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 review-responsegit 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/review-response)<a href="https://agentmods.dev/skills/galaxy-dawn/claude-scholar/review-response"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/review-response/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/review-response"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/review-response.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 3 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00051 | $0.01175 |
| Opus 5 | $0.00026 | $0.00588 |
| Sonnet 5 | $0.00010 | $0.00235 |
| Haiku 4.5 | $0.00005 | $0.00118 |
Grade A, and why
review-response 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 7d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Response
A systematic review response workflow that helps researchers efficiently and professionally reply to reviewer comments.
Core Features
- Review Analysis - Parse and classify reviewer comments (Major/Minor/Typo/Misunderstanding)
- Response Strategy - Develop response strategies for different comment types (Accept/Defend/Clarify/Experiment)
- Rebuttal Writing - Write structured, professional rebuttal documents
- Tone Management - Optimize tone to maintain professionalism, respect, and evidence-based arguments
Workflow
Receive reviewer comments -> Parse and classify -> Develop strategy -> Write responses -> Tone check -> Final rebuttal
When to Use
Use this skill when you need to:
- "Help me write a rebuttal"
- "How to respond to reviewer comments"
- "Analyze these review comments"
- "Develop a review response strategy"
Usage Steps
- Provide reviewer comments - Share the reviewer comments text or file with Claude
- Analysis and classification - Claude automatically parses and classifies the comments
- Strategy recommendations - Receive response strategy suggestions for each comment
- Write rebuttal - Generate a structured rebuttal document based on the strategy
- Optimize tone - Review and optimize the professionalism and politeness of responses
Core Principles
- Professionalism - Maintain an academically professional tone and expression
- Respectfulness - Respect the reviewers' opinions and time
- Evidence-based - Support every response with sufficient reasoning and evidence
- Completeness - Ensure all reviewer comments receive a response
Success Factors (Based on ICLR Spotlight Paper Analysis)
Key lessons extracted from successful rebuttal cases:
1. Acknowledge Strengths, Respond Positively to Criticism
- Reviewers will first acknowledge the paper's strengths (novelty, impact, practical applicability)
- Even spotlight papers receive constructive criticism
- Strategy: Thank reviewers for acknowledged strengths first, then address criticism specifically
What ships with it
5 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.
- 7d ago First seen · 132 lines · 51 tokens per session scan A f98a40dc5df7
review-response is a skill published in the GitHub repository Galaxy-Dawn/claude-scholar (5,419 stars, last pushed 14d ago), licensed MIT. It adds 51 tokens to every session and 1,175 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.
Other skills, from other repositories
review-response
Systematic reviewer response workflow: parse comments, classify by severity, develop response strategy, write structured rebuttal. Use when asked to 'write rebuttal', 'respond to reviewers', 'draft review response', or 'handle R&R'.
review-response
Systematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper acceptance rates.
review-response
Systematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper acceptance rates.
review-response
Systematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper acceptance rates.
stss
Reduce defensive disclaimers, stacked hedging, and self-protective narration in proposals and decision-facing writing. Use when the user asks to rewrite or audit a proposal, plan, research contribution, executive summary, or similar text for directness. Do not use for ordinary code work or unrelated prose.
research
Performs deep research on a topic via deepresearch. Simulates a multi-step research process and returns a comprehensive research result as a string.