smithery/willoscar

bias-assessor

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

Installation

$ npx skills add smithery/willoscar --skill bias-assessor

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,337 B
  • docs SUMMARY.md 541 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Bias Assessor

Triggers & routing

  • Trigger: bias, risk-of-bias, RoB, evidence quality, 偏倚评估, 证据质量.
  • Use when: evidence-review 已生成 papers/extraction_table.csv,需要在 synthesis 前补齐偏倚/质量字段。
  • Skip if: 不是 evidence/systematic review,或还没有 papers/extraction_table.csv
  • Network: none.
  • Guardrail: 使用简单可复核刻度(low/unclear/high)+ 简短 notes;保持字段一致性。

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