Research Writing SkillSAFE
本仓库包含三个面向学术科研人员的Skills,覆盖从文献阅读、论文写作到科学计算的完整研究工作流。office-academic-skill 负责论文阅读报告与学术 PPT/Word 文档生成;research-writing-skill 提供论文写作、润色与审稿回复辅助;scientific-toolkit-skill 整合 MATLAB/Python 科学计算与期刊级图表生成。三个 Skill 专为中文科研用户设计,可在 Claude Code 和 codex 中一键调用。
Overview
本仓库包含三个面向学术科研人员的Skills,覆盖从文献阅读、论文写作到科学计算的完整研究工作流。office-academic-skill 负责论文阅读报告与学术 PPT/Word 文档生成;research-writing-skill 提供论文写作、润色与审稿回复辅助;scientific-toolkit-skill 整合 MATLAB/Python 科学计算与期刊级图表生成。三个 Skill 专为中文科研用户设计,可在 Claude Code 和 codex 中一键调用。
4795dcfca574OBSERVED · 2026-10-21What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: research-writing-skill description: Chinese-first research paper writing, revision, polishing, section drafting, rebuttal, peer-review response, thesis prose improvement, and manuscript argument planning. Use when the user asks to write or revise论文正文, abstracts, introductions, methods, results, discussion, conclusions, related work, responses to reviewers, LaTeX/Overleaf text, or academic prose. Preserve formulas, English paper titles, terms, citations, and measured results. --- # Research Writing Skill ## Scope Use this skill for research writing and revision when the output is prose, LaTeX, Markdown, or manuscript text. Use `office-academic-skill` instead when the main deliverable is Word/PPT. Use `scientific-toolkit-skill` when the task is primarily MATLAB, Python, plotting, statistics, simulation, or literature search. ## Writing Principles - Default to Chinese academic expression unless the user requests English. - Preserve English titles, formulas, variables, methods, software names, citations, and reference entries. - Do not invent data, DOI, journal details, experiment settings, results, or author claims. - Separate `原文/已有数据`, `用户确认内容`, `根据上下文推断`, and `建议性扩展`. - Prefer verifiable technical statements over generic claims. - When revising, preserve the user's intended meaning and terminology unless a change is clearly needed. ## Manuscript Workflow For a new section or paper draft: 1. Clarify target: journal/conference/thesis/course report, language, length, audience, and required format. 2. Identify source material: paper notes, experiment results, figures, tables, MATLAB/Python outputs, references, advisor comments. 3. Build an argument outline before full prose: problem, gap, method, evidence, contribution, limitation. 4. Draft in coherent paragraphs, not empty slogan bullets. 5. Add source or evidence labels for quantitative claims and literature claims. 6. Revise for logic, specificity, terminology consistency, and citation accuracy. For revision or polishing: - Keep claims tied to evidence. - Replace vague words such as "显著", "先进", "有效", "鲁棒" with measured conditions, comparison baselines, or remove them. - Check whether each paragraph advances the section's purpose. - Keep formulas with variable definitions, units, assumptions, and applicable conditions. - For experimental sections, state dataset/sample, hardware/software, parameters, metrics, baselines, and uncertainty when available. ## Section Guides Use these default moves unless the user's school or journal template overrides them: - Abstract: problem, method, experiment/data, key result, contribution. - Introduction: background, unresolved gap, why it matters, proposed approach, contributions. - Related work: organize by technical theme, compare assumptions and limitations, avoid simple paper-by-paper summaries. - Methods: model assumptions, variables, workflow, algorithm, implementation details needed for reproduction. - Experiments: data/source, platform/software, parameters, metrics, baseline, repeated trials, visualization plan. - Results and discussion: claim first, evidence second, mechanism/explanation third, limitation last. - Conclusion: answer the research question, summarize evidence, state limitations and next steps. ## Bundled References The folder `references/paper-writing/` contains external writing checklists and section patterns adapted as references. Load only the relevant file when needed: - `brainstorming_guide.md` for turning an unclear idea into a paper plan. - `section_rhetorical_moves/` for section structure. - `writing_checklists/` for self-diagnosis. - `figure_templates/` for figure planning. - `author_profile/` for editorial heuristics. These references come from an external systems/networking-oriented repository. Treat them as optional craft guidance, not binding rules, and adapt them to光电信息科学与工程, optics, optoelectronics, sensing, communication, signal processing, and MATLAB simulation work. ## Final Checks Before delivery, state: - What was drafted or revised. - Which source material was used. - Which claims still need user-provided data or citation support. - Any uncertainty about terminology, parameters, or references.
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
4795dcfca574full audit observations/trust-audit/skill/zlanqing__research-writing-skill.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-21 | 4795dcfca574 | SAFE | B | 89 | first audit |
Questions
What does the research-writing-skill — zlanqing/codex-claude-academic-skills skill do?
本仓库包含三个面向学术科研人员的Skills,覆盖从文献阅读、论文写作到科学计算的完整研究工作流。office-academic-skill 负责论文阅读报告与学术 PPT/Word 文档生成;research-writing-skill 提供论文写作、润色与审稿回复辅助;scientific-toolkit-skill 整合 MATLAB/Python 科学计算与期刊级图表生成。三个 Skill 专为中文科研用户设计,可在 Claude Code 和 codex 中一键调用。
Is research-writing-skill — zlanqing/codex-claude-academic-skills safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can research-writing-skill — zlanqing/codex-claude-academic-skills access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (4795dcfca574), read on 2026-10-21. The repository is watched, and a new audit runs when it changes — this is the first audit.
Add this badge to your README
Shows this page's audit result and links back to it. It updates when the audit does.
[](https://modelsatlas.com/skills/zlanqing/research-writing-skill/)
Not your listing, or something out of date? Claim or update your listing.