info; revision/comment author defaults to the local Office/WPS username or can be set via --author.
  • Word: open the _审查稿.docx to see the redline + comment bubbles.

License

MIT

Thesis level

The skill detects the paper level and routes to the matching checklist:

  • Undergraduate thesis -> references/checklist-undergraduate.md (with format/editing checks)
  • Master's thesis -> references/checklist-master.md (with format/editing checks)
  • Academic training / term paper -> references/checklist-academic-training.md (no format requirements)
  • Level unspecified -> references/checklist.md (general requirements only; no format nitpicks)