scientific-impact-assessment

scientific-impact-assessment is a skill for Claude Code, Codex from fmschulz/omics-skills. It costs 37 tokens per session (1,234 once invoked), scanned A, original, MIT.

A research-impact checker that uses OpenAlex citation data, optional Altmetric attention data, and journal information to assess how widely a paper has reached.

In plain words
What is it for?
Use it to compare papers, journals, or shortlists of research by influence and reach.
Why use it?
It brings citation counts, online attention, and journal context together instead of making you check several sources by hand. It can also resolve a paper title to a DOI before measuring it.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the omics-skills plugin — 34 skills, 4 agents shipped together

Good fit Use it to compare papers, journals, or shortlists of research by influence and reach.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fmschulz/omics-skills/scientific-impact-assessment
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 fmschulz/omics-skills --skill scientific-impact-assessment
Clone the repo
git clone --depth 1 https://github.com/fmschulz/omics-skills

Made for: Claude Code, Codex.

Or install omics-skills, the plugin that ships this one along with the rest of its 34 skills, 4 agents.

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.

agentmods badge for scientific-impact-assessment

README.md
[![agentmods](https://agentmods.dev/badge/skills/fmschulz/omics-skills/scientific-impact-assessment/github.svg)](https://agentmods.dev/skills/fmschulz/omics-skills/scientific-impact-assessment)
Your own site
<a href="https://agentmods.dev/skills/fmschulz/omics-skills/scientific-impact-assessment"><img src="https://agentmods.dev/badge/skills/fmschulz/omics-skills/scientific-impact-assessment/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.

agentmods 80×15 button for scientific-impact-assessment

Your own site · 80×15
<a href="https://agentmods.dev/skills/fmschulz/omics-skills/scientific-impact-assessment"><img src="https://agentmods.dev/badge/skills/fmschulz/omics-skills/scientific-impact-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,234 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.01234
Opus 5 $0.00018 $0.00617
Sonnet 5 $0.00007 $0.00247
Haiku 4.5 $0.00004 $0.00123

Measured 11d ago against content hash 48ce93dcdbaf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

scientific-impact-assessment 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 1 executable file (scripts/measure_impact.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/scientific-impact-assessment/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Scientific Impact Assessment

Use this skill to measure the reach of a paper with citation, attention, and journal-level context.

Instructions

  1. Prefer a DOI or OpenAlex work ID as input.
    • If you only have a title, use /crossref-lookup first to resolve a DOI before running this skill.
  2. Use the bundled CLI:
    • In this repository: skills/scientific-impact-assessment/scripts/measure-impact
    • After installation: ~/.agents/skills/scientific-impact-assessment/scripts/measure-impact
  3. OpenAlex is the default source for paper-level citation data.
    • The CLI retrieves cited_by_count, publication year, journal/source name, and citation history from OpenAlex.
  4. Altmetric is optional and should be treated as conditional enrichment.
    • Current Altmetric documentation says an API key is required for Details Page API access.
    • If ALTMETRIC_API_KEY is not available, the CLI should report Altmetric as unavailable instead of failing.
  5. Journal-level impact factors come from the curated references table in references/journal_metrics_2024.tsv.
    • These are curated public web values, mostly from official publisher pages.
    • The Science row uses a labeled third-party fallback because no public official AAAS JIF page was located during skill creation on March 19, 2026.
  6. Keep paper-level and journal-level metrics separate in the final answer.
    • Do not present journal impact factor as a proxy for article quality.
    • Do not present Altmetric attention as equivalent to scholarly citation impact.
  7. If the journal is not in the curated table, return the OpenAlex result anyway and say the journal-level reference lookup was not available.
  8. Repeated OpenAlex lookups use a TTL-bound response cache and a cross-process pacing lock. Defaults are --cache-ttl 86400 and --min-interval 0.1; use --cache-dir or OPENALEX_CACHE_DIR for a project/site cache. Live reports record this request policy.

Quick Reference

Task Action
Measure by DOI skills/scientific-impact-assessment/scripts/measure-impact --doi 10.1038/nature12373
Measure by OpenAlex ID skills/scientific-impact-assessment/scripts/measure-impact --openalex-id W2741809807
Add OpenAlex polite-pool email --mailto [email protected]
Enable Altmetric enrichment Source ALTMETRIC_API_KEY from a private environment file before running
Text summary output --format text
Save JSON report --output impact-report.json
Journal metrics table references/journal_metrics_2024.tsv
Deployment regression test python3 -m unittest tests/test_scientific_impact_assessment.py -v

Read the full file on GitHub · 114 lines

Files

What ships with it

8 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.

  1. 11d ago First seen · 114 lines · 37 tokens per session scan A 48ce93dcdbaf

Subscribe to this mod's changes

scientific-impact-assessment is a skill published in the GitHub repository fmschulz/omics-skills (7 stars, last pushed 5d ago), licensed MIT. It adds 37 tokens to every session and 1,234 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 2026-08-31.

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