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Agent skill

Academic Abstract Refiner

by aipoch in aipoch/medical-research-skills

Refines long medical academic texts into SCI-style unstructured Chinese and English abstracts; use when you need to condense drafts/reports/summaries into bilingual abstracts and generate…

MITAuto-check passedResearch & Science

Install Academic Abstract Refiner

skills CLI
$ npx skills add aipoch/medical-research-skills --skill academic-abstract-refiner -a claude-code

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

GitHub CLI
$ gh skill install aipoch/medical-research-skills academic-abstract-refiner --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/academic-abstract-refiner' .claude/skills/academic-abstract-refiner && 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
academic-abstract-refiner
GitHub stars
1.9k
Token cost
~1.5k tokens
SKILL.md length
695 words
Files
4 (incl. scripts)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Refines long medical academic texts into SCI-style unstructured Chinese and English abstracts; use when you need to condense drafts/reports/summaries into bilingual abstracts and generate…

  • Works in 4 steps: Validate the request against the skill… → Select the documented execution path and… → Produce the expected output using the… → …
  • You need to condense drafts/reports/summaries into bilingual abstracts and generate SummaryReport.md
  • SKILL.md covers Validation Shortcut, When to Use, Key Features and Dependencies, plus 11 more sections
  • Runs Python scripts from its folder; calls python

What it does

Academic Abstract Refiner is an agent skill from aipoch/medical-research-skills. Refines long medical academic texts into SCI-style unstructured Chinese and English abstracts; use when you need to condense drafts/reports/summaries into bilingual abstracts and generate SummaryReport.md.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `academic-abstract-refiner_audit_result_v2.json`, `scripts/refine_abstract.py` and `scripts/validate_skill.py`).

It sits in Research & Science, covering Translation. 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

  • You need to condense drafts/reports/summaries into bilingual abstracts and generate SummaryReport.md
  • Tasks that involve Translation

Example prompts

  • “Use the academic-abstract-refiner skill to refine long medical academic texts into SCI-style unstructured Chinese and English abstracts; use when…”
  • “/academic-abstract-refiner”

Requirements

  • Python 3

Workflow steps

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

  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.

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

Academic Abstract Refiner loads about 1.5k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 695 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
~1.5k

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). 695 words, ~1,497 tokens.

Download SKILL.mdSave it as .claude/skills/academic-abstract-refiner/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
academic-abstract-refiner
description
Refines long medical academic texts into SCI-style unstructured Chinese and English abstracts; use when you need to condense drafts/reports/summaries into bilingual abstracts and generate Summary_Report.md.
license
MIT
author
AIPOCH

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

Validation Shortcut

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

bash
python scripts/refine_abstract.py --help

academic-abstract-refiner

When to Use

  • Converting a long medical review draft into a concise, SCI-style unstructured abstract (single paragraph).
  • Summarizing experimental or clinical study reports into bilingual (Chinese/English) abstracts for submission or internal review.
  • Condensing multi-paper literature notes or evidence syntheses into a publication-ready abstract without section headers.
  • Producing a standardized Markdown deliverable (Summary_Report.md) that contains both Chinese and English abstracts.
  • Ensuring the abstract content strictly reflects the source text (no invented data, outcomes, or conclusions).

Key Features

  • Generates unstructured (single-paragraph) abstracts in Chinese and English.
  • Enforces an academic, formal tone aligned with SCI journal abstract conventions.
  • Produces a single Markdown report: Summary_Report.md.
  • Script-based rendering that does not call any model APIs and requires no API key.
  • Supports input as long plain text (e.g., .txt content or pasted text) and outputs a clean report.

Dependencies

  • Python >=3.8

Example Usage

Generate the final report after you already have the refined abstracts (produced by the agent):

bash
python scripts/refine_abstract.py \
  --abstract-zh "（、）。" \
  --abstract-en "Paste the English abstract here (single paragraph, no subheadings)." \
  --output Summary_Report.md

Expected output:

  • Summary_Report.md containing:
    • Chinese abstract
    • English abstract

Implementation Details

  • Input/Output contract

    • Inputs are two strings: --abstract-zh and --abstract-en.
    • Output is a Markdown file path via --output (default: Summary_Report.md).

  • Abstract format constraints

    • Both abstracts must be unstructured: a single paragraph without fixed templates such as Objective/Methods/Results/Conclusion.
    • Language should remain formal and academic, consistent with SCI abstract style.

  • Content integrity rules

    • The abstracts must be derived only from the original source text.
    • Do not fabricate numerical results, experimental details, or conclusions not present in the source.

  • Execution model

    • The rendering script is a local formatter/writer: it does not invoke any LLM and does not require API credentials.
    • All abstract generation/refinement is assumed to be completed by the agent prior to running the script.

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.
  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.
Show full SKILL.md (258 more words)Show less

Output Contract

  • Return a structured deliverable that is directly usable without reformatting.
  • If a file is produced, prefer a deterministic output name such as academic_abstract_refiner_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:

bash
python scripts/refine_abstract.py --help

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 3 other files (scripts) in scientific-skills/Academic Writing/academic-abstract-refiner of aipoch/medical-research-skills.

  • SKILL.md
  • academic-abstract-refiner_audit_result_v2.json
  • scripts/refine_abstract.py
  • scripts/validate_skill.py

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Academic Abstract Refiner 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.

Academic Abstract Refiner compared with similar skills
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Academic Abstract Refiner this skillaipoch/medical-research-skills1.9k—~1.5kAutomated safety check: PassMIT
NSFC Abstract Writerhuangwb8/ChineseResearchLaTeX2.9k1 repos~1.3kAutomated safety check: PassMIT
Bilingual Paper ReaderYuan1z0825/nature-skills47k—~961Automated safety check: PassApache-2.0
Nature Paper XrayYuan1z0825/nature-skills47k—~1.5kAutomated safety check: PassApache-2.0
Tooluniverse Gwas Drug Discoverywu-yc/LabClaw1.1k2 repos~4.7kAutomated safety check: PassNone
Alego Docsingula-ai/alego1091 repos~4.5kAutomated safety check: PassMIT

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Categories

Questions about Academic Abstract Refiner

What does Academic Abstract Refiner do?

Refines long medical academic texts into SCI-style unstructured Chinese and English abstracts; use when you need to condense drafts/reports/summaries into bilingual abstracts and generate…. Academic Abstract Refiner is an agent skill from aipoch/medical-research-skills.md.

When should I use Academic Abstract Refiner?

Academic Abstract Refiner fits situations like: you need to condense drafts/reports/summaries into bilingual abstracts and generate SummaryReport.md; tasks that involve Translation.

How do I install Academic Abstract Refiner in Claude Code?

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

How do I install Academic Abstract Refiner in Codex?

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

Can I use Academic Abstract Refiner 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 academic-abstract-refiner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/academic-abstract-refiner, .gemini/skills/academic-abstract-refiner, .github/skills/academic-abstract-refiner and .opencode/skills/academic-abstract-refiner in your project.

What does Academic Abstract Refiner need to run?

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

Does Academic Abstract Refiner 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 Academic Abstract Refiner 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 Academic Abstract Refiner use?

Academic Abstract Refiner 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 Academic Abstract Refiner use?

About 1.5k tokens (SKILL.md is roughly 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 Academic Abstract Refiner?

Skills that share tags, products or a category with Academic Abstract Refiner: NSFC Abstract Writer (huangwb8/ChineseResearchLaTeX, 2.9k stars), Bilingual Paper Reader (Yuan1z0825/nature-skills, 47k stars), Nature Paper Xray (Yuan1z0825/nature-skills, 47k stars) and Tooluniverse Gwas Drug Discovery (wu-yc/LabClaw, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Academic Abstract Refiner?

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.