by claesbackman · Claude Skill · ★ 275
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Using AI to get feedback on your research A collection of Claude Code skills for academic research review. This tool was developed by Claes Bäckman. Skills in this folder : Full referee-style paper review command. : Fast 2-agent paper check. : Paper-code reproducibility and alignment review. : Pre-analysis plan review command. : Grant proposal review command. Skills — Pre-Submission Referee Report Runs a rigorous pre-submission review of an academic paper, simulating the scrutiny of a specific journal's editorial board. Six specialized review agents run in parallel and consolidate their findings into a single structured report. What it reviews: Installation: For a project-local install: bash mkdir -p .claude/commands && curl -o
| Stars | 275 |
| Forks | 51 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 45.926/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-16 |
| Created | 2026-03-01 |
| Platforms | claude-code |
| Est. Tokens | ~7k |
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AI-research-feedback is A collection of Claude Code skills for academic research review. These tools were developed by Claes Bäckman.. It is categorized as a Claude Skill with 275 GitHub stars.
You can find installation instructions and usage details in the AI-research-feedback GitHub repository at github.com/claesbackman/AI-research-feedback. The project has 275 stars and 51 forks, indicating an active community.
AI-research-feedback is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to AI-research-feedback on Agent Skills Hub include claude-codex-settings, life-sciences, skyll. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.