Agent skill

Ukb Ppp Region Fetch

by ClawBio in ClawBio/ClawBio

Fetch a regional slice of plasma pQTL summary statistics from the UK Biobank Pharma Proteomics Project (UKB-PPP; Sun 2023 Nature) for a specific (protein, ancestry) measurement.

MITAuto-check passedResearch & Science

Install Ukb Ppp Region Fetch

skills CLI
$ npx skills add ClawBio/ClawBio --skill ukb-ppp-region-fetch -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ClawBio/ClawBio ukb-ppp-region-fetch --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ClawBio/ClawBio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ukb-ppp-region-fetch .claude/skills/ukb-ppp-region-fetch && rm -rf skills-src

Use ~/.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/

Facts

Skill name
ukb-ppp-region-fetch
GitHub stars
1.2k
Token cost
~4.6k tokens
SKILL.md length
1,877 words
Files
13
Skills in repo
104
Repo updated
First seen
Licence
MIT

At a glance

Fetch a regional slice of plasma pQTL summary statistics from the UK Biobank Pharma Proteomics Project (UKB-PPP; Sun 2023 Nature) for a specific (protein, ancestry) measurement.

  • Works in 2 steps: Bundled-slice path (no auth, no setup).… → Live Synapse fetch (free PAT required).…
  • An agent needs per-variant beta / SE / p-value around a coloc-lead variant for downstream colocalisation
  • SKILL.md covers First-time setup (IMPORTANT), Overview, Trigger and Scope, plus 7 more sections
  • Runs Python scripts from its folder; calls python; reaches synapse.org; needs SYNAPSE_AUTH_TOKEN

What it does

Ukb Ppp Region Fetch is an agent skill from ClawBio/ClawBio. Fetch a regional slice of plasma pQTL summary statistics from the UK Biobank Pharma Proteomics Project (UKB-PPP; Sun 2023 Nature) for a specific (protein, ancestry) measurement. Use when an agent needs per-variant beta / SE / p-value around a coloc-lead variant for downstream colocalisation, Mendelian randomisation, or regional plotting against a pQTL exposure. The canonical use case is the cis-window around the protein's coding gene TSS, but UKB-PPP releases full-genome summary stats per protein so any GRCh38…

Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files (for example `bundled_slices/README.md`, `environment.yml` and `examples/default.json`).

It sits in Research & Science, covering Bioinformatics, Data analysis and Data visualization. It works with UniProt. The repository describes itself as: 🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free. The licence is MIT.

When your agent uses it

  • An agent needs per-variant beta / SE / p-value around a coloc-lead variant for downstream colocalisation
  • Mendelian randomisation
  • Regional plotting against a pQTL exposure
  • Supplies an explicit (chromosome

Example prompts

  • “/ukb-ppp-region-fetch”

Requirements

  • Python 3
  • A credential in SYNAPSE_AUTH_TOKEN

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Bundled-slice path (no auth, no setup). Pre-computed regional slices for the canonical demo cohort are shipped inside the skill at…
  2. Live Synapse fetch (free PAT required). For arbitrary queries beyond the bundled demo cohort, the skill falls through to a live Synapse…

What it can do on your machine

Read from SKILL.md and the folder at commit dece754. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • synapse.org

    Also links to:

    • olink.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • SYNAPSE_AUTH_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ukb Ppp Region Fetch loads about 4.6k tokens when it runs. Until then it costs about 198 tokens; SKILL.md has 1,877 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~198
When it runs · the whole SKILL.md, loaded when a task matches
~4.6k

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.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated 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.

SKILL.md

The full file from ClawBio/ClawBio at commit dece754, republished under its MIT licence (© ClawBio). 1,877 words, ~4,612 tokens.

Download SKILL.mdSave it as .claude/skills/ukb-ppp-region-fetch/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.
name
ukb-ppp-region-fetch
description
Fetch a regional slice of plasma pQTL summary statistics from the UK Biobank Pharma Proteomics Project (UKB-PPP; Sun 2023 Nature) for a specific (protein, ancestry) measurement. Use when an agent needs per-variant beta / SE / p-value around a coloc-lead variant for downstream colocalisation, Mendelian randomisation, or regional plotting against a pQTL exposure. The canonical use case is the cis-window around the protein's coding gene TSS, but UKB-PPP releases full-genome summary stats per protein so any GRCh38 window (including trans loci) is supported when the user supplies an explicit (chromosome, start_bp, end_bp). Input: protein_label (HGNC or UniProt), ancestry, chromosome, start_bp, end_bp. Output: harmonised TSV slice + manifest + human-readable report.
license
MIT
metadata.skill-author
Aviv Madar
metadata.version
0.1.0
metadata.domain
bioinformatics
metadata.tags
pqtl, ukb-ppp, region-fetch, regenie, summary-statistics, proteomics, olink
metadata.dependencies
python>=3.10, synapseclient>=3.0, requests>=2.28
metadata.demo_data
examples/sort1_ukb_ppp_eur.json
metadata.endpoints
https://repo-prod.prod.sagebase.org/repo/v1/, s3://ukbiobank.opendata.sagebase.org

🧪 UKB-PPP Region Fetch

You are UKB-PPP Region Fetch, a specialised ClawBio agent for pulling per-variant pQTL summary statistics from the UK Biobank Pharma Proteomics Project (UKB-PPP, Sun 2023 Nature). Your role is to return harmonised summary stats (β, SE, p-value, MAF) for every variant in a chromosomal window from one (protein × ancestry) Olink-Explore-3072 measurement, ready for downstream colocalisation, fine-mapping, regional plotting, or Mendelian synthesis against a protein exposure. The canonical workflow is a cis-window slice around the protein's coding gene TSS, but the skill supports any GRCh38 window (including trans loci) because UKB-PPP ships genome-wide per-protein summary statistics; the caller supplies the explicit (chromosome, start_bp, end_bp).

First-time setup (IMPORTANT)

The skill ships with two fetch paths. Most users only need the first:

  1. Bundled-slice path (no auth, no setup). Pre-computed regional slices for the canonical demo cohort are shipped inside the skill at bundled_slices/<PROTEIN>__<ANCESTRY>__chr<C>__<start>_<end>.json.gz and loaded automatically (gzipped JSON; per-variant pQTL rows compress ~8.5x, so a 5,000-variant slice is ~430 KB on disk vs ~3.5 MB raw). v0.1.0 ships the SORT1 / EUR / OID20213 slice (chr1:108,774,968-109,774,968, the 1p13.3 LDL / CHD locus); the slice convention supports additional proteins by dropping further files into bundled_slices/. If your (protein, ancestry, region) query matches a bundled slice, no Synapse account or network access is needed. Redistribution is permitted under CC-BY 4.0 with attribution; the bundled-slice manifest carries the same attribution string the live fetcher emits.

  2. Live Synapse fetch (free PAT required). For arbitrary queries beyond the bundled demo cohort, the skill falls through to a live Synapse downloader. UKB-PPP's AWS Open Data Registry bucket advertises anonymous access but in practice returns AccessDenied (verified 2026-05-15); Synapse is the only functional access path the data owner currently offers.

When a live fetch is attempted without a Synapse PAT, the skill raises a multi-line UKBPPPAccessError walking the user through getting one. Summary of the steps:

  1. Register a free account at https://www.synapse.org.
  2. Accept the Synapse Terms of Use (one-time click-through).
  3. Open https://www.synapse.org/Profile:settings → "Personal Access Tokens".
  4. Click "Create new token". Tick scopes view and download. Copy the token immediately (Synapse shows it once).
  5. Export it: export SYNAPSE_AUTH_TOKEN=<token> and re-run.

No UK Biobank Application is required for the summary-statistics layer (only for the raw Olink abundance values, which this skill does not touch).

Overview

UKB-PPP (Sun et al. 2023 Nature) is the largest open-access plasma proteomic GWAS resource, profiling 2,923 Olink Explore 3072 proteins across 54,219 UK Biobank participants stratified into European discovery (N=46,673) plus six smaller ancestry breakouts (African, Central/South Asian, East Asian, Middle East, American Hispanic, and a Combined multi-ancestry meta-analysis). Summary statistics are released per (protein × ancestry) as REGENIE step-2 outputs and packaged as <HGNC>_<UniProt>_<OlinkID>_v1_<Panel>.tar archives on Synapse (syn51364943). Each tar contains one gzipped REGENIE file per autosome + X. This skill resolves a protein label (HGNC or UniProt) to the canonical Synapse fileID, downloads the protein's tar to a local cache, extracts the per-chromosome file, filters to a (chr, start, end) window, and emits a harmonised TSV slice plus a provenance manifest.

Trigger

Fire when the user (or upstream agent step) wants:

  • A regional slice of pQTL summary statistics (β, SE, p-value) for variants in a specified GRCh38 window for one Olink reagent in UKB-PPP. Typically a cis-window around the protein's coding gene TSS (the canonical coloc workflow); trans loci work the same way when the caller supplies a non-cis (chromosome, start_bp, end_bp) (see "Do NOT fire" item on trans for the caveat that the skill does not auto-detect trans peaks).
  • The protein-side companion to an eQTL or sQTL exposure in a multi-modality coloc render (e.g. SORT1 eQTL liver × pQTL plasma × LDL-C GWAS).
  • Provenance-rich, harmonised pQTL summary stats with allele orientation preserved (ALT-effect β, REGENIE convention).

Do NOT fire when the user wants:

  • An eQTL or sQTL regional slice: use eqtl-catalogue-region-fetch instead (one fetcher handles all eQTL Catalogue quantification methods including ge/exon/tx/txrev/leafcutter, plus single-cell eQTL studies in v7+).
  • A single-variant pQTL lookup: UKB-PPP's full archive is large; a per-variant lookup against the Open Targets pQTL coloc table is cheaper for one-point queries.
  • The deCODE pQTL panel (Ferkingstad 2021): a different upstream cohort with separate access terms; this skill targets UKB-PPP only. Choose the upstream-source skill at the orchestrator level.
  • The raw Olink abundance values linked to phenotypes: those are gated behind a UK Biobank Application via Synapse syn52364558 and are out of scope for the public locuscompare render path.
  • trans-pQTL signals at distant loci: UKB-PPP releases full-genome summary stats per protein, so trans signals are present in the data, but the (chromosome, start_bp, end_bp) window must be supplied explicitly; the skill does not auto-detect trans peaks.

Scope

One skill, one task. This skill fetches one (protein × ancestry) pair's regional summary statistics from UKB-PPP and writes them as a harmonised TSV plus a provenance manifest. It does NOT iterate proteins, ancestries, or windows; it does NOT do pQTL fine-mapping or coloc directly; it does NOT fetch eQTL / sQTL / sceQTL (use eqtl-catalogue-region-fetch); it does NOT fetch the deCODE pQTL panel. The caller composes those workflows on top.

Workflow

When an agent asks for a regional pQTL slice from UKB-PPP:

  1. Resolve the protein. The skill lists the requested ancestry folder on Synapse (syn51365303 for EUR, etc.) and parses <HGNC>_<UniProt>_<OlinkID>_v1_<Panel>.tar filenames into a (HGNC, UniProt) -> Synapse fileID index. Lookup tolerates both keys; HGNC is the default surface. The listing call is auth-free; only the subsequent download requires a Synapse PAT.
  2. Resolve the ancestry. EUR is the default for most coloc renders given its 50x cohort size advantage; use AFR / EAS / CSA / MID / AMR for ancestry-specific renders. The 1000 Genomes super-population for the LD reference panel (1000G Phase 3) maps EUR -> EUR, AFR -> AFR, EAS -> EAS, CSA/SAS -> SAS, MID -> EUR proxy with caption caveat, AMR -> AMR.
  3. Download the tar (cached). First fetch downloads the protein tar via synapseclient to the local cache (UKB_PPP_CACHE_DIR env or ~/.clawbio/ukb_ppp_region_fetch_cache/). Repeat fetches across regions on the same protein reuse the cached tar.
  4. Extract the chromosome. The tar contains one gzipped REGENIE file per autosome + X. The parser matches chr<N> on a strict word boundary so chr1 doesn't accidentally pull chr10.
  5. Stream-filter to the window. REGENIE files are plain gzip (not BGZ / tabix), so regional fetches scan one chromosome's file linearly. ~1M rows per chromosome; ~2 s on a modern laptop per window. Rows are normalised to OT chr_pos_ref_alt ALT-effect convention; LOG10P is converted to a linear p-value; A1FREQ above 0.5 is folded to MAF.
  6. Write outputs to --output <dir>/: a flat variants.tsv (effect-allele-aligned, GRCh38, ALT-effect β), a manifest.yaml with provenance (study_label, release_label, protein_hgnc, protein_uniprot, olink_reagent_id, olink_panel, ancestry, ancestry_label, n_samples, synapse_id, source_url, fetched-at UTC timestamp, attribution string), and a report.md human-readable summary.

CLI Reference

bash
# Standard usage with a config file (Synapse PAT in env)
SYNAPSE_AUTH_TOKEN=... python skills/ukb-ppp-region-fetch/ukb_ppp_region_fetch.py \
    --input <config.json> --output <output_dir>

# Bundled demo (SORT1 plasma pQTL in EUR; the canonical 1p13.3 LDL/CHD locus)
SYNAPSE_AUTH_TOKEN=... python skills/ukb-ppp-region-fetch/ukb_ppp_region_fetch.py \
    --demo sort1_ukb_ppp_eur --output /tmp/sort1_ukbppp_demo

# List the bundled demos
python skills/ukb-ppp-region-fetch/ukb_ppp_region_fetch.py --list-demos

# Via ClawBio runner
SYNAPSE_AUTH_TOKEN=... python clawbio.py run ukb-ppp-region-fetch --input <config.json>

Config schema (JSON or YAML):

json
{
  "protein_label": "SORT1",
  "ancestry": "EUR",
  "chromosome": "1",
  "start_bp": 108774968,
  "end_bp": 109774968
}

Example Output

Running --demo sort1_ukb_ppp_eur (see examples/expected_output.md for the full reproduction):

info: using bundled demo
ukb-ppp-region-fetch: ~120,000 variants -> /tmp/sort1_ukbppp_demo/variants.tsv
  source: UKB-PPP | SORT1 (Q99523, OID20213) | European (discovery) (EUR)
Show full SKILL.md (753 more words)Show less

Gotchas

  1. Live fetch requires a free Synapse PAT, not anonymous AWS Open Data. The AWS Open Data Registry page advertises arn:aws:s3:::ukbiobank.opendata.sagebase.org as public with AccountRequired: False, but anonymous reads against that bucket return AccessDenied as of 2026-05-15. The canonical functional access path is Synapse: request a free PAT at https://www.synapse.org/Profile:settings and export it as SYNAPSE_AUTH_TOKEN. The bundled-slice path (see "First-time setup" above) handles the canonical demo cohort without any auth; the PAT is only needed for queries outside that cohort. No UK Biobank Application is required for the summary-stats layer (only for the raw Olink abundance values, which this skill does not touch).

  2. One protein, one tar, full-genome. UKB-PPP packages each protein's summary stats as a single tar with one REGENIE file per chromosome; there is no per-chromosome download. First-fetch for a protein downloads ~100–500 MB. Subsequent regional fetches on the same protein reuse the cached tar.

  3. REGENIE LOG10P, not -log10(p). The REGENIE column reports |log10(p)| (always positive). The skill converts to linear p_value = 10^-LOG10P at the row boundary. Very small p-values (LOG10P > ~300) underflow Python float and are clamped to 0.0 rather than raising.

  4. A1FREQ is the ALLELE1 (ALT, effect) frequency, not MAF. The skill exposes both: effect_allele_frequency is the raw A1FREQ; maf is folded to ≤ 0.5. Downstream code (e.g. palindromic-variant excluder) reads effect_allele_frequency.

  5. β is on the ALT allele. Identical convention to eQTL Catalogue and GWAS Catalog harmonised; no extra harmonisation step is required when joining UKB-PPP rows to other OT-shaped feeds, but the palindromic-variant exclusion in the orchestrator still applies for strand ambiguity.

  6. Some HGNC symbols map to >1 Olink reagent. The Olink Explore 3072 panel has isoform-discriminating reagents for a handful of proteins (multi-OID HGNC entries). The default lookup returns the first hit alphabetically by Olink ID; pass the target OID explicitly via the alternate resolve_by_olink_id path if isoform identity matters for your render.

  7. Per-chromosome file names vary slightly across the release. The parser matches chr<N> on a strict word boundary inside .tar members, accepting names like discovery_chr1_<protein>_*.regenie.gz or chr1_*.tsv.gz. The strict boundary prevents chr1 from accidentally matching chr10 / chr11, a class of bug that would silently return the wrong chromosome's data.

Safety

Not for clinical decisions. This skill returns research-grade summary statistics from a public proteomic GWAS. Do not use the output for direct clinical decision-making, diagnosis, or treatment selection without independent validation by a qualified clinician.

Effect estimates may not generalise across populations. UKB-PPP's discovery cohort is overwhelmingly European (N=46,673 vs N=931 for African, the next-largest stratum). Effect sizes from EUR-discovery analyses should not be assumed to apply uniformly across other ancestries; the orchestrator's caption layer flags this when the ancestry side of an LD reference panel mismatches the source study.

Plasma vs tissue. UKB-PPP measures circulating plasma proteins, which is biologically distinct from cell- or tissue-level protein abundance. Downstream interpretation should not assume a plasma cis-pQTL implies an identical effect on intra-cellular abundance for the same protein.

Agent Boundary

The skill returns harmonised summary statistics (β, SE, p-value, MAF, EAF) for variants in a chromosomal window from one (protein × ancestry) UKB-PPP measurement. The agent should:

  • Use the output as input to colocalisation, fine-mapping, or Mendelian randomisation tooling. These are the appropriate downstream methods for inferring causal effects.
  • NOT make causal-effect claims directly from a single pQTL p-value. Statistical association ≠ causation; instrumental-variable assumptions must be satisfied for MR.
  • NOT cherry-pick variants by p-value alone. Statistical inference requires the full credible set / window context.
  • NOT compare effect sizes across ancestries without acknowledging cohort N. EUR's 50x sample-size advantage means EUR effect estimates have much tighter SEs; "no effect" in a small-N ancestry stratum may reflect power, not biology.
  • Surface protein identity, Olink reagent ID, and ancestry in the user-facing reply alongside any β / p-value the agent quotes. Per the user-friendly enum-expansion rule (AGENTS.md), expand all three fields: protein = SORT1 (Q99523, OID20213); ancestry = European (discovery) (EUR); N = 46,673.
  • NOT silently swap Olink reagents. If the user asked for SORT1 and the dataset is SORT1-AOH2 (a different isoform reagent), the agent must say so explicitly.

Citations

  • Sun, B.B., Chiou, J., Traylor, M. et al. (2023). Plasma proteomic associations with genetics and health in the UK Biobank. Nature 622, 329–338. doi:10.1038/s41586-023-06592-6 (PMID 37794186).
  • UKB-PPP data release: https://www.synapse.org/Synapse:syn51364943 (Sage Bionetworks, CC-BY 4.0).
  • REGENIE: Mbatchou, J. et al. (2021). Computationally efficient whole-genome regression for quantitative and binary traits. Nat Genet 53, 1097–1103.
  • Olink Explore 3072 panel content: https://olink.com/products-services/explore/.
  • synapseclient Python library: Sage Bionetworks (Apache-2.0). Used by the live-fetch path; not invoked when serving a bundled slice.

© ClawBio, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 12 other files in skills/ukb-ppp-region-fetch of ClawBio/ClawBio.

  • SKILL.md
  • .gitignore
  • LICENSE
  • bundled_slices/README.md
  • bundled_slices/SORT1__EUR__chr1__108774968_109774968.json.gz
  • environment.yml
  • examples/default.json
  • examples/expected_output.md
  • examples/sort1_ukb_ppp_eur.json
  • tests/conftest.py
  • tests/test_live_ukb_ppp_region_fetch.py
  • tests/test_ukb_ppp_region_fetch.py
  • ukb_ppp_region_fetch.py

Open the folder on GitHubat commit dece754

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Works with

Questions about Ukb Ppp Region Fetch

What does Ukb Ppp Region Fetch do?

Fetch a regional slice of plasma pQTL summary statistics from the UK Biobank Pharma Proteomics Project (UKB-PPP; Sun 2023 Nature) for a specific (protein, ancestry) measurement. Ukb Ppp Region Fetch is an agent skill from ClawBio/ClawBio. Fetch a regional slice of plasma pQTL summary statistics from the UK Biobank Pharma Proteomics Project (UKB-PPP; Sun 2023 Nature) for a specific (protein, ancestry) measurement.

When should I use Ukb Ppp Region Fetch?

Ukb Ppp Region Fetch fits situations like: an agent needs per-variant beta / SE / p-value around a coloc-lead variant for downstream colocalisation; mendelian randomisation; regional plotting against a pQTL exposure; supplies an explicit (chromosome.

How do I install Ukb Ppp Region Fetch in Claude Code?

Run `npx skills add ClawBio/ClawBio --skill ukb-ppp-region-fetch -a claude-code`. Or copy the skill folder (skills/ukb-ppp-region-fetch in ClawBio/ClawBio) into .claude/skills/ukb-ppp-region-fetch in your project. Claude Code loads it when a task matches its description.

How do I install Ukb Ppp Region Fetch in Codex?

Run `npx skills add ClawBio/ClawBio --skill ukb-ppp-region-fetch -a codex`. Or copy the skill folder (skills/ukb-ppp-region-fetch in ClawBio/ClawBio) into .agents/skills/ukb-ppp-region-fetch in your project. Codex loads it when a task matches its description.

Can I use Ukb Ppp Region Fetch in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ClawBio/ClawBio --skill ukb-ppp-region-fetch -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ukb-ppp-region-fetch, .gemini/skills/ukb-ppp-region-fetch, .github/skills/ukb-ppp-region-fetch and .opencode/skills/ukb-ppp-region-fetch in your project.

What does Ukb Ppp Region Fetch need to run?

Going by SKILL.md and its folder, Ukb Ppp Region Fetch needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named SYNAPSE_AUTH_TOKEN. Our summary lists: Python 3; A credential in SYNAPSE_AUTH_TOKEN.

Does Ukb Ppp Region Fetch access the network?

SKILL.md names 2 domains. In commands or code: synapse.org; the agent is likely to contact it when it follows the instructions. As links in the text: olink.com. This is read from the text; nothing was executed.

Is Ukb Ppp Region Fetch safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ukb Ppp Region Fetch use?

Ukb Ppp Region Fetch is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ukb Ppp Region Fetch use?

About 4.6k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ukb Ppp Region Fetch?

Skills that share tags, products or a category with Ukb Ppp Region Fetch: CSV Data Analysis (5zjk5/prompt-engineering, 127 stars), Scanpy Single-Cell Analysis (davila7/claude-code-templates, 33k stars), Data Analysis (fastclaw-ai/fastclaw, 1.4k stars) and Bio Population Genetics Linkage Disequilibrium (GPTomics/bioSkills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ukb Ppp Region Fetch?

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.