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 AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-biorxivgit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-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/alterlab-ieu/alterlab-academic-skills/alterlab-biorxiv)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-biorxiv"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-biorxiv/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/alterlab-ieu/alterlab-academic-skills/alterlab-biorxiv"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-biorxiv.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 | $0.00069 | $0.03338 |
| Opus 5 | $0.00034 | $0.01669 |
| Sonnet 5 | $0.00014 | $0.00668 |
| Haiku 4.5 | $0.00007 | $0.00334 |
Grade A, and why
alterlab-biorxiv scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
allowed-tools: Read WebFetch Bash(curl:*) Bash(python:*) How it starts
The opening of the file, as written. The whole thing — 450 lines — stays where its author put it; the contents beside it link to each section on GitHub.
bioRxiv Database
Overview
Python tooling over the keyless bioRxiv API for searching and retrieving life-sciences preprints. Searches by keyword, author, date range, and category, returning structured JSON (titles, abstracts, DOIs, authors, versions), and downloads full-text PDFs.
For published, peer-reviewed literature use alterlab-pubmed; for computer-science / physics / math preprints use alterlab-arxiv. bioRxiv covers biology subjects only.
How it works (and its limits)
The bioRxiv /details endpoint has no server-side keyword, author, or category filter — it only returns preprints by date range, 30 records per page. So this tool:
- Paginates the full date range (following the cursor until all records are retrieved), then
- Filters client-side by keyword (substring over title/abstract), author (substring over the author list), and category (exact match on each paper's
categoryfield).
Implication: a wide date range means many API calls and a large download. Keep ranges as tight as the question allows, and prefer --category and --limit to bound the work.
When to Use This Skill
Use this skill when:
- Searching for recent life-sciences preprints in specific research areas
- Tracking preprints by particular authors
- Conducting systematic preprint literature reviews
- Analyzing preprint trends over time periods
- Retrieving metadata for citation management
- Downloading preprint PDFs for analysis
- Filtering papers by bioRxiv subject categories
Running the script
The script's only dependency is requests. Run it with uv so the dependency is provisioned on the fly:
uv run --with requests scripts/biorxiv_search.py --help
The python scripts/biorxiv_search.py ... invocations below are shorthand; substitute uv run --with requests scripts/biorxiv_search.py ... (or activate an environment that has requests).
Core Search Capabilities
1. Keyword Search
Search for preprints containing specific keywords in titles, abstracts, or author lists.
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.
- 8d ago First seen · 450 lines · 69 tokens per session scan A fbb1eb64d938
alterlab-biorxiv is a skill published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 7d ago), licensed MIT. It adds 69 tokens to every session and 3,338 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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