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 silverstein/claude-scientific-skills-desktop --skill ena-databasegit clone --depth 1 https://github.com/silverstein/claude-scientific-skills-desktopWrote 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/silverstein/claude-scientific-skills-desktop/ena-database)<a href="https://agentmods.dev/skills/silverstein/claude-scientific-skills-desktop/ena-database"><img src="https://agentmods.dev/badge/skills/silverstein/claude-scientific-skills-desktop/ena-database/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/silverstein/claude-scientific-skills-desktop/ena-database"><img src="https://agentmods.dev/badge/skills/silverstein/claude-scientific-skills-desktop/ena-database.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 | $0.00043 | $0.01545 |
| Opus 5 | $0.00022 | $0.00772 |
| Sonnet 5 | $0.00009 | $0.00309 |
| Haiku 4.5 | $0.00004 | $0.00154 |
Grade A, and why
ena-database 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.get(base_url, params=params) This is a copy
97% identical to ena-database — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ENA Database
Overview
The European Nucleotide Archive (ENA) is a comprehensive public repository for nucleotide sequence data and associated metadata. Access and query DNA/RNA sequences, raw reads, genome assemblies, and functional annotations through REST APIs and FTP for genomics and bioinformatics pipelines.
When to Use This Skill
This skill should be used when:
- Retrieving nucleotide sequences or raw sequencing reads by accession
- Searching for samples, studies, or assemblies by metadata criteria
- Downloading FASTQ files or genome assemblies for analysis
- Querying taxonomic information for organisms
- Accessing sequence annotations and functional data
- Integrating ENA data into bioinformatics pipelines
- Performing cross-reference searches to related databases
- Bulk downloading datasets via FTP or Aspera
Core Capabilities
1. Data Types and Structure
ENA organizes data into hierarchical object types:
Studies/Projects - Group related data and control release dates. Studies are the primary unit for citing archived data.
Samples - Represent units of biomaterial from which sequencing libraries were produced. Samples must be registered before submitting most data types.
Raw Reads - Consist of:
- Experiments: Metadata about sequencing methods, library preparation, and instrument details
- Runs: References to data files containing raw sequencing reads from a single sequencing run
Assemblies - Genome, transcriptome, metagenome, or metatranscriptome assemblies at various completion levels.
Sequences - Assembled and annotated sequences stored in the EMBL Nucleotide Sequence Database, including coding/non-coding regions and functional annotations.
Analyses - Results from computational analyses of sequence data.
Taxonomy Records - Taxonomic information including lineage and rank.
2. Programmatic Access
ENA provides multiple REST APIs for data access. Consult references/api_reference.md for detailed endpoint documentation.
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.
- 11d ago First seen · 199 lines · 43 tokens per session scan A a212dd914e91
ena-database is a skill published in the GitHub repository silverstein/claude-scientific-skills-desktop (22 stars, last pushed 5mo ago), licensed MIT. It adds 43 tokens to every session and 1,545 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 97% identical to ena-database, differing in 7 lines, and is treated as a copy.
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