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 fmschulz/omics-skills --skill scientific-impact-assessmentgit clone --depth 1 https://github.com/fmschulz/omics-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/fmschulz/omics-skills/scientific-impact-assessment)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00037 | $0.01234 |
| Opus 5 | $0.00018 | $0.00617 |
| Sonnet 5 | $0.00007 | $0.00247 |
| Haiku 4.5 | $0.00004 | $0.00123 |
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.
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 — 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
- Prefer a DOI or OpenAlex work ID as input.
- If you only have a title, use
/crossref-lookupfirst to resolve a DOI before running this skill.
- If you only have a title, use
- Use the bundled CLI:
- In this repository:
skills/scientific-impact-assessment/scripts/measure-impact - After installation:
~/.agents/skills/scientific-impact-assessment/scripts/measure-impact
- In this repository:
- 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.
- The CLI retrieves
- 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_KEYis not available, the CLI should report Altmetric as unavailable instead of failing.
- 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
Sciencerow uses a labeled third-party fallback because no public official AAAS JIF page was located during skill creation on March 19, 2026.
- 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.
- If the journal is not in the curated table, return the OpenAlex result anyway and say the journal-level reference lookup was not available.
- Repeated OpenAlex lookups use a TTL-bound response cache and a cross-process pacing lock. Defaults are
--cache-ttl 86400and--min-interval 0.1; use--cache-dirorOPENALEX_CACHE_DIRfor 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 |
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.
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 · 114 lines · 37 tokens per session scan A 48ce93dcdbaf
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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