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Agent skill

Meta Results Funnel Plot Generator

by aipoch in aipoch/medical-research-skills

Generates a Meta-analysis results section description for funnel plots, including statistical tables (Egger's, Begg's, Trim & Fill) and figure legends.

MITAuto-check passedData & Analytics

Install Meta Results Funnel Plot Generator

skills CLI
$ npx skills add aipoch/medical-research-skills --skill meta-results-funnel-plot-generator -a claude-code

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

GitHub CLI
$ gh skill install aipoch/medical-research-skills meta-results-funnel-plot-generator --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-funnel-plot-generator' .claude/skills/meta-results-funnel-plot-generator && 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-funnel-plot-generator
GitHub stars
2k
Token cost
~1.4k tokens
SKILL.md length
680 words
Files
5 (incl. scripts, references)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Generates a Meta-analysis results section description for funnel plots, including statistical tables (Egger's, Begg's, Trim & Fill) and figure legends.

  • Works in 4 steps: Confirm the user input, output path, and… → Edit the in-file CONFIG block or… → Run python scripts/main.py with the… → …
  • User provides a funnel plot image and statistics and wants a formatted report
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 7 more sections
  • Runs Python scripts from its folder; calls python

What it does

Meta Results Funnel Plot Generator is an agent skill from aipoch/medical-research-skills. Generates a Meta-analysis results section description for funnel plots, including statistical tables (Egger's, Begg's, Trim & Fill) and figure legends. Supports English and Chinese outputs. Use when user provides a funnel plot image and statistics and wants a formatted report.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `POLISH_CHANGELOG.md`, `eval_report_meta-results-funnel-plot-generator_result.json` and `references/prompts.md`).

It sits in Data & Analytics, covering Statistics. It works with Python. 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

  • User provides a funnel plot image and statistics and wants a formatted report
  • Tasks that involve Statistics

Example prompts

  • “s, Begg”
  • “Use the meta-results-funnel-plot-generator skill to generate a Meta-analysis results section description for funnel plots, including statistical…”
  • “/meta-results-funnel-plot-generator”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  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/main.py with the validated inputs.
  4. Review the generated output and return the final artifact with any assumptions called out.

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 1 file 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 Funnel Plot Generator loads about 1.4k tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 78 tokens; SKILL.md has 680 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.7k

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). 680 words, ~1,439 tokens.

Download SKILL.mdSave it as .claude/skills/meta-results-funnel-plot-generator/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
meta-results-funnel-plot-generator
description
Generates a Meta-analysis results section description for funnel plots, including statistical tables (Egger's, Begg's, Trim & Fill) and figure legends. Supports English and Chinese outputs. Use when user provides a funnel plot image and statistics and wants a formatted report.
license
MIT
author
AIPOCH

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

Meta-Analysis Funnel Plot Generator

This skill generates a standardized meta-analysis result section based on a funnel plot image, statistical data, and a title. It orchestrates LLM generation for descriptions and tables, then uses a Python script to assemble the final report.

When to Use

  • Use this skill when you need generates a meta-analysis results section description for funnel plots, including statistical tables (egger's, begg's, trim & fill) and figure legends. supports english and chinese outputs. use when user provides a funnel plot image and statistics and wants a formatted report in a reproducible workflow.
  • Use this skill when a academic writing task needs a packaged method instead of ad-hoc freeform output.
  • Use this skill when the user expects a concrete deliverable, validation step, or file-based result.
  • Use this skill when scripts/main.py is the most direct path to complete the request.
  • Use this skill when you need the meta-results-funnel-plot-generator package behavior rather than a generic answer.

Key Features

  • Scope-focused workflow aligned to: Generates a Meta-analysis results section description for funnel plots, including statistical tables (Egger's, Begg's, Trim & Fill) and figure legends. Supports English and Chinese outputs. Use when user provides a funnel plot image and statistics and wants a formatted report.
  • Packaged executable path(s): scripts/main.py.
  • Reference material available in references/ for task-specific guidance.
  • 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

See ## Usage above for related details.

bash
cd "20260316/scientific-skills/Academic Writing/meta-results-funnel-plot-generator"
python -m py_compile scripts/main.py
python scripts/main.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/main.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/main.py.
  • Reference guidance: references/ contains supporting rules, prompts, or checklists.
  • 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.
Show full SKILL.md (288 more words)Show less

Usage

Trigger this skill when the user provides:

  1. Funnel Plot Image: The visual plot.
  2. Statistics: Text containing statistical data (Egger's test, Begg's test, Trim & Fill).
  3. Title/Outcome: Context for the analysis.
  4. Language: "Chinese" or "English".

Workflow

  1. Generate Description: Use LLM to describe the funnel plot (symmetry, outliers) based on the image and stats.
  2. Generate Tables: Use LLM to format the provided statistics into three specific Markdown tables:
    • Egger's test (Bias assessment)
    • Begg's test
    • Trim and Fill method
  3. Assemble Report: Run scripts/main.py to:
    • Clean LLM outputs (remove markdown fences).
  • Insert figure reference "(Figure 3)" or "(Figure 3)" into the description. * Combine Description, Image Placeholder, Figure Legend, and Tables into the final output.

Quality Rules

  • Language: Output must match the requested language (Chinese/English).
  • Structure: The final output must strictly follow the order: Description -> Figure -> Legend -> Tables.
  • Formatting: Tables must be standard Markdown.

Reference

See prompts.md for the LLM prompts used in this workflow.

Error Handling

  • If required inputs are missing, state exactly which fields are missing and request only the minimum additional information.
  • If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
  • If execution fails, report the failure point, summarize what can still be completed safely, and provide a manual fallback.
  • Do not fabricate files, citations, data, search results, or execution outcomes.

Input Validation

This skill accepts requests that match the documented purpose of meta-results-funnel-plot-generator 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-funnel-plot-generator only handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.

© 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, references) in scientific-skills/Academic Writing/meta-results-funnel-plot-generator of aipoch/medical-research-skills.

  • SKILL.md
  • POLISH_CHANGELOG.md
  • eval_report_meta-results-funnel-plot-generator_result.json
  • references/prompts.md
  • scripts/main.py

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Meta Results Funnel Plot Generator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Meta Results Funnel Plot Generator compared with similar skills
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Meta Results Funnel Plot Generator this skillaipoch/medical-research-skills2k—~1.4kAutomated safety check: PassMIT
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Q-EDA Exploratory AnalysisTyrealQ/q-skills108—~1.1kAutomated safety check: PassMIT
PyMC Bayesian Modelingdavila7/claude-code-templates32k11 repos~3.9kAutomated safety check: PassMIT
scikit-survival Time-to-Event Modelingdavila7/claude-code-templates32k11 repos~3.7kAutomated safety check: PassMIT
Bio Metagenomics VisualizationGPTomics/bioSkills1.2k1 repos~3.7kAutomated safety check: PassMIT

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Works with

Categories

Questions about Meta Results Funnel Plot Generator

What does Meta Results Funnel Plot Generator do?

Generates a Meta-analysis results section description for funnel plots, including statistical tables (Egger's, Begg's, Trim & Fill) and figure legends. Meta Results Funnel Plot Generator is an agent skill from aipoch/medical-research-skills. Generates a Meta-analysis results section description for funnel plots, including statistical tables (Egger's, Begg's, Trim & Fill) and figure legends.

When should I use Meta Results Funnel Plot Generator?

Meta Results Funnel Plot Generator fits situations like: user provides a funnel plot image and statistics and wants a formatted report; tasks that involve Statistics.

How do I install Meta Results Funnel Plot Generator in Claude Code?

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

How do I install Meta Results Funnel Plot Generator in Codex?

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

Can I use Meta Results Funnel Plot Generator 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-funnel-plot-generator -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-funnel-plot-generator, .gemini/skills/meta-results-funnel-plot-generator, .github/skills/meta-results-funnel-plot-generator and .opencode/skills/meta-results-funnel-plot-generator in your project.

What does Meta Results Funnel Plot Generator need to run?

Going by SKILL.md and its folder, Meta Results Funnel Plot Generator 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 Funnel Plot Generator 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 Funnel Plot Generator 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 Funnel Plot Generator use?

Meta Results Funnel Plot Generator 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 Funnel Plot Generator use?

About 1.4k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 263 tokens, read only when the agent opens those files.

What are the alternatives to Meta Results Funnel Plot Generator?

Skills that share tags, products or a category with Meta Results Funnel Plot Generator: Statistical Data Analysis (lingzhi227/agent-research-skills, 386 stars), Q-EDA Exploratory Analysis (TyrealQ/q-skills, 108 stars), PyMC Bayesian Modeling (davila7/claude-code-templates, 32k stars) and scikit-survival Time-to-Event Modeling (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Meta Results Funnel Plot Generator?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,978 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.