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 BioTender-max/awesome-bio-agent-skills --skill bio-agent-skills-hubgit clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-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/biotender-max/awesome-bio-agent-skills/bio-agent-skills-hub)<a href="https://agentmods.dev/skills/biotender-max/awesome-bio-agent-skills/bio-agent-skills-hub"><img src="https://agentmods.dev/badge/skills/biotender-max/awesome-bio-agent-skills/bio-agent-skills-hub/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/biotender-max/awesome-bio-agent-skills/bio-agent-skills-hub"><img src="https://agentmods.dev/badge/skills/biotender-max/awesome-bio-agent-skills/bio-agent-skills-hub.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00114 | $0.03710 |
| Opus 5.5 | $0.00046 | $0.01484 |
| Sonnet 5.5 | $0.00023 | $0.00742 |
| Haiku 4.5 | $0.00011 | $0.00371 |
Grade A, and why
bio-agent-skills-hub 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 1mo 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.
import urllib.request The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 1mo ago First seen · 194 lines · 114 tokens per session scan A 4f9828816a45
bio-agent-skills-hub is a skill published in the GitHub repository BioTender-max/awesome-bio-agent-skills (208 stars, last pushed 3mo ago), with no licence file. It adds 114 tokens to every session and 3,710 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
genomics-qc
Load when running pre-alignment FASTQ quality control — Phred quality scores, Q20/Q30 rates, GC / N content, read-length distribution, adapter-contamination detection. Skip when working with already-aligned BAMs (use genomics-alignment); peak / variant files are the input (use the relevant downstream skill).
genomics-variant-calling
Load when summarising small variants (SNVs / indels) from a VCF or computing demo-pattern variant statistics (Ti/Tv ratio, per-chromosome distribution, SNP / indel split). Skip when filtering / merging VCFs (use genomics-vcf-operations); calling structural variants (use genomics-sv-detection); adding functional…
metabolomics-pathway-enrichment
Load when running metabolite-name ORA against an explicit local pathway reference with BH-FDR; bundled pathway sets are for explicit demonstrations only. Skip m/z annotation (use metabolomics-annotation) and topology analysis or online pathway retrieval (use external mummichog / FELLA or database tools).
proteomics-data-import
Load when ingesting a MaxQuant proteinGroups.txt, FragPipe combinedprotein.tsv, DIA-NN report, or generic CSV / TSV protein-quantification table — normalises columns to a standard schema, emits tables/proteins.csv. Skip when raw spectra are the input (run the search engine first); the file is already OmicsClaw schema.
proteomics-de
Load when computing two-group differential protein abundance (group2 vs group1, log2FC + p-value + BH-adjusted FDR) via Welch t-test, equal-variance t-test, or Mann-Whitney on a wide protein × sample CSV. Skip when you need multi-condition DE (run pairwise contrasts manually); label-based TMT linear-mixed models.
proteomics-enrichment
Load for Fisher over-representation analysis of protein identifiers against caller-supplied pathways. Skip rank-based GSEA (use bulkrna-enrichment) or protein differential testing (use proteomics-de).