Alphagenome Single Variant Analysis
google-deepmind/science-skills
Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API.
Detect promoter regions in DNA sequences using the Genomic Intelligence G0 transformer (GENA-LM BERT Large), via the hosted /v1/tasks/promoter/predict API.
$ npx skills add ClawBio/ClawBio --skill gi-promoter -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ClawBio/ClawBio gi-promoter --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ClawBio/ClawBio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/gi-promoter .claude/skills/gi-promoter && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "gi-promoter" agent skill from https://github.com/ClawBio/ClawBio/tree/main/skills/gi-promoter into .claude/skills/gi-promoter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gi-promoter", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ClawBio/ClawBio/tree/main/skills/gi-promoterType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ClawBio/ClawBio --skill gi-promoter -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ClawBio/ClawBio gi-promoter --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ClawBio/ClawBio.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/gi-promoter .agents/skills/gi-promoter && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gi-promoter" agent skill from https://github.com/ClawBio/ClawBio/tree/main/skills/gi-promoter into .agents/skills/gi-promoter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gi-promoter", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ClawBio/ClawBio --skill gi-promoter -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ClawBio/ClawBio gi-promoter --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ClawBio/ClawBio.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/gi-promoter .cursor/skills/gi-promoter && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "gi-promoter" agent skill from https://github.com/ClawBio/ClawBio/tree/main/skills/gi-promoter into .cursor/skills/gi-promoter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gi-promoter", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ClawBio/ClawBio.git --path skills/gi-promoter--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ClawBio/ClawBio --skill gi-promoter -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ClawBio/ClawBio gi-promoter --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ClawBio/ClawBio.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/gi-promoter .gemini/skills/gi-promoter && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "gi-promoter" agent skill from https://github.com/ClawBio/ClawBio/tree/main/skills/gi-promoter into .gemini/skills/gi-promoter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gi-promoter", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ClawBio/ClawBio gi-promoterInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ClawBio/ClawBio --skill gi-promoter -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ClawBio/ClawBio.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/gi-promoter .github/skills/gi-promoter && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "gi-promoter" agent skill from https://github.com/ClawBio/ClawBio/tree/main/skills/gi-promoter into .github/skills/gi-promoter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gi-promoter", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ClawBio/ClawBio --skill gi-promoter -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ClawBio/ClawBio gi-promoter --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ClawBio/ClawBio.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/gi-promoter .opencode/skills/gi-promoter && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "gi-promoter" agent skill from https://github.com/ClawBio/ClawBio/tree/main/skills/gi-promoter into .opencode/skills/gi-promoter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gi-promoter", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
gi-promoterDetect promoter regions in DNA sequences using the Genomic Intelligence G0 transformer (GENA-LM BERT Large), via the hosted /v1/tasks/promoter/predict API.
Gi Promoter is an agent skill from ClawBio/ClawBio. Detect promoter regions in DNA sequences using the Genomic Intelligence G0 transformer (GENA-LM BERT Large), via the hosted /v1/tasks/promoter/predict API. Returns per-window promoter probabilities and called regions.
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files (for example `api.py`, `gi_promoter.py` and `tests/__init__.py`).
It sits in Research & Science, covering Bioinformatics. The repository describes itself as: 🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit dece754. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.genomicintelligence.aiAlso links to:
genomicintelligence.aiFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GI_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Gi Promoter loads about 2.6k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 1,011 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
cp .env.example .envset -a && source .env && set +aAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from ClawBio/ClawBio at commit dece754, republished under its MIT licence (© ClawBio). 1,011 words, ~2,601 tokens.
.claude/skills/gi-promoter/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.You are gi-promoter, a ClawBio agent that calls the Genomic Intelligence promoter-prediction model. Given a DNA sequence of 300–500,000 bp, it returns per-window promoter probabilities and called regions, all in a few hundred milliseconds 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. The same models also run interactively at https://genomicintelligence.ai. Do not submit identifiable patient data without an appropriate data-use agreement. Key setup: see Authentication below.
Fire this skill when the user says any of:
Do NOT fire when:
gi-splicegi-enhancergi-chromatingi-annotationgi-promoter → gi-expression → variant-annotation).POST https://api.genomicintelligence.ai/v1/tasks/promoter/predict. Omit model and the API resolves the default — a GENA-LM BERT Large transformer with a 2000 bp context and a 1000 bp prediction window. Shorter-context and DNABERT variants are also published; GET /v1/tasks/promoter/models is the current list, and model ids belong there rather than in this page.
Contract note. The Genomic Intelligence API publishes one operation per task, each with its own request schema: per-task
minLength/maxLengthonsequence, and a typed, closedoptionsobject (an unknown option key is a422 validation_failed, not a silent ignore). The bounds quoted in this file are the published ones, but the authority is always the served schema:GET https://api.genomicintelligence.ai/v1/openapi.json.
clawbio.gi.gi_client.read_fasta helper (uppercase; refuses multi-record input and any base outside ACGTN)./v1/tasks/promoter/predict; the API windows internally.report.md (summary + region table), result.json (full {data, meta} envelope), reproducibility/.# Demo — bundled TP53 region
python skills/gi-promoter/gi_promoter.py --demo --output /tmp/gi-promoter-demo
# Your own FASTA
python skills/gi-promoter/gi_promoter.py --input my_region.fa --output report_dir
# Pick a specific model (ids come from GET /v1/tasks/promoter/models)
python skills/gi-promoter/gi_promoter.py --demo --model <model-id>
# Via ClawBio runner
python clawbio.py run gi-promoter --demopython clawbio.py run gi-promoter --demoBundled fixture is the TP53 locus (25.8 kbp, GRCh38, gene-sense). Expect roughly 26 windows and only a small minority of them called as promoters at the default 0.5 threshold, because the TP53 promoter occupies a small part of the locus rather than most of it. The ratio is the signal, not the count: a model calling most windows would not be discriminating. Read the counts from your own run.
The skill requires a Genomic Intelligence partner key in GI_API_KEY. Resolution order:
--api-key <value> CLI flag (explicit override).GI_API_KEY environment variable.RuntimeError pointing here.A shared hackathon-tier key ships in .env.example at the repo root (opt-in only). Caps are per-key and are not published as a fixed number — read RateLimit-Limit / RateLimit-Remaining on any /v1/tasks/ response for the live allowance. The runner keeps them for you: they are in result.json under rate_limit, and a 429 names them on the error line. 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 +aRequest an individual key at contact@genomicintelligence.ai, then:
export GI_API_KEY=gi_yourkeyhereminLength / maxLength on PromoterPredictRequest and counted after whitespace is stripped. Both ends are a 422 validation_failed (over-max is not a 413 — 413 is the separate 16 MiB raw-body cap). The skill rejects either locally before spending a request.bio_spec.context_window_bp (GET /v1/tasks/promoter/models) to know whether the model saw real sequence; the skill prints a warning when you are under it. The 300 bp-context models are in regime at the floor.gi-splice returns a full set of high-confidence sites on the wrong strand, so there an empty result means no sites, never a strand error.429, you are sharing one key's caps with everyone else. Those caps are per-key and can be retuned server-side, so don't hardcode a number — RateLimit-Limit is the live burst allowance and RateLimit-Policy states the window it applies over (200;w=60 at the time of writing, so 200 per 60 seconds), while Retry-After on a 429 is the wait. All of them are in result.json under rate_limit; a 429 also prints them on the error line. Set GI_API_KEY to your own key for serious work.N produce low-confidence calls; pre-trim if the region is mostly gap.output_dir/
├── report.md # Headline counts, region table, model + timing
├── result.json # Full {data, meta} envelope from the API
└── reproducibility/
├── command.sh # Exact invocation
└── environment.json # API base, model, request_id, timestampRoutes here on: "promoter", "TSS prediction", "find promoter", "score promoter activity".
Chains with: variant-annotation (annotate variants overlapping called promoters), gi-expression (predict expression for sequences scored as promoters), gwas-lookup (look up variants in called promoter regions).
Research and development use. Not for clinical or diagnostic decisions. Hosted inference — the sequence you submit traverses the GI API endpoint. Do not submit identifiable patient data without an appropriate agreement.
© ClawBio, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files in skills/gi-promoter of ClawBio/ClawBio.
Open the folder on GitHubat commit dece754
Gi Promoter next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Gi Promoter this skillClawBio/ClawBio | 1.2k | — | ~2.6k | Automated safety check: Notes | MIT | |
| Alphagenome Single Variant Analysisgoogle-deepmind/science-skills | 3.2k | 2 repos | ~3k | Automated safety check: Notes | Apache-2.0 | |
| 13C Metabolic Flux AnalysisK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Clinvar Databasegoogle-deepmind/science-skills | 3.2k | 2 repos | ~3.9k | Automated safety check: Notes | Apache-2.0 | |
| Metabolic Study Planneraiming-lab/AutoResearchClaw | 15k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Dbsnp Databasegoogle-deepmind/science-skills | 3.2k | 2 repos | ~3.4k | Automated safety check: Notes | Apache-2.0 |
google-deepmind/science-skills
Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API.
K-Dense-AI/scientific-agent-skills
Estimates reaction fluxes inside cells from steady-state carbon-13 labeling data with a bundled mfapy-based solver, and reports which fluxes the data pin down.
google-deepmind/science-skills
A skill your agent uses when needing clinical significance, pathogenicity classifications (e.g., Pathogenic, Benign, VUS), clinical evidence rationales, or finding "hard positive" benchmark controls…
aiming-lab/AutoResearchClaw
Turns a broad metabolic modelling topic into a concrete, paper-shaped plan with organism, model, perturbations, metrics and figures before any FBA code is written.
google-deepmind/science-skills
A skill your agent uses when you want to look up, map, and search for short genetic variants (SNPs, indels) in NCBI's dbSNP database.
aiming-lab/AutoResearchClaw
Runs a metabolic flux analysis from model loading to phenotype prediction and figures by handing work to four sub-agents in sequence.
ClawBio/ClawBio
Fetch a region of cis-eQTL summary statistics from EBI eQTL Catalogue v7+ via tabix-on-FTP.
ClawBio/ClawBio
Query TCGA tumor biology through the ucscxenatoolspy API. An agent skill from ClawBio/ClawBio.
ClawBio/ClawBio
Fetch a region of GWAS summary statistics from the NHGRI-EBI GWAS Catalog harmonised collection via tabix-on-FTP.
ClawBio/ClawBio
Population genetics of pre-aligned DNA sequences or multi-sample VCFs using selected DnaSP 6 methods.
ClawBio/ClawBio
Compute pairwise r² between a lead variant and every variant in a window using the 1000 Genomes Phase 3 GRCh38 reference panel, ancestry-stratified.
ClawBio/ClawBio
Download genomes, genes, virus sequences, and taxonomy data from NCBI using the datasets and dataformat CLI tools.
Categories
Detect promoter regions in DNA sequences using the Genomic Intelligence G0 transformer (GENA-LM BERT Large), via the hosted /v1/tasks/promoter/predict API. Gi Promoter is an agent skill from ClawBio/ClawBio. Detect promoter regions in DNA sequences using the Genomic Intelligence G0 transformer (GENA-LM BERT Large), via the hosted /v1/tasks/promoter/predict API.
Gi Promoter fits situations like: tasks that involve Bioinformatics.
Run `npx skills add ClawBio/ClawBio --skill gi-promoter -a claude-code`. Or copy the skill folder (skills/gi-promoter in ClawBio/ClawBio) into .claude/skills/gi-promoter in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ClawBio/ClawBio --skill gi-promoter -a codex`. Or copy the skill folder (skills/gi-promoter in ClawBio/ClawBio) into .agents/skills/gi-promoter in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ClawBio/ClawBio --skill gi-promoter -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gi-promoter, .gemini/skills/gi-promoter, .github/skills/gi-promoter and .opencode/skills/gi-promoter in your project.
Going by SKILL.md and its folder, Gi Promoter needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named GI_API_KEY. Our summary lists: Python 3; A credential in GI_API_KEY.
SKILL.md names 2 domains. In commands or code: api.genomicintelligence.ai; the agent is likely to contact it when it follows the instructions. As links in the text: genomicintelligence.ai. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Gi Promoter is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Gi Promoter: Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars), 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars), Clinvar Database (google-deepmind/science-skills, 3.2k stars) and Metabolic Study Planner (aiming-lab/AutoResearchClaw, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ClawBio (a GitHub organization) maintains it in ClawBio/ClawBio, which has 1,155 GitHub stars. The repository holds 104 skills in this directory. The repository was last updated on October 9, 2026.
Source: ClawBio/ClawBio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.