Paper claim extractor

Skill maximussthegreat/ml-researcher-os/skills/paper-claim-extractor

Agent skills and workflows for reproducible ML research.

Install

npx -y skills add maximussthegreat/ml-researcher-os --skill paper-claim-extractor

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when reading an ML paper, abstract, README, or result section and the task is to extract claims, assumptions, experiments, limitations, or implementation requirements.

SKILL.md

1.4 KB, as published. Nobody here has run it

Paper Claim Extractor

Use this skill before implementing, reproducing, or summarizing an ML paper.

Goal

Convert paper text into a structured research brief that makes the agent slow down before coding.

Required output

Produce these sections:

Core claim
Evidence table
Assumptions
Datasets and splits
Metrics
Baselines
Ablations
Implementation requirements
Limitations
Questions before reproduction

Evidence table format

Claim	Evidence in text	Evidence type	Confidence	Reproduction note

Evidence type must be one of:

reported_result
method_description
ablation
theory
author_claim
missing

Confidence must be one of:

high
medium
low

Rules

Do not treat the paper's conclusion as ground truth.
Do not invent datasets, hyperparameters, or baselines.
If a detail is missing, write not specified.
Separate what the paper reports from what you infer.
Flag any claim that depends on a single dataset, a weak baseline, or missing ablations.

Final check

End with:

Ready to plan experiments: yes/no
Blocking missing details:
- ...