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 learningmatter-mit/AtomisticSkills --skill general-biorxiv-searchgit clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkillsWrote 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/learningmatter-mit/atomisticskills/general-biorxiv-search)<a href="https://agentmods.dev/skills/learningmatter-mit/atomisticskills/general-biorxiv-search"><img src="https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/general-biorxiv-search.svg" alt="Measured on agentmods" 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 | $0.00027 | $0.00891 |
| Opus 5 | $0.00014 | $0.00445 |
| Sonnet 5 | $0.00005 | $0.00178 |
| Haiku 4.5 | $0.00003 | $0.00089 |
Grade A, and why
general-biorxiv-search 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 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.
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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
bioRxiv / medRxiv Search
Goal
Search and retrieve preprint metadata (title, authors, abstract, DOI, category, etc.) from bioRxiv and medRxiv using the official REST API. Supports keyword filtering, subject category filtering, date-range search, and DOI lookup.
Instructions
1. Keyword Search (Recent Papers)
Search last 30 days for papers matching keywords in title/abstract.
# Env: base-agent
python .agents/skills/general-biorxiv-search/scripts/biorxiv_search.py "protein folding" --max_results 5 --output protein_folding.json
2. Date Range Search
Retrieve preprints posted in a specific date range, with optional keyword/category filter.
# Env: base-agent
python .agents/skills/general-biorxiv-search/scripts/biorxiv_search.py "CRISPR" --start 2025-01-01 --end 2025-06-01 --max_results 10 --output crispr_2025.json
3. Category Filter
Filter by subject category (use shortcuts or full names).
# Env: base-agent
python .agents/skills/general-biorxiv-search/scripts/biorxiv_search.py --category neuroscience --days 14 --max_results 10
Supported Category Shortcuts:
biochemistry,bioinformatics,biophysicscancer→ cancer_biologycell-bio→ cell_biologydev-bio→ developmental_biologyecology,epidemiology,evolutiongenetics,genomics,immunologymicrobiology,molecular-bio→ molecular_biologyneuroscience,pharmacology,physiologyplant-bio→ plant_biologysynthetic-bio→ synthetic_biologysystems-bio→ systems_biology
4. Search medRxiv
Use --server medrxiv for medical preprints.
# Env: base-agent
python .agents/skills/general-biorxiv-search/scripts/biorxiv_search.py "COVID vaccine efficacy" --server medrxiv --max_results 5 --output covid_vaccine.json
5. DOI Lookup
Retrieve metadata for a specific preprint by DOI.
# Env: base-agent
python .agents/skills/general-biorxiv-search/scripts/biorxiv_search.py --doi 10.1101/2021.01.01.000000 --output paper.json
What ships with it
1 file 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 · 93 lines · 27 tokens per session scan A 50ad3f520717
general-biorxiv-search is a skill published in the GitHub repository learningmatter-mit/AtomisticSkills (161 stars, last pushed 4d ago), licensed MIT. It adds 27 tokens to every session and 891 once invoked, about $0.0001 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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