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 Zaoqu-Liu/ScienceClaw --skill dnanexus-integrationgit clone --depth 1 https://github.com/Zaoqu-Liu/ScienceClawWrote 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/zaoqu-liu/scienceclaw/dnanexus-integration)<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/dnanexus-integration"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/dnanexus-integration/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/zaoqu-liu/scienceclaw/dnanexus-integration"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/dnanexus-integration.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 | $0.00049 | $0.02571 |
| Opus 5 | $0.00024 | $0.01286 |
| Sonnet 5 | $0.00010 | $0.00514 |
| Haiku 4.5 | $0.00005 | $0.00257 |
Grade A, and why
dnanexus-integration 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 9d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
subprocess.check_call([ This is a copy
88% identical to dnanexus-integration — 6 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 — 383 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DNAnexus Integration
Overview
DNAnexus is a cloud platform for biomedical data analysis and genomics. Build and deploy apps/applets, manage data objects, run workflows, and use the dxpy Python SDK for genomics pipeline development and execution.
When to Use This Skill
This skill should be used when:
- Creating, building, or modifying DNAnexus apps/applets
- Uploading, downloading, searching, or organizing files and records
- Running analyses, monitoring jobs, creating workflows
- Writing scripts using dxpy to interact with the platform
- Setting up dxapp.json, managing dependencies, using Docker
- Processing FASTQ, BAM, VCF, or other bioinformatics files
- Managing projects, permissions, or platform resources
Core Capabilities
The skill is organized into five main areas, each with detailed reference documentation:
1. App Development
Purpose: Create executable programs (apps/applets) that run on the DNAnexus platform.
Key Operations:
- Generate app skeleton with
dx-app-wizard - Write Python or Bash apps with proper entry points
- Handle input/output data objects
- Deploy with
dx buildordx build --app - Test apps on the platform
Common Use Cases:
- Bioinformatics pipelines (alignment, variant calling)
- Data processing workflows
- Quality control and filtering
- Format conversion tools
Reference: See references/app-development.md for:
- Complete app structure and patterns
- Python entry point decorators
- Input/output handling with dxpy
- Development best practices
- Common issues and solutions
2. Data Operations
Purpose: Manage files, records, and other data objects on the platform.
Key Operations:
- Upload/download files with
dxpy.upload_local_file()anddxpy.download_dxfile() - Create and manage records with metadata
- Search for data objects by name, properties, or type
- Clone data between projects
- Manage project folders and permissions
Common Use Cases:
- Uploading sequencing data (FASTQ files)
- Organizing analysis results
- Searching for specific samples or experiments
- Backing up data across projects
- Managing reference genomes and annotations
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.
- 9d ago First seen · 383 lines · 49 tokens per session scan A d84f78957d3d
dnanexus-integration is a skill published in the GitHub repository Zaoqu-Liu/ScienceClaw (60 stars, last pushed 5mo ago), licensed MIT. It adds 49 tokens to every session and 2,571 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). It is 88% identical to dnanexus-integration, differing in 6 lines, and is treated as a copy.
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