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 review-article-architecturegit 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/review-article-architecture)<a href="https://agentmods.dev/skills/boom5426/nature-paper-skills/review-article-architecture"><img src="https://agentmods.dev/badge/skills/boom5426/nature-paper-skills/review-article-architecture/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/review-article-architecture"><img src="https://agentmods.dev/badge/skills/boom5426/nature-paper-skills/review-article-architecture.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 | $0.00090 | $0.02912 |
| Opus 5.5 | $0.00036 | $0.01165 |
| Sonnet 5.5 | $0.00018 | $0.00582 |
| Haiku 4.5 | $0.00009 | $0.00291 |
Grade A, and why
review-article-architecture 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 28d 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 — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Article Architecture
Overview
A Review fails differently from a research article. A research article drifts by overclaiming past its own data. A Review drifts by becoming a different Review: the argument that felt strongest in session 20 quietly replaces the argument the piece was commissioned to make, and because each individual edit was an improvement, nothing looks wrong until someone reads it against the brief.
That is not hypothetical. One commissioned Review in this lineage drifted over several sessions into a metrology argument about cross-sensor interoperability. It was internally consistent, well sourced, and would have been a reasonable paper. It was the wrong paper, it violated four explicit constraints of its own brief, and it had to be reverted wholesale.
This skill is the machinery that makes that drift detectable and mostly preventable.
When To Use
Use this skill when:
- writing or revising a commissioned, invited, or submitted Review, survey, or Perspective
- a Review is being written across many sessions, by several people, or by agents
- the piece has an explicit brief, synopsis, or commissioning plan
- structure, section ownership, terminology, or display-item count is unstable
- an outline exists and the question is whether the draft still matches it
Do not use this skill for:
- research articles with Results and Methods. Use
manuscript-optimizer. - venue selection among Nature journals. Use
nature-portfolio-playbook. - sentence-level prose. Use
scientific-prose-styleafter this is stable. - finding, summarizing, or comparing the literature itself. Use
academic-researcher(optional set, installed with--set all); this skill governs the article's structure, not source discovery. - deciding what each figure argues. Use
figure-planner; this skill decides which section owns it and how many there may be.
1. The Governing Document Is Authoritative, Not Advisory
Designate exactly one file as the brief, and give it authority in writing:
What ships with it
2 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.
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.
- 28d ago Changed · +2 lines 237a8900f2d8
- 1mo ago First seen · 271 lines · 90 tokens per session scan A 6b656d7e8534
review-article-architecture is a skill published in the GitHub repository Boom5426/Nature-Paper-Skills (637 stars, last pushed 15d ago), licensed MIT. It adds 90 tokens to every session and 2,912 once invoked, about $0.0004 per session on Opus 5.5. 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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