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 post-acceptancegit 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/post-acceptance)<a href="https://agentmods.dev/skills/galaxy-dawn/claude-scholar/post-acceptance"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/post-acceptance/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/post-acceptance"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/post-acceptance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00066 | $0.01297 |
| Opus 5 | $0.00033 | $0.00648 |
| Sonnet 5 | $0.00013 | $0.00259 |
| Haiku 4.5 | $0.00007 | $0.00130 |
Grade A, and why
post-acceptance 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Post-Acceptance Conference Preparation
A post-acceptance conference preparation workflow that helps researchers efficiently complete presentations, posters, and promotional content.
Core Features
1. Presentation Slide Creation
Guidance for creating conference presentation slides:
Time Control
- 15-minute talk: 10-15 slides
- 20-minute talk: 15-20 slides
- 30-minute talk: 20-30 slides
- Average 1-1.5 minutes per slide
Content Structure
- Title slide (1)
- Motivation/Problem (2-3)
- Method overview (3-5)
- Key results (3-5)
- Conclusion (1-2)
- Q&A/Thank you (1)
Visual Design Principles
- One key message per slide
- Use figures and diagrams over text
- Consistent color scheme and fonts
- Minimum font size: 24pt for body, 32pt for titles
- High-contrast colors for readability
Presentation Tips
- Practice timing with a stopwatch
- Prepare backup slides for anticipated questions
- Use animations sparingly and purposefully
- Include slide numbers for Q&A reference
2. Academic Poster Design
Guidance for creating conference posters:
Standard Sizes
- Portrait: 24x36 inches or A0 (841x1189mm)
- Landscape: 36x24 inches or A0 landscape
- Check conference requirements for specific size
Layout Structure
- Title bar (top): Title, authors, affiliations, logos
- Introduction (left): Problem statement, motivation
- Method (center): Key approach, architecture diagram
- Results (right): Main findings, tables, figures
- Conclusion (bottom): Summary, future work, QR code
Design Guidelines
- Readable from 4-6 feet distance
- Title font: 72-96pt
- Section headers: 36-48pt
- Body text: 24-32pt
- Use bullet points, not paragraphs
- Include QR code linking to paper/code
3. Promotion Content Creation
Guidance for creating promotional content after paper acceptance:
Treat the accepted paper, supplementary material, and verified project links as the source of truth. Treat social posts as public context, not scholarly evidence. Keep unverified claims and missing links visible in the draft.
What ships with it
7 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.
- examples/post-acceptance-plan.md 204 B
- references/deliverable-checklists.md 344 B
- references/design-guidelines.md 2.4 KB
- references/poster-templates/basic-poster-template.md 496 B
- references/presentation-templates/basic-template.md 420 B
- references/promotion-examples/twitter-example.md 711 B
- references/xquik-promotion.md 3.0 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.
- 6d ago First seen · 171 lines · 66 tokens per session scan A d8dbd70c6a01
post-acceptance is a skill published in the GitHub repository Galaxy-Dawn/claude-scholar (5,407 stars, last pushed 14d ago), licensed MIT. It adds 66 tokens to every session and 1,297 once invoked, about $0.0003 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 2026-09-03.
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