quickgo-database SKILL.md skillA

quickgo-database from jaechang-hits/sciagent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jaechang-hits/sciagent-skills/quickgo-database@git:20260528.3e3f998

Pins git:20260528.3e3f998 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jaechang-hits/sciagent-skills
Path
skills/genomics-bioinformatics/databases/quickgo-database/SKILL.md
Versions recorded
1
Latest version
git:20260528.3e3f998, committed May 28, 2026
Size
27,758 bytes
Repository stars
381
License
a license file GitHub does not identify

Query EBI QuickGO REST API for GO terms and protein annotations. Fetch term metadata by ID, search by keyword, walk ancestor/descendant hierarchies, download annotations filtered by taxon, evidence code, aspect. Use for GO resolution, ontology traversal, annotation retrieval before enrichment. Use gseapy-gene-enrichment for enrichment; uniprot-protein-database for proteins.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# QuickGO Database

## Overview

QuickGO is the EBI's Gene Ontology annotation browser and REST API. It provides programmatic access to the GO ontology (terms, synonyms, hierarchies) and to the manually curated and electronic GO annotations for proteins across all species. The API is free, requires no authentication, and returns JSON responses. All endpoints live under `https://www.ebi.ac.uk/QuickGO/services/`.

## When to Use

- Resolving a GO term ID (e.g., `GO:0006915`) to its name, definition, and aspect (biological_process, molecular_function, cellular_component)
- Retrieving all GO annotations for a UniProt protein, filtered by evidence code and taxon
- Searching GO terms by keyword (e.g., "apoptosis") to find relevant term IDs before enrichment analysis
- Walking the GO DAG upward (ancestors) or downward (descendants) from a specific term
- Getting annotation counts stratified by evidence code or GO aspect for a set of proteins
- Resolving multiple GO IDs in one batch request to avoid looping over individual term lookups
- For enrichment analysis (ORA/GSEA) on a gene list use `gseapy-gene-enrichment`; QuickGO provides the raw annotation data
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jaechang-hits/sciagent-skills/quickgo-database@sha256:4bc2c5a5e28b5ec9

The line at the top of this page pins the label git:20260528.3e3f998, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_sjbmthcb56ijnpbb.svg)](https://markdownregistry.com/a/art_sjbmthcb56ijnpbb)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on May 28, 2026.

versioncommittedcommitsizeaudit
git:20260528.3e3f998 latest2026-05-28 3e3f998 27,758 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (27758 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

jaechang-hits/sciagent-skills · 381 stars · license a license file GitHub does not identify · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_sjbmthcb56ijnpbb
GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/quickgo-database
GET https://markdownregistry.com/api/v1/blob/4bc2c5a5e28b5ec9bf8d99a04b1cecc2ecc60edbf4170013a534a306b7abb89a

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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