Agent skill

Meta Results Risk Of Bias

by aipoch in aipoch/medical-research-skills

Generates the "Risk of Bias" results section for a meta-analysis based on assessment tables and statistics.

MITAuto-check passedData & Analytics

Install Meta Results Risk Of Bias

skills CLI
$ npx skills add aipoch/medical-research-skills --skill meta-results-risk-of-bias -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aipoch/medical-research-skills meta-results-risk-of-bias --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'scientific-skills/Academic Writing/meta-results-risk-of-bias' .claude/skills/meta-results-risk-of-bias && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
meta-results-risk-of-bias
GitHub stars
1.9k
Token cost
~2k tokens
SKILL.md length
965 words
Files
5 (incl. scripts)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Generates the "Risk of Bias" results section for a meta-analysis based on assessment tables and statistics.

  • Works in 2 steps: Draft the Content → Format the Result
  • The user wants to draft the risk of bias analysis text from provided data tables
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 15 more sections
  • Runs Python scripts from its folder; calls python

What it does

Meta Results Risk Of Bias is an agent skill from aipoch/medical-research-skills. Generates the "Risk of Bias" results section for a meta-analysis based on assessment tables and statistics. Use when the user wants to draft the risk of bias analysis text from provided data tables.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts (for example `POLISH_CHANGELOG.md`, `eval_report_meta-results-risk-of-bias_result.json` and `scripts/format_result.py`).

It sits in Data & Analytics, covering Statistics. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • The user wants to draft the risk of bias analysis text from provided data tables
  • Tasks that involve Statistics

Example prompts

  • “Risk of Bias”
  • “Use the meta-results-risk-of-bias skill to generate the "Risk of Bias" results section for a meta-analysis based on assessment tables and statistics”
  • “/meta-results-risk-of-bias”

Requirements

  • Python 3

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. Draft the Content
  2. Format the Result

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Meta Results Risk Of Bias loads about 2k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 965 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 965 words, ~2,015 tokens.

Download SKILL.mdSave it as .claude/skills/meta-results-risk-of-bias/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
meta-results-risk-of-bias
description
Generates the "Risk of Bias" results section for a meta-analysis based on assessment tables and statistics. Use when the user wants to draft the risk of bias analysis text from provided data tables.
license
MIT
author
AIPOCH

Source: https://github.com/aipoch/medical-research-skills

When to Use

  • Use this skill when the request matches its documented task boundary.
  • Use it when the user can provide the required inputs and expects a structured deliverable.
  • Prefer this skill for repeatable, checklist-driven execution rather than open-ended brainstorming.

Key Features

  • Scope-focused workflow aligned to: Generates the "Risk of Bias" results section for a meta-analysis based on assessment tables and statistics. Use when the user wants to draft the risk of bias analysis text from provided data tables.
  • Packaged executable path(s): scripts/format_result.py plus 1 additional script(s).
  • Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

  • Python: 3.10+. Repository baseline for current packaged skills.
  • Third-party packages: not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.

Example Usage

bash
cd "20260316/scientific-skills/Academic Writing/meta-results-risk-of-bias"
python -m py_compile scripts/format_result.py
python scripts/format_result.py --help

Example run plan:

  1. Confirm the user input, output path, and any required config values.
  2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
  3. Run python scripts/format_result.py with the validated inputs.
  4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

See ## Workflow above for related details.

  • Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
  • Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
  • Primary implementation surface: scripts/format_result.py with additional helper scripts under scripts/.
  • Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
  • Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Validation Shortcut

Run this minimal command first to verify the supported execution path:

bash
python scripts/format_result.py --help

Risk of Bias Results Generator

This skill generates a professional, academic "Risk of Bias" results section for a meta-analysis. It analyzes the provided statistics and detailed assessment table, drafts the text using a clinical expert persona, and automatically formats the output with necessary figure citations.

When to Use This Skill

Use this skill when the user provides:

  1. Title: The title of the meta-analysis.
  2. Language: Target language (Chinese or English).
  3. Statistics: A summary table of bias risk assessment.
  4. Detailed Assessment Table: Detailed scores for each study across domains (D1-D5).

And asks for:

  • A draft of the "Results" section regarding risk of bias.
  • An analysis of the bias risk.

Workflow

  1. Draft Text: Analyze the input tables and draft an academic summary (>300 words).
    • Summarize overall risk (High, Some concerns, Low).
    • Analyze each domain (D1-D5) specifically.
    • Use specific numbers from the statistics table.
  2. Format Output: Automatically insert the figure citation (Figure 1) before the last punctuation and append the figure caption.

Usage Instructions

1. Draft the Content

Use the following prompt to generate the initial text:

Role: Clinical Medical Expert

Task: Write an academic "Results" section based on the following inputs:

  • Title: {{title}}
  • Detailed Assessment Table: {{Detailed_Assessment_Table}}
  • Statistics: {{statistics}}

Requirements:

  1. Explicitly state the total number of studies evaluated.
  2. First, summarize the Overall bias risk (High, Some concerns, Low).
  3. Then, analyze each domain (D1-D5) specifically.
  4. Use specific numbers from the statistics table.
  5. Maintain a professional, objective, academic style.
  6. Length: >300 words.
  7. Language: {{language}}
2. Format the Result

Run the formatting script to insert the figure citation and caption.

bash
python scripts/format_result.py --text "<generated_text>" --language "{{language}}"

Tools and Scripts

  • scripts/format_result.py: Inserts (Figure 1) and appends the figure placeholder and caption.
Show full SKILL.md (412 more words)Show less

When Not to Use

  • Do not use this skill when the required source data, identifiers, files, or credentials are missing.
  • Do not use this skill when the user asks for fabricated results, unsupported claims, or out-of-scope conclusions.
  • Do not use this skill when a simpler direct answer is more appropriate than the documented workflow.

Required Inputs

  • A clearly specified task goal aligned with the documented scope.
  • All required files, identifiers, parameters, or environment variables before execution.
  • Any domain constraints, formatting requirements, and expected output destination if applicable.

Output Contract

  • Return a structured deliverable that is directly usable without reformatting.
  • If a file is produced, prefer a deterministic output name such as meta_results_risk_of_bias_result.md unless the skill documentation defines a better convention.
  • Include a short validation summary describing what was checked, what assumptions were made, and any remaining limitations.

Validation and Safety Rules

  • Validate required inputs before execution and stop early when mandatory fields or files are missing.
  • Do not fabricate measurements, references, findings, or conclusions that are not supported by the provided source material.
  • Emit a clear warning when credentials, privacy constraints, safety boundaries, or unsupported requests affect the result.
  • Keep the output safe, reproducible, and within the documented scope at all times.

Failure Handling

  • If validation fails, explain the exact missing field, file, or parameter and show the minimum fix required.
  • If an external dependency or script fails, surface the command path, likely cause, and the next recovery step.
  • If partial output is returned, label it clearly and identify which checks could not be completed.

Input Validation

This skill accepts requests that match the documented purpose of meta-results-risk-of-bias and include enough context to complete the workflow safely.

Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond:

meta-results-risk-of-bias only handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.

Quick Validation

Run this minimal verification path before full execution when possible:

bash
python scripts/format_result.py --help

Expected output format:

text
Result file: meta_results_risk_of_bias_result.md
Validation summary: PASS/FAIL with brief notes
Assumptions: explicit list if any

Deterministic Output Rules

  • Use the same section order for every supported request of this skill.
  • Keep output field names stable and do not rename documented keys across examples.
  • If a value is unavailable, emit an explicit placeholder instead of omitting the field.

Completion Checklist

  • Confirm all required inputs were present and valid.
  • Confirm the supported execution path completed without unresolved errors.
  • Confirm the final deliverable matches the documented format exactly.
  • Confirm assumptions, limitations, and warnings are surfaced explicitly.

© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts) in scientific-skills/Academic Writing/meta-results-risk-of-bias of aipoch/medical-research-skills.

  • SKILL.md
  • POLISH_CHANGELOG.md
  • eval_report_meta-results-risk-of-bias_result.json
  • scripts/format_result.py
  • scripts/validate_skill.py

Open the folder on GitHubat commit 686e09d

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Q-EDA Exploratory AnalysisTyrealQ/q-skills108—~1.1kAutomated safety check: PassMIT
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Questions about Meta Results Risk Of Bias

What does Meta Results Risk Of Bias do?

Generates the "Risk of Bias" results section for a meta-analysis based on assessment tables and statistics. Meta Results Risk Of Bias is an agent skill from aipoch/medical-research-skills. Generates the "Risk of Bias" results section for a meta-analysis based on assessment tables and statistics.

When should I use Meta Results Risk Of Bias?

Meta Results Risk Of Bias fits situations like: the user wants to draft the risk of bias analysis text from provided data tables; tasks that involve Statistics.

How do I install Meta Results Risk Of Bias in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill meta-results-risk-of-bias -a claude-code`. Or copy the skill folder (scientific-skills/Academic Writing/meta-results-risk-of-bias in aipoch/medical-research-skills) into .claude/skills/meta-results-risk-of-bias in your project. Claude Code loads it when a task matches its description.

How do I install Meta Results Risk Of Bias in Codex?

Run `npx skills add aipoch/medical-research-skills --skill meta-results-risk-of-bias -a codex`. Or copy the skill folder (scientific-skills/Academic Writing/meta-results-risk-of-bias in aipoch/medical-research-skills) into .agents/skills/meta-results-risk-of-bias in your project. Codex loads it when a task matches its description.

Can I use Meta Results Risk Of Bias in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aipoch/medical-research-skills --skill meta-results-risk-of-bias -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meta-results-risk-of-bias, .gemini/skills/meta-results-risk-of-bias, .github/skills/meta-results-risk-of-bias and .opencode/skills/meta-results-risk-of-bias in your project.

What does Meta Results Risk Of Bias need to run?

Going by SKILL.md and its folder, Meta Results Risk Of Bias needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Meta Results Risk Of Bias access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Meta Results Risk Of Bias safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Meta Results Risk Of Bias use?

Meta Results Risk Of Bias is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Meta Results Risk Of Bias use?

About 2k tokens (SKILL.md is roughly 8.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Meta Results Risk Of Bias?

Skills that share tags, products or a category with Meta Results Risk Of Bias: Statistical Power (spacering-net/codeg, 3.9k stars), Statistical Data Analysis (lingzhi227/agent-research-skills, 390 stars), Q-EDA Exploratory Analysis (TyrealQ/q-skills, 108 stars) and Rounding (RConsortium/pharma-skills, 120 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Meta Results Risk Of Bias?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.