What is author-strategy?

A PubMed-based analysis of a researcher's published papers that classifies study types, shows patterns with charts, and produces a report about their research strategy.

It is for reviewing an author's publication portfolio and identifying their research direction or career pattern from PubMed records.

It turns a long publication list into an overview of recurring topics, methods, and changes over time.

author-strategy — Skill for Claude Code by Aperivue

Install

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.

Any agent

npx skills add Aperivue/medsci-skills --skill author-strategy

Clone the repo

git clone --depth 1 https://github.com/Aperivue/medsci-skills

Made for: Claude Code.

Or install medsci-project, the plugin that ships this one along with the rest of its 6 skills.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/aperivue/medsci-skills/author-strategy/github.svg)](https://agentmods.dev/skills/aperivue/medsci-skills/author-strategy)

Your own site

<a href="https://agentmods.dev/skills/aperivue/medsci-skills/author-strategy"><img src="https://agentmods.dev/badge/skills/aperivue/medsci-skills/author-strategy/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/aperivue/medsci-skills/author-strategy"><img src="https://agentmods.dev/badge/skills/aperivue/medsci-skills/author-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,208 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00033	$0.02208
Opus 5	$0.00016	$0.01104
Sonnet 5	$0.00007	$0.00442
Haiku 4.5	$0.00003	$0.00221

Measured 11d ago against content hash 9c97ad0ff206, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

author-strategy 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 11d ago.

The scan reads SKILL.md. This mod also ships 6 executable files (analyze_patterns.py, classify_archetypes.py, fetch_pubmed.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/author-strategy/SKILL.md · 187 lines

How it starts

The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/author-strategy — PubMed Author Strategy Analysis

Purpose

Analyze a researcher's PubMed publication portfolio to reverse-engineer their research strategy. Produces a CSV dataset, 7 visualizations, and a strategy report.

Prerequisites

Python 3.10+ with biopython, pandas, matplotlib, seaborn, and pyyaml (PyYAML is required by the archetype classifier and the rubric renderer)
Scripts: ${CLAUDE_SKILL_DIR}/fetch_pubmed.py, ${CLAUDE_SKILL_DIR}/analyze_patterns.py, ${CLAUDE_SKILL_DIR}/pubmed_parse.py (stdlib parser), ${CLAUDE_SKILL_DIR}/classify_archetypes.py, ${CLAUDE_SKILL_DIR}/render_archetype_doc.py
Rubric: ${CLAUDE_SKILL_DIR}/references/trajectory_archetypes.yaml (canonical) and ${CLAUDE_SKILL_DIR}/references/trajectory_archetypes.md (generated)

Workflow

Step 1: Gather Input

Ask the user for:

Author name (PubMed format, e.g., "Kim DK" or "Lee KS")
Last name for position classification (auto-detected if ambiguous)
Output directory (default: ~/.local/cache/author-strategy/{AuthorName}/)

Step 2: Fetch PubMed Data

python "${CLAUDE_SKILL_DIR}/fetch_pubmed.py" "{Author Name}" \
  --last-name "{LastName}" \
  --output "{output_dir}/data/{name}_publications.csv" \
  --email "{user_email}"

Review the console summary (total count, study type distribution, author position). If count is 0, suggest alternative name formats (e.g., "Yon DK" vs "Yon D" vs "Yon Dong Keon").

Step 3: Generate Visualizations and Report

python "${CLAUDE_SKILL_DIR}/analyze_patterns.py" "{output_dir}/data/{name}_publications.csv" \
  --output-dir "{output_dir}/report/" \
  --author-name "{Author Name}"

This produces:

7 PNG charts (01-07)
analysis_report.md with strategy breakdown

Step 4: Interpret and Present

Read analysis_report.md and present to the user:

Executive summary: total publications, growth trajectory, high-tier rate
Primary strategy: what study type dominates and why
Author position analysis: first/last positional rate vs middle (positional heuristic only — not leadership or corresponding-author metadata, which are unavailable here)
Topic clusters: research focus areas
ROI quadrant: which strategies yield high-tier + leadership vs. volume only
Replication opportunities: which patterns are replicable with Claude Code + public databases

Read the full file on GitHub · 187 lines

Files

What ships with it

11 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.

Changes

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.

11d ago First seen · 187 lines · 33 tokens per session scan A 9c97ad0ff206

Subscribe to this mod's changes

author-strategy is a skill published in the GitHub repository Aperivue/medsci-skills (292 stars, last pushed 3d ago), licensed MIT. It adds 33 tokens to every session and 2,208 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 2026-08-30.

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