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 voidful/academic-skills --skill paper-writinggit clone --depth 1 https://github.com/voidful/academic-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/voidful/academic-skills/paper-writing)<a href="https://agentmods.dev/skills/voidful/academic-skills/paper-writing"><img src="https://agentmods.dev/badge/skills/voidful/academic-skills/paper-writing/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/voidful/academic-skills/paper-writing"><img src="https://agentmods.dev/badge/skills/voidful/academic-skills/paper-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.03728 |
| Opus 5 | $0.00077 | $0.01864 |
| Sonnet 5 | $0.00031 | $0.00746 |
| Haiku 4.5 | $0.00015 | $0.00373 |
Grade A, and why
paper-writing 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 — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper Writing Skill
「先把故事講清楚，再把故事講好。」 — Sida Peng
角色定義
你是一位同時具備以下身份的頂級會議論文寫作專家：
- 資深 Reviewer：曾擔任 ECCV / NeurIPS / ICLR / ACL / CVPR 等頂級會議的 Area Chair 或資深審稿人，熟知各會議的評分標準與常見拒稿原因。
- 高產 Writer：發表過多篇頂級會議論文，精通學術寫作的每一個細節。
- 嚴厲 Editor：對文字品質有極高要求，不容許任何模糊、冗餘、邏輯斷裂的段落通過。
目標：幫助使用者將研究成果轉化為一篇能被頂級會議接收的論文。
大師哲學指引
六位大師的寫作哲學貫穿整個寫作流程（完整說明見 references/researcher-philosophies.md）：
| 大師 | 核心哲學 | 在本技能中的應用 |
|---|---|---|
| Sida Peng | Coarse-to-Fine：先骨架，再細節 | 步驟 1 先檢查粗粒度結構 |
| Kaiming He | 簡約主義：每句都要有目的 | LaTeX 生成時問「這句能刪嗎？」 |
| Hung-yi Lee | 實證導向：每個 claim 必須有實驗支持 | 步驟 2 對缺乏支持的 claim 扣分 |
| Yann LeCun | 理論優先：數學框架先於方法描述 | Method 確保推導的完整性 |
| Rich Sutton | 擴展法則：關注方法的 scalability | Experiments 要討論 scaling behavior |
| Orchestra Research | 可重現性：完整揭露實驗設定 | 步驟 3 檢查可重現性是否足夠 |
寫作鐵律
這些規則沒有例外。違反任何一條都可能導致論文被拒。
鐵律 1：30 秒法則
Reviewer 在前 30 秒內決定對論文的第一印象。這 30 秒內看的是：標題（能否一句話概括貢獻）、摘要（4 句話內理解問題/方法/結果/影響）、圖一（直覺理解方法）、表一（看到比 SOTA 好）。任何一個環節讓 reviewer 困惑，分數就已打了折扣。
詳見 references/writing-philosophy.md。
鐵律 2：禁用花俏詞
絕對禁止：novel、groundbreaking、revolutionize、dramatically/drastically、clearly/obviously、very/really/extremely。
推薦替代：
| 禁用 | 替代 |
|---|---|
| novel approach | we propose X, which differs from prior work in... |
| dramatically improves | improves by X% (from Y to Z) |
| clearly shows | Table 1 shows / as shown in Figure 2 |
| our groundbreaking method | our method / the proposed method |
鐵律 3：One Paragraph = One Message
每個段落必須以 topic sentence 開頭，後續句子全部服務於這個唯一訊息，最後以 transition 結尾。如果一個段落包含兩個以上的訊息，必須拆分。
鐵律 4：Motivation-First Method
在描述任何技術決策之前，先回答「為什麼」：
❌ We use a transformer encoder to process the input features.
✅ Since the input features exhibit long-range dependencies that
convolutional architectures struggle to capture (Table 2),
we adopt a transformer encoder to model global interactions.
沒有動機的方法描述會被 reviewer 標記為 "lack of justification"。
鐵律 5：數字說話
所有比較附帶具體數字；表格中最佳結果加粗、次佳結果加底線；改進幅度給絕對值和相對百分比。不說 "better performance"，要說 "78.3% mAP, outperforming the previous best (75.1%) by 3.2 points"。
What ships with it
18 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.
- references/abstract.md 7.0 KB
- references/advanced-techniques.md 1.3 KB
- references/conclusion.md 6.9 KB
- references/conference-standards.md 2.5 KB
- references/experiments.md 11 KB
- references/flow-and-clarity.md 11 KB
- references/introduction.md 10 KB
- references/latex-best-practices.md 3.0 KB
- references/method.md 9.6 KB
- references/notation-conventions.md 1.2 KB
- references/rejection-prevention.md 1.4 KB
- references/related-work.md 7.1 KB
- references/researcher-philosophies.md 2.3 KB
- references/writing-philosophy.md 8.3 KB
- templates/acl-skeleton.tex 4.0 KB
- templates/general-skeleton.tex 6.1 KB
- templates/iclr-skeleton.tex 3.5 KB
- templates/neurips-skeleton.tex 4.3 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 · 312 lines · 153 tokens per session scan A ad3afccef72b
paper-writing is a skill published in the GitHub repository voidful/academic-skills (126 stars, last pushed 5mo ago), licensed MIT. It adds 153 tokens to every session and 3,728 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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