best-skills is a collection of reusable skills for coding agents, including tools for writing papers, creating diagrams and presentations, generating code documentation, and other tasks. Users install its skills into agents such as Cursor, Claude Code, Codex, or OpenClaw so those agents can recognize relevant requests and run the corresponding workflows. The catalogue entries are examples of the skills included in the collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add xstongxue/best-skills --skill paper-writegit clone --depth 1 https://github.com/xstongxue/best-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/xstongxue/best-skills/paper-write)<a href="https://agentmods.dev/skills/xstongxue/best-skills/paper-write"><img src="https://agentmods.dev/badge/skills/xstongxue/best-skills/paper-write/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/xstongxue/best-skills/paper-write"><img src="https://agentmods.dev/badge/skills/xstongxue/best-skills/paper-write.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00153 | $0.01446 |
| Opus 5 | $0.00077 | $0.00723 |
| Sonnet 5 | $0.00031 | $0.00289 |
| Haiku 4.5 | $0.00015 | $0.00145 |
Grade A, and why
paper-write scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
本科&硕士学位论文撰写
使用时机
- 用户需要审核/优化论文大纲（理工科 / 文科区分）
- 用户需要仿写论文章节（绪论、摘要、实验章节等；文科另含文献综述、案例分析、对策建议及文科版绪论/摘要）
- 用户需要参考文献匹配与 GB/T 7714 格式
- 用户需要润色、缩写、扩写、去 AI 化（实验章节用实验润色，文科章节用文科润色）
- 用户需要中英互译
- 用户需要从论文中提取结构化信息（用于答辩 PPT 等）
Step 1：识别任务类型
根据用户需求选择对应 reference 文件执行。
大纲审核
| 适用 | 文件 |
|---|---|
| 理工科（计算机/电子/机械/土木等） | outline-review-science.md |
| 文科（文学/经管/教育/法学/传媒等） | outline-review-liberal.md |
结构仿写
通用（理工/文科均可）
| 任务 | 文件 |
|---|---|
| 通用章节（任一章节仿写） | structure-imitate-general.md |
理工（science-*）
| 任务 | 文件 |
|---|---|
| 绪论 | structure-imitate-science-introduction.md |
| 摘要 | structure-imitate-science-abstract.md |
| 实验章节 | structure-imitate-science-experiment.md |
文科（liberal-*）
问题与格式检查
| 任务 | 文件 |
|---|---|
| 问题与格式检查（错别字 / 标点 / 版式 / 图表与公式编号 / 章节引用 / 重复段落 / 术语一致性） | check-issues-and-format.md |
参考文献与融合
| 任务 | 文件 |
|---|---|
| 参考文献获取（GB/T 7714） | references.md |
| 融合 | merge.md |
润色
| 适用 | 文件 |
|---|---|
| 通用 | polish.md |
| 实验章节（理工 science） | polish-science-experiment.md |
| 文科章节（liberal） | polish-liberal.md |
What ships with it
27 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- reference/abbreviate.md 2.2 KB
- reference/anti-aigc.md 5.6 KB
- reference/check-issues-and-format.md 5.3 KB
- reference/en-to-zh.md 2.1 KB
- reference/expand.md 2.4 KB
- reference/extract-structured.md 5.6 KB
- reference/merge.md 2.5 KB
- reference/outline-review-liberal.md 2.1 KB
- reference/outline-review-science.md 1.7 KB
- reference/polish-experiment.md 1.7 KB
- reference/polish-liberal.md 2.2 KB
- reference/polish-science-experiment.md 1.7 KB
- reference/polish.md 2.7 KB
- reference/references.md 2.6 KB
- reference/structure-imitate-abstract.md 3.5 KB
- reference/structure-imitate-experiment.md 2.8 KB
- reference/structure-imitate-general.md 2.4 KB
- reference/structure-imitate-introduction.md 3.2 KB
- reference/structure-imitate-liberal-abstract.md 3.1 KB
- reference/structure-imitate-liberal-case-analysis.md 2.9 KB
- reference/structure-imitate-liberal-introduction.md 3.0 KB
- reference/structure-imitate-liberal-literature-review.md 3.0 KB
- reference/structure-imitate-liberal-policy.md 3.0 KB
- reference/structure-imitate-science-abstract.md 3.5 KB
- reference/structure-imitate-science-experiment.md 2.9 KB
- reference/structure-imitate-science-introduction.md 3.2 KB
- reference/zh-to-en.md 2.4 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 127 lines · 153 tokens per session scan A e6896643f6ce
paper-write is a skill published in the GitHub repository xstongxue/best-skills (2,811 stars, last pushed 16d ago), licensed Apache-2.0. It adds 153 tokens to every session and 1,446 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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