> Use when the user wants to verify paper claims against code or data, audit numerical accuracy, check formula-code alignment, or validate citation accuracy. Triggers on phrases like "verify claims", "check numbers", "do the numbers match", "formula vs code", "audit the paper", or "cross-check results".
1k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
356
stars on the repo
on the repository, not the skill itself
Install
one command, takes just this skill from the repository
You are helping a researcher verify that their paper accurately reflects their code and experimental results. This is the most critical quality control step in academic writing.
Verification Dimensions
1. Numerical Accuracy Audit
For every number in the paper (dataset sizes, metric values, percentages, counts):
Extract the number and its context from the .tex file
Trace it to its source: code output, result file, log, or tracking system
Verify the value matches exactly (watch for rounding, percentage vs decimal)