Medical Research Agent Skills is a library of agent instructions for medical and biomedical research, covering evidence analysis, study protocol design, data analysis, and academic writing. Researchers use it to guide compatible coding agents through common scientific workflows. The catalogue contains many of the library's skills and commands.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add aipoch/medical-research-skills --skill academic-abstract-refinergit clone --depth 1 https://github.com/aipoch/medical-research-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aipoch/medical-research-skills/academic-abstract-refiner)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/academic-abstract-refiner"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/academic-abstract-refiner/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/academic-abstract-refiner"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/academic-abstract-refiner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 120 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00044 | $0.01201 |
| Opus 5 | $0.00022 | $0.00600 |
| Sonnet 5 | $0.00009 | $0.00240 |
| Haiku 4.5 | $0.00004 | $0.00120 |
Grade A, and why
academic-abstract-refiner scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Validation Shortcut
Run this minimal command first to verify the supported execution path:
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.,
.txtcontent 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):
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.mdcontaining:- Chinese abstract
- English abstract
Implementation Details
-
Input/Output contract
- Inputs are two strings:
--abstract-zhand--abstract-en. - Output is a Markdown file path via
--output(default:Summary_Report.md).
- Inputs are two strings:
-
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.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 132 lines · 44 tokens per session scan A 323ca632dcdf
academic-abstract-refiner is a skill published in the GitHub repository aipoch/medical-research-skills (1,869 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 1,201 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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