Claude Scholar is a semi-automated research assistant for academic research and software development, supporting literature review, coding, experiments, reporting, writing, and project knowledge management. Computer science and AI researchers use it across the research workflow with several coding-agent platforms; the catalogue contains its skills, commands, agents, hooks, plugin, and instruction.
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 Galaxy-Dawn/claude-scholar --skill nature-writinggit clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholarWrote 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/galaxy-dawn/claude-scholar/nature-writing)<a href="https://agentmods.dev/skills/galaxy-dawn/claude-scholar/nature-writing"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/nature-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/galaxy-dawn/claude-scholar/nature-writing"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/nature-writing.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 | $0.00063 | $0.01530 |
| Opus 5.5 | $0.00025 | $0.00612 |
| Sonnet 5.5 | $0.00013 | $0.00306 |
| Haiku 4.5 | $0.00006 | $0.00153 |
Grade A, and why
nature-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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- nature-writing — 100% identical, 10 lines differ
How it starts
The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nature-Style Scientific Writing
Use this skill when the user needs help creating or rebuilding manuscript prose, not merely polishing existing sentences.
Core stance
- Author evidence comes first. Do not invent results, mechanisms, references, methods, novelty, sample sizes, statistics or limitations.
- Write the argument before writing the sentences.
- Make the paper easy to judge: relevance, novelty, trust, reuse and meaning.
- Use ambitious but bounded claims.
- If essential evidence is missing, write a placeholder or ask for the missing input instead of filling the gap.
Mined writing memory
Before drafting or restructuring academic prose, check the active installed
skills/ml-paper-writing/references/knowledge/paper-miner-writing-memory.md
under the current client's skill home. Read only entries relevant to this paper's
section, article type, and venue. Use mined patterns for structure and wording
ideas, while grounding every claim in the author's evidence and the target
journal's requirements. Do not copy source phrasing. If the memory is absent or
has no relevant entries, continue with this skill's references.
When to open extra files
| File | Open when |
|---|---|
| references/article-architecture.md | You need section-level structure, argument order, or published-article writing patterns |
| references/abstract.md | Drafting or revising an abstract, especially challenge-contribution and challenge-insight-contribution forms |
| references/introduction.md | Drafting or revising an Introduction, task framing, technical challenge, contribution framing, or teaser/pipeline logic |
| references/related-work.md | Rebuilding Related Work as topic synthesis instead of a paper-by-paper list |
| references/method.md | Writing Method sections, pipeline modules, module motivation, technical advantages, or implementation details |
| references/experiments.md | Planning or writing Experiments/Results around baselines, ablations, metrics, tables, figures, and claim support |
| references/conclusion.md | Writing a bounded conclusion with contribution, evidence, impact, limitation, and future direction |
| references/paragraph-flow.md | User asks whether a paragraph flows, makes sense, or is clear; use reverse outlining and paragraph-message checks |
| references/paper-review.md | Final manuscript self-review, rejection-risk audit, claim-evidence alignment, or reviewer-facing critique |
| references/chinese-author-workflow.md | The user's notes are Chinese, mixed Chinese-English, or organized as lab notes rather than manuscript prose |
| references/examples/index.md | You need concrete abstract, introduction, or method examples after choosing the relevant guide |
What ships with it
41 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.
- agents/openai.yaml 270 B
- README.md 2.1 KB
- references/abstract.md 3.5 KB
- references/article-architecture.md 3.1 KB
- references/chinese-author-workflow.md 1.4 KB
- references/conclusion.md 1.2 KB
- references/examples/abstract-examples.md 875 B
- references/examples/abstract/template-a.md 950 B
- references/examples/abstract/template-b.md 3.2 KB
- references/examples/abstract/template-c.md 1.7 KB
- references/examples/index.md 2.3 KB
- references/examples/introduction-examples.md 1.5 KB
- references/examples/introduction/novel-task-challenge-decomposition.md 1.5 KB
- references/examples/introduction/pipeline-not-recommended-abstract-only.md 2.9 KB
- references/examples/introduction/pipeline-version-1-one-contribution-multi-advantages.md 2.0 KB
- references/examples/introduction/pipeline-version-2-two-contributions.md 2.0 KB
- references/examples/introduction/pipeline-version-3-new-module-on-existing-pipeline.md 1.5 KB
- references/examples/introduction/pipeline-version-4-observation-driven.md 1.4 KB
- references/examples/introduction/technical-challenge-version-1-existing-task.md 2.6 KB
- references/examples/introduction/technical-challenge-version-2-existing-task-insight-backed-by-traditional.md 3.8 KB
- references/examples/introduction/technical-challenge-version-3-novel-task.md 1.6 KB
- references/examples/introduction/version-1-task-then-application.md 727 B
- references/examples/introduction/version-2-application-first.md 405 B
- references/examples/introduction/version-3-general-to-specific-setting.md 847 B
- references/examples/introduction/version-4-open-with-challenge.md 1.7 KB
- references/examples/method-examples.md 1.0 KB
- references/examples/method/example-of-the-three-elements.md 7.3 KB
- references/examples/method/method-writing-common-issues-note.md 355 B
- references/examples/method/module-design-instant-ngp.md 4.5 KB
- references/examples/method/module-motivation-patterns.md 410 B
- references/examples/method/module-triad-neural-body.md 763 B
- references/examples/method/neural-body-annotated-figure-text.md 2.8 KB
- references/examples/method/overview-template.md 2.0 KB
- references/examples/method/pre-writing-questions.md 479 B
- references/examples/method/section-skeleton.md 110 B
- references/experiments.md 4.4 KB
- references/introduction.md 15 KB
- references/method.md 6.1 KB
- references/paper-review.md 5.3 KB
- references/paragraph-flow.md 1.7 KB
- references/related-work.md 1.3 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.
- 1mo ago Changed · +10 lines f156e70f990d
- 1mo ago First seen · 160 lines · 63 tokens per session scan A 9cf73605a225
nature-writing is a skill published in the GitHub repository Galaxy-Dawn/claude-scholar (5,917 stars, last pushed 9d ago), licensed MIT. It adds 63 tokens to every session and 1,530 once invoked, about $0.0003 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 2026-09-03.
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