Agent skill

Meta Screening Fulltext

by aipoch in aipoch/medical-research-skills

Screen full-text papers against inclusion/exclusion criteria, with optional PubMed metadata check using PMID.

Install Meta Screening Fulltext

skills CLI

$ npx skills add aipoch/medical-research-skills --skill meta-screening-fulltext -a claude-code

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

GitHub CLI

$ gh skill install aipoch/medical-research-skills meta-screening-fulltext --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/Data Analysis/meta-screening-fulltext' .claude/skills/meta-screening-fulltext && 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/

Paste into Claude Code

Install the "meta-screening-fulltext" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Data%20Analysis/meta-screening-fulltext into .claude/skills/meta-screening-fulltext/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-screening-fulltext", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Data%20Analysis/meta-screening-fulltext

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add aipoch/medical-research-skills --skill meta-screening-fulltext -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install aipoch/medical-research-skills meta-screening-fulltext --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'scientific-skills/Data Analysis/meta-screening-fulltext' .agents/skills/meta-screening-fulltext && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "meta-screening-fulltext" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Data%20Analysis/meta-screening-fulltext into .agents/skills/meta-screening-fulltext/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-screening-fulltext", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aipoch/medical-research-skills --skill meta-screening-fulltext -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install aipoch/medical-research-skills meta-screening-fulltext --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'scientific-skills/Data Analysis/meta-screening-fulltext' .cursor/skills/meta-screening-fulltext && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "meta-screening-fulltext" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Data%20Analysis/meta-screening-fulltext into .cursor/skills/meta-screening-fulltext/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-screening-fulltext", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/aipoch/medical-research-skills.git --path 'scientific-skills/Data Analysis/meta-screening-fulltext'

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add aipoch/medical-research-skills --skill meta-screening-fulltext -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install aipoch/medical-research-skills meta-screening-fulltext --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'scientific-skills/Data Analysis/meta-screening-fulltext' .gemini/skills/meta-screening-fulltext && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "meta-screening-fulltext" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Data%20Analysis/meta-screening-fulltext into .gemini/skills/meta-screening-fulltext/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-screening-fulltext", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install aipoch/medical-research-skills meta-screening-fulltext

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add aipoch/medical-research-skills --skill meta-screening-fulltext -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/'scientific-skills/Data Analysis/meta-screening-fulltext' .github/skills/meta-screening-fulltext && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "meta-screening-fulltext" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Data%20Analysis/meta-screening-fulltext into .github/skills/meta-screening-fulltext/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-screening-fulltext", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aipoch/medical-research-skills --skill meta-screening-fulltext -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install aipoch/medical-research-skills meta-screening-fulltext --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'scientific-skills/Data Analysis/meta-screening-fulltext' .opencode/skills/meta-screening-fulltext && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "meta-screening-fulltext" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Data%20Analysis/meta-screening-fulltext into .opencode/skills/meta-screening-fulltext/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-screening-fulltext", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: meta-screening-fulltext
GitHub stars: 2k
Token cost: ~1.4k tokens
SKILL.md length: 657 words
Files: 3
Skills in repo: 578
Repo updated: Sep 17, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Screen full-text papers against inclusion/exclusion criteria, with optional PubMed metadata check using PMID.

Works in 4 steps: Confirm the user input, output path, and… → Edit the in-file CONFIG block or… → Run python scripts/extract_pdf.py with… → …
The user needs to evaluate a paper for a meta-analysis
SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 6 more sections
Calls python

What it does

Meta Screening Fulltext is an agent skill from aipoch/medical-research-skills. Screen full-text papers against inclusion/exclusion criteria, with optional PubMed metadata check using PMID. Use when the user needs to evaluate a paper for a meta-analysis.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `POLISH_CHANGELOG.md` and `eval_report_meta-screening-fulltext_result.json`).

It sits in Research & Science, covering Academic paper search and Data analysis. It works with PubMed. 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 needs to evaluate a paper for a meta-analysis
Tasks that involve Academic paper search
Tasks that involve Data analysis

Example prompts

“/meta-screening-fulltext”

Requirements

Python 3

Workflow steps

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

Confirm the user input, output path, and any required config values.
Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
Run python scripts/extract_pdf.py with the validated inputs.
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
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 Screening Fulltext loads about 1.4k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 657 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~50
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 657 words, ~1,388 tokens.

Download SKILL.mdSave it as .claude/skills/meta-screening-fulltext/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.

name: meta-screening-fulltext
description: Screen full-text papers against inclusion/exclusion criteria, with optional PubMed metadata check using PMID. Use when the user needs to evaluate a paper for a meta-analysis.
license: MIT
author: AIPOCH

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

Paper Screening (Full Text + PubMed)

This skill screens a medical paper to determine if it should be included in a meta-analysis based on PICO criteria. It can optionally fetch metadata (Title/Abstract) from PubMed if a PMID is provided.

When to Use

Use this skill when you need screen full-text papers against inclusion/exclusion criteria, with optional pubmed metadata check using pmid. use when the user needs to evaluate a paper for a meta-analysis in a reproducible workflow.
Use this skill when a data analytics 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/extract_pdf.py is the most direct path to complete the request.
Use this skill when you need the meta-screening-fulltext package behavior rather than a generic answer.

Key Features

Scope-focused workflow aligned to: Screen full-text papers against inclusion/exclusion criteria, with optional PubMed metadata check using PMID. Use when the user needs to evaluate a paper for a meta-analysis.
Packaged executable path(s): scripts/extract_pdf.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

bash

cd "20260316/scientific-skills/Data Analytics/meta-screening-fulltext"
python -m py_compile scripts/extract_pdf.py
python scripts/extract_pdf.py --help

Example run plan:

Confirm the user input, output path, and any required config values.
Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
Run python scripts/extract_pdf.py with the validated inputs.
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/extract_pdf.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 (302 more words)Show less

Workflow

Analyze Inputs:
- input_paper: Full text of the paper.
- inclu_exclu_criterion: Inclusion/Exclusion criteria.
- input_pmid (Optional): PMID of the paper.
Check PubMed (Optional):
- If input_pmid is provided, run scripts/query_pubmed.py to fetch Title and Abstract.
- Command: python scripts/query_pubmed.py "<input_pmid>"
Screen Paper:
- Scenario A: PubMed Hit: If the script returns metadata, compare the criteria against this data (Title + Abstract).
- Scenario B: No PubMed Data: Compare the criteria against input_paper (full text).
- Use the appropriate prompt from references/screening_prompts.md.
Format Output:
- Ensure the output is a JSON object with Result ("Include" or "Exclude") and Reason.
- If "Exclude", the reason must be one of the standard exclusion categories (Wrong population, etc.).

Quality Rules

Evidence-Based: Decisions must be based strictly on the provided text or retrieved metadata.
Structured Output: Final output must always be parseable JSON.
Exclusion Reasons: Must use standard terminology: "Wrong population", "Wrong intervention", "Wrong comparator", "Wrong outcomes", "Wrong study design".

Helper Scripts

PDF Text Extraction

When the user provides a PDF file path, use extract_pdf.py to extract the text content before assessment:

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-screening-fulltext 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-screening-fulltext only handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.

Files

SKILL.md and 2 other files in scientific-skills/Data Analysis/meta-screening-fulltext of aipoch/medical-research-skills.

SKILL.md
POLISH_CHANGELOG.md
eval_report_meta-screening-fulltext_result.json

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Meta Screening Fulltext 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 Screening Fulltext compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Meta Screening Fulltext this skillaipoch/medical-research-skills	2k	—	~1.4k	Automated safety check: Pass	MIT	22 days ago
Literature Reviewneflibata-feng/MyArxiv-Agent	126	20 repos	~5.9k	Automated safety check: Notes	MIT	today
Citation ManagementK-Dense-AI/claude-scientific-writer	2.4k	2 repos	~3.9k	Automated safety check: Notes	MIT	today
Citation Managementneflibata-feng/MyArxiv-Agent	126	19 repos	~8.1k	Automated safety check: Notes	MIT	today
Paper Searchopenags/paper-search-mcp	2.8k	—	~1.2k	Automated safety check: Notes	MIT	7 days ago
Nature Academic Searchwp-a/nature-academic-search	301	—	~1.4k	Automated safety check: Pass	MIT	7 days ago

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Questions about Meta Screening Fulltext

What does Meta Screening Fulltext do?

Screen full-text papers against inclusion/exclusion criteria, with optional PubMed metadata check using PMID. Meta Screening Fulltext is an agent skill from aipoch/medical-research-skills. Screen full-text papers against inclusion/exclusion criteria, with optional PubMed metadata check using PMID.

When should I use Meta Screening Fulltext?

Meta Screening Fulltext fits situations like: the user needs to evaluate a paper for a meta-analysis; tasks that involve Academic paper search; tasks that involve Data analysis.

How do I install Meta Screening Fulltext in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill meta-screening-fulltext -a claude-code`. Or copy the skill folder (scientific-skills/Data Analysis/meta-screening-fulltext in aipoch/medical-research-skills) into .claude/skills/meta-screening-fulltext in your project. Claude Code loads it when a task matches its description.

How do I install Meta Screening Fulltext in Codex?

Run `npx skills add aipoch/medical-research-skills --skill meta-screening-fulltext -a codex`. Or copy the skill folder (scientific-skills/Data Analysis/meta-screening-fulltext in aipoch/medical-research-skills) into .agents/skills/meta-screening-fulltext in your project. Codex loads it when a task matches its description.

Can I use Meta Screening Fulltext 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-screening-fulltext -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-screening-fulltext, .gemini/skills/meta-screening-fulltext, .github/skills/meta-screening-fulltext and .opencode/skills/meta-screening-fulltext in your project.

What does Meta Screening Fulltext need to run?

Going by SKILL.md and its folder, Meta Screening Fulltext needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Meta Screening Fulltext 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 Screening Fulltext 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. Review the folder before installing.

What licence does Meta Screening Fulltext use?

Meta Screening Fulltext 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 Screening Fulltext use?

About 1.4k tokens (SKILL.md is roughly 5.6k 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 Screening Fulltext?

Skills that share tags, products or a category with Meta Screening Fulltext: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars), Citation Management (neflibata-feng/MyArxiv-Agent, 126 stars) and Paper Search (openags/paper-search-mcp, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Meta Screening Fulltext?

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.

Install Meta Screening Fulltext

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Paper Screening (Full Text + PubMed)

When to Use

Key Features

Dependencies

Example Usage

Implementation Details

Workflow

Quality Rules

Helper Scripts

PDF Text Extraction

Error Handling

Input Validation

Files

Compare with similar skills

Similar skills

More from aipoch/medical-research-skills

Related

Questions about Meta Screening Fulltext