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 aristoteleo/PantheonOS --skill database_accessgit clone --depth 1 https://github.com/aristoteleo/PantheonOSWrote 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/aristoteleo/pantheonos/database_access)<a href="https://agentmods.dev/skills/aristoteleo/pantheonos/database_access"><img src="https://agentmods.dev/badge/skills/aristoteleo/pantheonos/database_access/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/aristoteleo/pantheonos/database_access"><img src="https://agentmods.dev/badge/skills/aristoteleo/pantheonos/database_access.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 | $0.00073 | $0.01937 |
| Opus 5.5 | $0.00029 | $0.00775 |
| Sonnet 5.5 | $0.00015 | $0.00387 |
| Haiku 4.5 | $0.00007 | $0.00194 |
Grade A, and why
Database Access Skills Index 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 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.
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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Database Access Skills
Tools and workflows for accessing public biological databases, retrieving sequencing data, querying gene/protein information, pulling processed functional / 3D-genome tracks, fetching cancer-cohort data, and downloading large-scale single-cell datasets.
Quick map — which skill for what
| If you need... | Use |
|---|---|
| Gene / protein / variant metadata (Ensembl, UniProt, NCBI, …) | gget |
| Raw sequencing reads (FASTQ) from SRA/ENA/GEO/DDBJ/GSA | iSeq |
| Large-scale single-cell RNA-seq matrices | CELLxGENE Census |
| Processed functional-genomics tracks (ChIP/ATAC/DNase/RNA-seq bigWig/BAM/peaks) | ENCODE |
| 3D-genome contact matrices (Hi-C / Micro-C / ChIA-PET .mcool / .hic) | 4DN |
| liftOver, UCSC tracks, sequence pulls, large genome catalog | UCSC |
| Cancer-cohort RNA-seq counts, MAF mutations, CNV, methylation (TCGA / CPTAC) | GDC |
The new four (ENCODE / 4DN / UCSC / GDC) are mostly orthogonal to the existing three — they cover processed tracks, 3D genome data, coordinate utilities, and cancer cohorts that gget / iSeq / Census don't reach.
Available Skills
gget — Genomic Database Querying
Python package and CLI tool with 23 interoperable modules for efficiently querying genomic databases including Ensembl, NCBI, UniProt, ARCHS4, Enrichr, COSMIC, OpenTargets, CellxGene, cBioPortal, PDB, and Bgee.
Skill file: gget.md
When to use:
- Fetching reference genome/annotation download links (Ensembl)
- Searching genes by keyword or retrieving gene metadata
- Running BLAST/DIAMOND sequence alignment
- Performing enrichment analysis (GO, KEGG, pathway)
- Querying cancer mutations (COSMIC) or drug-target associations (OpenTargets)
- Retrieving single-cell data from CZ CELLxGENE Discover
- Looking up protein structures (PDB, AlphaFold)
- Finding tissue expression patterns (ARCHS4, Bgee)
- Plotting cancer genomics heatmaps (cBioPortal)
What ships with it
7 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.
- 1mo ago First seen · 181 lines · 73 tokens per session scan A fe3fb2b95414
Database Access Skills Index is a skill published in the GitHub repository aristoteleo/PantheonOS (490 stars, last pushed today), licensed BSD-2-Clause. It adds 73 tokens to every session and 1,937 once invoked, about $0.0003 per session on Opus 5.5. 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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