Borrowing it
Nothing to install: this file belongs to u9401066/med-paper-assistant. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/u9401066/med-paper-assistant/master/.claude/skills/submission-preparation/SKILL.mdgit clone --depth 1 https://github.com/u9401066/med-paper-assistantWrote 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/u9401066/med-paper-assistant/submission-preparation)<a href="https://agentmods.dev/skills/u9401066/med-paper-assistant/submission-preparation"><img src="https://agentmods.dev/badge/skills/u9401066/med-paper-assistant/submission-preparation/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/u9401066/med-paper-assistant/submission-preparation"><img src="https://agentmods.dev/badge/skills/u9401066/med-paper-assistant/submission-preparation.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 | $0.00022 | $0.00694 |
| Opus 5 | $0.00011 | $0.00347 |
| Sonnet 5 | $0.00004 | $0.00139 |
| Haiku 4.5 | $0.00002 | $0.00069 |
Grade A, and why
submission-preparation 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Submission Preparation Skill
觸發:投稿準備、cover letter、highlights、reviewer response、revision、投稿 checklist
不使用 MCP 工具 — Agent 直接按模板生成內容。
支援期刊
| 代碼 | 期刊 | 字數 | Abstract | Refs | Figs | Tables |
|---|---|---|---|---|---|---|
| bja | British J Anaesthesia | 3500 | 250 | 40 | 6 | 5 |
| anesthesiology | Anesthesiology | 4500 | 300 (structured) | 50 | 6 | 5 |
| aa | Anesthesia & Analgesia | 3500 | 400 | 35 | 6 | 5 |
| jama | JAMA | 3000 | 350 (structured) | 40 | 4 | 4 |
| nejm | NEJM | 2500 | 250 | 40 | 4 | 4 |
| lancet | Lancet | 3500 | 300 | 30 | 5 | 5 |
| ccm | Critical Care Medicine | 3000 | 250 | 50 | 6 | 5 |
| generic | Generic | 4000 | 300 | 50 | 6 | 5 |
所有期刊都要求:Author Contributions, COI Statement, Ethics Statement, Data Availability
Cover Letter
結構:Dear Editor → Title → 3 Key Highlights (from concept.md novelty) → Not published elsewhere → Statements (per journal) → Suggested Reviewers → Corresponding Author + ORCID
生成規則:從 concept.md 取 title + novelty。不要遺留 [PLACEHOLDER]。Ethics number 由用戶提供。
Highlights
- 3-5 bullets, 每條 ≤125 chars
- 第一條 = novelty/innovation, 最後一條 = clinical impact
Reviewer Response
| 格式 | 適用 |
|---|---|
| Structured(推薦) | > Comment → Response → Changes made (page/line) |
| Table | # / Comment / Response / Changes |
| Letter | 正式書信體 |
Comment 解析:Reviewer #N: 分隔 reviewer,1. / - / • 分隔 comments。
Revision Change Format:Location + Original + Revised + Summary of Changes table
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 · 74 lines · 22 tokens per session scan A ed41c6a2dec2
submission-preparation is a skill published in the GitHub repository u9401066/med-paper-assistant (12 stars, last pushed 10d ago), licensed Apache-2.0. It adds 22 tokens to every session and 694 once invoked, about $0.0001 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.
Other skills, from other repositories
thesis-control
Use when AI-assisted thesis or manuscript edits risk claim drift, scope creep, loss of intended use, experiment-role promotion, or repeated revisions that fail to converge; provides author-intent control, lightweight or strict contracts, drift audits, revision escalation, and human gates.
manuscript-reframe
Reframe report-like academic drafts into paper-form scientific arguments while preserving or explicitly renegotiating author intent; requires an approved old-versus-proposed spine, evidence and argument baselines, analysis-role control, and post-edit drift review.
tikz-figure-review
Review and fix alignment, label collision, clipping, legend-over-data, overlap, and layout issues in TikZ and pgfplots figures inside LaTeX documents. Use when the user wants to review figures in a paper, tutorial, lecture notes, or thesis before submission; when a reviewer flags figure problems; when a rendered…
animating-computational-mechanics
Animate continuum mechanics, tensor calculus, and finite element concepts — deformation gradients, polar decomposition, Cauchy/Piola–Kirchhoff stresses, weak form, mesh convergence — using Matplotlib (FuncAnimation), Manim (ValueTracker / applyfunction / Transform), or Blender (bpy + ParaView .obj pipeline). Use when…
refining-ml-papers
Refines ML/scientific LaTeX papers based on reviewer or advisor feedback. Handles structural reorganization (moving problem statements, merging sections), concrete instantiations of abstract tables, cross-file deduplication, and compilation verification. Use when the user requests paper revisions, addresses reviewer…
rigorous-paper-reviewer
Review a LaTeX research paper for mathematical rigor, notation consistency, proof obligations, numerical-analysis discipline, complexity claims, convergence/error bounds, figure quality, reader-state flow, cross-references, and global coherence. Use when the user wants a deep technical review or verification pass on a…