Agent skill

Meta Search Builder

by aipoch in aipoch/medical-research-skills

Medical literature search strategy generator. An agent skill from aipoch/medical-research-skills.

MITAuto-check passedResearch & Science

Install Meta Search Builder

skills CLI
$ npx skills add aipoch/medical-research-skills --skill meta-search-builder -a claude-code

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

GitHub CLI
$ gh skill install aipoch/medical-research-skills meta-search-builder --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/Other/meta-search-builder .claude/skills/meta-search-builder && 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-search-builder
GitHub stars
2k
Token cost
~1.6k tokens
SKILL.md length
648 words
Files
3 (incl. references)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Medical literature search strategy generator. An agent skill from aipoch/medical-research-skills.

  • Works in 2 steps: Entity extraction → Generate search strategies for seven…
  • Tasks that involve Literature review
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Meta Search Builder is an agent skill from aipoch/medical-research-skills. Medical literature search strategy generator. Given a user's natural-language description (e.g., meta-analysis topic, PICOS elements, research question), automatically extract medical entities (disease, intervention, population, outcomes) and generate professional search queries for seven major databases (PubMed, Cochrane, Embase, Web of Science, CNKI, Wanfang, VIP). Useful for developing search strategies for systematic reviews and meta-analyses.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `meta-search-builder_audit_result_v2.json` and `references/databases.md`).

It sits in Research & Science, covering Literature review, Academic paper search and Hypothesis generation. 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

  • Tasks that involve Literature review
  • Tasks that involve Academic paper search
  • Tasks that involve Hypothesis generation

Example prompts

  • “/meta-search-builder”

Workflow steps

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

  1. Entity extraction
  2. Generate search strategies for seven databases

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

    No scripts in the folder and no shell commands in SKILL.md.

    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 Search Builder loads about 1.6k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 118 tokens; SKILL.md has 648 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~118
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

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). 648 words, ~1,631 tokens.

Download SKILL.mdSave it as .claude/skills/meta-search-builder/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
meta-search-builder
description
Medical literature search strategy generator. Given a user's natural-language description (e.g., meta-analysis topic, PICOS elements, research question), automatically extract medical entities (disease, intervention, population, outcomes) and generate professional search queries for seven major databases (PubMed, Cochrane, Embase, Web of Science, CNKI, Wanfang, VIP). Useful for developing search strategies for systematic reviews and meta-analyses.
license
MIT
author
AIPOCH

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

Medical Literature Search Strategy Generator

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: Medical literature search strategy generator. Given a user's natural-language description (e.g., meta-analysis topic, PICOS elements, research question), automatically extract medical entities (disease, intervention, population, outcomes) and generate professional search queries for seven major databases (PubMed, Cochrane, Embase, Web of Science, CNKI, Wanfang, VIP). Useful for developing search strategies for systematic reviews and meta-analyses.
  • Documentation-first workflow with no packaged script requirement.
  • 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

text
Skill directory: 20260316/scientific-skills/Others/meta-search-builder
No packaged executable script was detected.
Use the documented workflow in SKILL.md together with the references/assets in this folder.

Example run plan:

  1. Read the skill instructions and collect the required inputs.
  2. Follow the documented workflow exactly.
  3. Use packaged references/assets from this folder when the task needs templates or rules.
  4. Return a structured result tied to the requested deliverable.

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: instruction-only workflow in SKILL.md.
  • 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.

Workflow

Step 1: Entity extraction

Extract PICOS elements from the user's input:

  1. P (Population): target population / disease
  2. I (Intervention): intervention
  3. C (Comparator): comparator (optional)
  4. O (Outcome): outcome measures (optional)
  5. S (Study): study type (default: RCT)

Extraction rules:

  • Limit the number of keywords to at most 5
  • Simplify descriptive phrases (e.g., "patients with ovarian cancer" -> "ovarian cancer")
  • Map non-standard terms to common medical terminology
  • Use standardized outcome terms where appropriate
Step 2: Generate search strategies for seven databases

See references/databases.md for database-specific syntax and examples.

Output format

## Extracted medical entities

- P (Population/Disease): xxx
- I (Intervention): xxx
- C (Comparator): xxx
- O (Outcome): xxx
- S (Study type): xxx

## Search strategies

### 1. PubMed
[search query]

### 2. Cochrane Library
[search query]

### 3. Embase
[search query]

### 4. Web of Science
[search query]

### 5. CNKI (China National Knowledge Infrastructure)
[search query]

### 6. Wanfang
[search query]

### 7. VIP
[search query]
Show full SKILL.md (270 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_search_builder_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.

Quick Validation

Run this minimal verification path before full execution when possible:

text
No local script validation step is required for this skill.

Expected output format:

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

© 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 2 other files (references) in scientific-skills/Other/meta-search-builder of aipoch/medical-research-skills.

  • SKILL.md
  • meta-search-builder_audit_result_v2.json
  • references/databases.md

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Meta Search Builder 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 Search Builder compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Meta Search Builder this skillaipoch/medical-research-skills2k—~1.6kAutomated safety check: PassMIT
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
PaperSeek Literature SearchMingfengHong/paperseek200—~1.6kAutomated safety check: PassApache-2.0
Academic Search and Citation RouterYuan1z0825/nature-skills47k—~884Automated safety check: PassApache-2.0
Paper NavigatorEvoScientist/EvoSkills476—~6.3kAutomated safety check: NotesApache-2.0
Research PlatformZS520L/HanakoPro103—~1.1kAutomated safety check: PassApache-2.0

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Works with

Questions about Meta Search Builder

What does Meta Search Builder do?

Medical literature search strategy generator. An agent skill from aipoch/medical-research-skills. Meta Search Builder is an agent skill from aipoch/medical-research-skills. Medical literature search strategy generator.

When should I use Meta Search Builder?

Meta Search Builder fits situations like: tasks that involve Literature review; tasks that involve Academic paper search; tasks that involve Hypothesis generation.

How do I install Meta Search Builder in Claude Code?

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

How do I install Meta Search Builder in Codex?

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

Can I use Meta Search Builder 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-search-builder -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-search-builder, .gemini/skills/meta-search-builder, .github/skills/meta-search-builder and .opencode/skills/meta-search-builder in your project.

What does Meta Search Builder need to run?

SKILL.md names no scripts, command-line tools or credentials: Meta Search Builder is instructions for the agent only.

Does Meta Search Builder 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 Search Builder 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 Search Builder use?

Meta Search Builder 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 Search Builder use?

About 1.6k tokens (SKILL.md is roughly 6.5k 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 1.3k tokens, read only when the agent opens those files.

What are the alternatives to Meta Search Builder?

Skills that share tags, products or a category with Meta Search Builder: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), PaperSeek Literature Search (MingfengHong/paperseek, 200 stars), Academic Search and Citation Router (Yuan1z0825/nature-skills, 47k stars) and Paper Navigator (EvoScientist/EvoSkills, 476 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Meta Search Builder?

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.