Agent skill

Science Popularization Article

by aipoch in aipoch/medical-research-skills

Generates science popularization articles with titles and outlines based on medical topics and style preferences.

MITAuto-check passedResearch & Science

Install Science Popularization Article

skills CLI
$ npx skills add aipoch/medical-research-skills --skill science-popularization-article -a claude-code

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

GitHub CLI
$ gh skill install aipoch/medical-research-skills science-popularization-article --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/science-popularization-article .claude/skills/science-popularization-article && 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
science-popularization-article
GitHub stars
2k
Token cost
~1.8k tokens
SKILL.md length
809 words
Files
3 (incl. scripts)
Skills in repo
567
Repo updated
First seen
Licence
MIT

At a glance

Generates science popularization articles with titles and outlines based on medical topics and style preferences.

  • Works in 4 steps: Confirm the user input, output path, and… → Edit the in-file CONFIG block or… → Run python scripts/validate_skill.py… → …
  • Needs to create medical/science popular content for public education
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 17 more sections
  • Runs Python scripts from its folder; calls python

What it does

Science Popularization Article is an agent skill from aipoch/medical-research-skills. Generates science popularization articles with titles and outlines based on medical topics and style preferences. Invoke when user needs to create medical/science popular content for public education.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `science-popularization-article_audit_result_v2.json` and `scripts/validate_skill.py`).

It sits in Research & Science. 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

  • Needs to create medical/science popular content for public education

Example prompts

  • “Use the science-popularization-article skill to generate science popularization articles with titles and outlines based on medical topics and style…”
  • “/science-popularization-article”

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/validate_skill.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

Science Popularization Article loads about 1.8k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 809 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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). 809 words, ~1,755 tokens.

Download SKILL.mdSave it as .claude/skills/science-popularization-article/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
science-popularization-article
description
Generates science popularization articles with titles and outlines based on medical topics and style preferences. Invoke when user needs to create medical/science popular content for public education.
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 science popularization articles with titles and outlines based on medical topics and style preferences. Invoke when user needs to create medical/science popular content for public education.".
  • Packaged executable path(s): scripts/validate_skill.py.
  • 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/Others/science-popularization-article"
python -m py_compile scripts/validate_skill.py
python scripts/validate_skill.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/validate_skill.py with the validated inputs.
  4. Review the generated output and return the final artifact with any assumptions called out.

Implementation 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/validate_skill.py.
  • 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/validate_skill.py --help

Science Popularization Article Generator

Goal

Generate engaging science popularization articles for medical/health topics with professionally crafted titles and structured outlines.

Input Requirements

  • **** (Objects): Medical/science topic for the article
  • **** (Style): Writing style - "" (easy-to-understand) or "" (professional authoritative)

Output Structure

The skill generates:

  1. 3 candidate titles optimized for the selected style
  2. 1 selected best title
  3. Detailed article outline with section prompts
  4. Complete article content (approximately 2500 words)

Workflow Steps

  1. Title Generation: Creates 3 style-appropriate titles
  2. Title Selection: Chooses the most engaging title
  3. Outline Creation: Builds structured outline with section prompts
  4. Content Generation: Writes complete article content
  5. Quality Control: Ensures style consistency and readability

Style Guidelines

  • ****: Uses metaphors, simple language, life examples for general public
  • ****: Formal terminology, logical structure, neutral tone for professionals

Usage Examples

  • Generate articles for hospital public education
  • Create health content for medical company social media
  • Produce science communication materials for public awareness

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.
Show full SKILL.md (321 more words)Show less
  1. Validate the request against the skill boundary and confirm all required inputs are present.
  2. Select the documented execution path and prefer the simplest supported command or procedure.
  3. Produce the expected output using the documented file format, schema, or narrative structure.
  4. Run a final validation pass for completeness, consistency, and safety before returning the result.

Output Contract

  • Return a structured deliverable that is directly usable without reformatting.
  • If a file is produced, prefer a deterministic output name such as science_popularization_article_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: science_popularization_article_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 2 other files (scripts) in scientific-skills/Other/science-popularization-article of aipoch/medical-research-skills.

  • SKILL.md
  • science-popularization-article_audit_result_v2.json
  • scripts/validate_skill.py

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Science Popularization Article 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.

Science Popularization Article compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Science Popularization Article this skillaipoch/medical-research-skills2k—~1.8kAutomated safety check: PassMIT
Hypothesis Generationspacering-net/codeg3.8k15 repos~3.6kAutomated safety check: NotesMIT
GitHub Deep Researchbytedance/deer-flow83k5 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills46k2 repos~2.1kAutomated safety check: PassApache-2.0
Read arXiv Paperkarpathy/nanochat58k2 repos~494Automated safety check: PassMIT
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT

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Questions about Science Popularization Article

What does Science Popularization Article do?

Generates science popularization articles with titles and outlines based on medical topics and style preferences. Science Popularization Article is an agent skill from aipoch/medical-research-skills. Generates science popularization articles with titles and outlines based on medical topics and style preferences.

When should I use Science Popularization Article?

Science Popularization Article fits situations like: needs to create medical/science popular content for public education.

How do I install Science Popularization Article in Claude Code?

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

How do I install Science Popularization Article in Codex?

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

Can I use Science Popularization Article 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 science-popularization-article -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/science-popularization-article, .gemini/skills/science-popularization-article, .github/skills/science-popularization-article and .opencode/skills/science-popularization-article in your project.

What does Science Popularization Article need to run?

Going by SKILL.md and its folder, Science Popularization Article needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Science Popularization Article 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 Science Popularization Article 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 Science Popularization Article use?

Science Popularization Article 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 Science Popularization Article use?

About 1.8k tokens (SKILL.md is roughly 7k 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 Science Popularization Article?

Skills that share tags, products or a category with Science Popularization Article: Hypothesis Generation (spacering-net/codeg, 3.8k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars), Nature Paper Card (Yuan1z0825/nature-skills, 46k stars) and Read arXiv Paper (karpathy/nanochat, 58k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Science Popularization Article?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,974 GitHub stars. The repository holds 567 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.