gi-splice

name: gi-splice description: Detect splice donor and acceptor sites in DNA sequences using the Genomic Intelligence G0 BigBird transformer, via the hosted /v1/tasks/splice/predict API. Returns per-position site probabilities and called sites. license: MIT metadata: openclaw: requires: bins: - python3 env: null config: null always: false emoji: ✂️ homepage: https://docs.genomicintelligence.ai os: - darwin - linux install: - kind: pip package: requests bins: null trigger_keywords: - splice - splice site - splice donor - splice acceptor - splicing prediction - intron exon boundary - cryptic splice site - GT-AG site - gi splice - G0 splice - genomic intelligence splice author: ClawBio + Genomic Intelligence demo_data:

• path: example_data/splice_hbb.fa description: HBB gene body (chr11, GRCh38; reverse-complemented to gene-sense) — bundled real reference sequence. dependencies: python: '>=3.10' packages:
  • requests>=2.31 domain: genomics endpoints: cli: python skills/gi-splice/gi_splice.py --input {input_file} --output {output_dir} inputs:
• name: input_file type: file format:
  • fa
  • fasta
  • fna description: Single-record FASTA, typically a gene body (5'UTR → 3'UTR including introns). required: false outputs:
• name: report type: file format: md description: Markdown report — sequence + model metadata, called splice sites (position, kind, strand, probability).
• name: result type: file format: json description: Full {data, meta} response from the GI API plus a flattened summary.
• name: reproducibility type: directory description: command.sh + environment.json for exact-rerun reproducibility. tags:
• genomics
• splice
• splice-site
• splicing
• intron-exon
• dna-lm
• transformer
• gi-api version: 0.1.0

✂️ gi-splice

You are gi-splice, a ClawBio agent that calls the Genomic Intelligence splice-site model. Given a gene-body sequence, it returns called donor/acceptor sites and per-position probabilities via the hosted API.

⚠️ Remote inference — opt-in required. Unlike most ClawBio skills, this skill uploads your FASTA sequence to the hosted Genomic Intelligence API at https://api.genomicintelligence.ai. Prefer a browser? The same models run interactively at https://genomicintelligence.ai. Do not submit identifiable patient data without an appropriate data-use agreement. Key setup: see Authentication below.

Trigger

Fire this skill when the user says any of:

• "predict splice sites in this gene"
• "find splice donors/acceptors"
• "score this for cryptic splice sites"
• "splice site prediction"
• "gi-splice", "G0 splice"
• "where does this transcript splice?"

Do NOT fire when:

• The user asks for full transcript structure (multi-exon annotation) → gi-annotation
• The user asks about variant effect on splicing → use variant-annotation (VEP) or chain gi-splice ref/alt comparisons

Why This Exists

• Without it: SpliceAI / similar require local GPU + weights + careful preprocessing.
• With it: One CLI call → ranked site list with positions and probabilities, in ~1 s.
• Why ClawBio: Hosted G0 BigBird inference plus ClawBio's reproducibility bundle and chaining (gi-splice → gi-annotation → variant interpretation).

API Backed

POST https://api.genomicintelligence.ai/v1/tasks/splice/predict — default model g0-splice-bigbird (G0 BigBird transformer; long-context handling for full gene bodies).

Workflow

1. Parse: single-record FASTA via clawbio.gi.gi_client.read_fasta.
2. POST the full gene body to /v1/tasks/splice/predict.
3. Render: report.md + result.json + reproducibility/.

CLI Reference

# Demo — bundled HBB gene body
python skills/gi-splice/gi_splice.py --demo --output /tmp/gi-splice-demo

# Your own FASTA
python skills/gi-splice/gi_splice.py --input my_gene.fa --output report_dir

# Via ClawBio runner
python clawbio.py run gi-splice --demo

Demo

python clawbio.py run gi-splice --demo

Bundled fixture is HBB (β-globin) gene body, reverse-complemented to gene-sense. HBB has 3 exons / 2 introns; on the coding strand the model calls ~8 sites (≈4 donor + 4 acceptor, including lower-confidence alternates).

Authentication

The skill requires a Genomic Intelligence partner key in GI_API_KEY. Resolution order:

1. --api-key <value> CLI flag (explicit override).
2. GI_API_KEY environment variable.
3. Otherwise: the skill raises a RuntimeError pointing here.

Quick start — ClawBio hackathon key

A shared hackathon-tier key ships in .env.example at the repo root (50 concurrent / 120 rpm, opt-in only). From wherever the ClawBio files live on your machine:

# Repo root (git clone) — or ~/.claude/plugins/cache/clawbio/clawbio/<version>/ for plugin installs
cp .env.example .env
set -a && source .env && set +a

Production / heavier use

Request an individual key at contact@genomicintelligence.ai, then:

export GI_API_KEY=gi_yourkeyhere

Gotchas

• Submit gene-sense, not genomic-sense. Minus-strand genes need RC'd input. The bundled HBB fixture demonstrates this — its FASTA header notes strand:-1 (gene-sense for the minus-strand HBB gene).
• Full gene body, not just an exon. The model uses long context to disambiguate; truncated input degrades accuracy.
• Donor/acceptor pairs. The model emits independent site calls. Pair them downstream by ordering + strand consistency if you need intron boundaries.
• Hackathon key is shared — GI_API_KEY for serious work.

Output Structure

output_dir/
├── report.md              # Site table (position, kind, strand, probability)
├── result.json            # Full {data, meta} envelope
└── reproducibility/
    ├── command.sh
    └── environment.json

Integration with Bio Orchestrator

Routes here on: "splice site", "splice donor", "splice acceptor", "predict splicing".

Chains with: variant-annotation (intersect calls with VEP splice consequences), gi-annotation (cross-check against predicted exon boundaries).

Safety

Research tool. Not a clinical assay.