Agent skill · science-research · K-Dense-AI

ontology-term-resolution agent skill by K-Dense-AI

Resolves free-text scientific labels to ontology term IDs and validates existing CURIEs against the EBI Ontology Lookup Service (OLS4). Also looks up prefixes in Bioregistry, resolves compact identifiers via Identifiers.org, maps lab shorthand with ZOOMA, and builds Ontobee term pages. Use whenever an ontology identifier must be produced or checked - annotating tissue, cell type, disease, phenotype, assay, chemical, organism, sex, or developmental stage fields; preparing metadata for GEO, ENA, BioSamples, CELLxGENE, HCA, or ISA-Tab submission; auditing a metadata table of term IDs; checking whether a term is obsolete and what replaced it; or deciding HPO vs HP. Triggers include "ontology term", "ontology ID", "CURIE", "controlled vocabulary", "UBERON", "CL:", "MONDO", "HPO", "EFO", "ChEBI", "NCBITaxon", "GO term", "PATO", "Zooma", "Bioregistry", "Identifiers.org", "Ontobee", "annotate this tissue/cell type/disease", and any request to emit or verify an identifier shaped like PREFIX:0001234.

Source and license

PublisherK-Dense-AI
RepositoryK-Dense-AI/claude-scientific-skills
LicenseMIT
Snapshot2026-10-22
Last repository commit2026-10-12
Instruction size1,846 words; 222 lines
Bundled files12

Read the publisher’s SKILL.md

Suede Skill Check: 88/100 · B

Report snapshot · · graded-v2

The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.

Source revision: a1043ef544e3. Report version 476de3e7459b. Badge URLs follow the latest listing; save the report to keep this version.

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  • Boundary clause: 0 of 4 points. 4 when the description says when not to use the skill (“Not for …”, “Do not use …”, “Use … instead”).

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ComponentPoints earnedAvailable
Structural checks5656
Description length15
Boundary clause04
Example request33
Instruction depth77
Reference files33
Bundled scripts22
Recent maintenance99
Curated-list citations37
Tool permissions declared22
Compatibility declared22

The published score is capped at 99. It measures the published files, documentation and maintenance signals. Security scan: not scanned. This assessment does not include a runtime test or a full installation-dependency review.

Install ontology-term-resolution

The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.

Skills CLI
npx skills add https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/skills/ontology-term-resolution
Claude Code, project-level copy
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/K-Dense-AI/claude-scientific-skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/ontology-term-resolution .claude/skills/
rm -rf "$tmp"
Codex, project-level copy
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/K-Dense-AI/claude-scientific-skills.git "$tmp/repo"
mkdir -p .agents/skills
cp -R "$tmp/repo/"skills/ontology-term-resolution .agents/skills/
rm -rf "$tmp"

For a user-level install, copy the folder to ~/.claude/skills/ (Claude Code) or ~/.agents/skills/ (Codex). Inside Codex, $skill-installer can also fetch a skill from GitHub. New to skills? Read How to install agent skills in Claude Code, Codex and Cursor.

K-Dense-AI/claude-scientific-skills is third-party code. Read SKILL.md and any bundled scripts before you install it.

Two badges for ontology-term-resolution

Suede Skill Check: 88/100Suede Skill Check: Grade B

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