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 Boom5426/Nature-Paper-Skills --skill paper-workflowgit clone --depth 1 https://github.com/Boom5426/Nature-Paper-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/boom5426/nature-paper-skills/paper-workflow)<a href="https://agentmods.dev/skills/boom5426/nature-paper-skills/paper-workflow"><img src="https://agentmods.dev/badge/skills/boom5426/nature-paper-skills/paper-workflow/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/boom5426/nature-paper-skills/paper-workflow"><img src="https://agentmods.dev/badge/skills/boom5426/nature-paper-skills/paper-workflow.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 | $0.00225 | $0.03270 |
| Opus 5 | $0.00112 | $0.01635 |
| Sonnet 5 | $0.00045 | $0.00654 |
| Haiku 4.5 | $0.00022 | $0.00327 |
Grade A, and why
paper-workflow 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 6d 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 — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper Workflow: Dispatcher
This is the entry point, not a menu. A request such as 优化一下论文 or improve my manuscript
names a goal, not a layer. Manuscript work happens at distinct layers, and editing the wrong layer
first wastes the edit: a paragraph whose scientific role is wrong should never be polished, and a
sentence whose claim is unstable should never be re-punctuated.
Do not answer a general manuscript request by loading a single specialist skill. Classify the request, then run the whole chain for that class.
Default assumption: unless a conference venue is named, the manuscript follows the journal-oriented
Nature-style path.
Step 1: Classify by what was actually handed over
| Input | Class | Chain |
|---|---|---|
| One sentence or one paragraph | passage |
write-scientific-manuscript, then anti-defensive-writing if the passage is hedged or over-caveated, then scientific-prose-style |
| One section to draft or rewrite in prose | section |
scientific-writing, write-scientific-manuscript, anti-defensive-writing, then scientific-prose-style |
| A Results section that is scientifically settled but reads figure-by-figure | results-flow |
results-section-revision, anti-defensive-writing, then scientific-prose-style |
| A whole draft, or no unit named | manuscript |
manuscript-optimizer, scientific-writing, write-scientific-manuscript, anti-defensive-writing, then scientific-prose-style |
| Reads hedged, over-caveated, apologetic, or timid; too many disclaimers; a paragraph opens with a limitation | posture |
anti-defensive-writing, then scientific-prose-style. If the claim hierarchy is not yet settled, run manuscript-optimizer first: an unnecessary disclaimer and a real scope condition look identical while the claim is still moving |
| A Review, survey, or Perspective | review-article |
review-article-architecture first, then the Review path below |
| A long draft carried across many sessions | long-draft |
draft-marker-discipline then review-article-architecture drift audit |
| Near submission or resubmission | preflight |
submission-audit, citation-verifier, claim-source-verification, stats-reporting-audit, data-availability |
| Reviewer comments exist | response |
paper-reviewer to inventory every ask, rebuttal-response to draft and calibrate, then paper-reviewer again to grade the draft. paper-reviewer is not in the default recommended set; install it with --set all |
| A manuscript to referee, or a request to predict what reviewers will attack | referee |
paper-reviewer, installed with --set all |
| Figures are the bottleneck | figure |
figure-planner, then nature-figure to render, then figure-style to check. The last two are the figure stack, installed with --figure |
| No draft yet, project new or messy | bootstrap |
paper-bootstrap then nature-portfolio-playbook |
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.
- 6d ago Changed · +21 lines · +48 tokens per session 7aee52750269
- 7d ago Changed · +14 lines 629fe13cb5df
- 12d ago First seen · 182 lines · 177 tokens per session scan A 861263917034
paper-workflow is a skill published in the GitHub repository Boom5426/Nature-Paper-Skills (490 stars, last pushed 7d ago), licensed MIT. It adds 225 tokens to every session and 3,270 once invoked, about $0.0011 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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