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 claesbackman/AI-research-feedback --skill review-paper-codegit clone --depth 1 https://github.com/claesbackman/AI-research-feedbackWrote 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/claesbackman/ai-research-feedback/review-paper-code)<a href="https://agentmods.dev/skills/claesbackman/ai-research-feedback/review-paper-code"><img src="https://agentmods.dev/badge/skills/claesbackman/ai-research-feedback/review-paper-code.svg" alt="Measured on agentmods" 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 | $0.00055 | $0.02951 |
| Opus 5 | $0.00028 | $0.01476 |
| Sonnet 5 | $0.00011 | $0.00590 |
| Haiku 4.5 | $0.00006 | $0.00295 |
Grade A, and why
review-paper-code 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 8d 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 — 357 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Paper Code
Review a research project's paper and code for reproducibility, code quality, and paper-code alignment. Be constructive, concrete, and calibrated. Treat gaps as items to verify, not accusations.
Scope
This skill supports:
- LaTeX papers
- Stata (
.do), R (.R,.r), and Python (.py) code
Default review depth:
main: prioritize the main paper, main scripts, and core outputsfull: inspect all detected code files in scope
If no depth is provided, default to main.
Phase 1: Discover the Project
First parse $ARGUMENTS:
- If one argument looks like a
.texpath, use it asPAPER_FILE. - If one argument looks like a directory path, use it as
CODE_DIR. - If one argument is
mainorfull, use it asREVIEW_DEPTH.
If any of the above are missing, auto-detect them.
1. Find the paper
Use Glob to search for **/*.tex, excluding obvious build folders such as _minted-*, build/, output/, .git/, node_modules/.
Identify the main paper file as the best candidate containing \documentclass or \begin{document}.
If multiple candidates exist, first discard files whose document class is beamer (slides) and files whose name or folder suggests an old draft or a response letter (response*, letter*, slides*, old*, archive/, etc.). Then prefer:
- A path explicitly provided in
$ARGUMENTS - A file in
Writing/,writing/,Paper/,paper/,Draft/, or the repo root - The file that appears to include the most component files via
\input{}/\include{}
Record the result as PAPER_FILE.
2. Find the code
If CODE_DIR was not provided, look for likely code roots in this order:
Code/Analysis/code/analysis/scripts/src/programs/replication/
If no single directory is clearly best, use the repo root and limit later discovery to likely code files.
Record the result as CODE_DIR.
3. Find code files
Within CODE_DIR and subdirectories, find:
**/*.do**/*.R**/*.r**/*.py
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.
- 8d ago First seen · 357 lines · 0 tokens per session scan A e7728fc9b3d0
review-paper-code is a skill published in the GitHub repository claesbackman/AI-research-feedback (477 stars, last pushed 11d ago), licensed MIT. It adds 55 tokens to every session and 2,951 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 2026-08-30.
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