mcpbeat

Bias Assessor

willoscar/bias-assessor

| Use when `evidence-review` has an extraction table and needs lightweight risk-of-bias fields.

975 tokens
context cost
the whole folder, loaded on every use
2
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
496
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill bias-assessor

What comes with it

2 588 bytes besides the instruction
scripts/run.py

The instruction itself

7 sections, as written by the author

Bias Assessor

Enriches the extraction table with lightweight risk-of-bias fields for evidence-review.

Input

  • papers/extraction_table.csv

Output

  • updated papers/extraction_table.csv

Contract

The table should expose stable RoB columns:

  • rob_selection
  • rob_measurement
  • rob_confounding
  • rob_reporting
  • rob_overall
  • rob_notes

Allowed values are fixed:

  • low
  • unclear
  • high

Script boundary

scripts/run.py should:

  • add missing RoB columns
  • assign a conservative overall score
  • keep notes brief

Acceptance

  • RoB columns exist
  • all included rows have values
  • values stay within the fixed scale

Non-goals

  • deep methodological critique
  • rewriting extraction contents

How to use it

Copy the folder

Take willoscar/bias-assessor from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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