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K-Dense-AI/scientific-agent-skills/skills/ontology-term-resolution/SKILL.md

ontology-term-resolution

Resolve free-text scientific labels to ontology term IDs and validate existing CURIEs against the EBI Ontology Lookup Service (OLS4). 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ENA, BioSamples, CELLxGENE, HCA, or ISA-Tab submission; auditing a metadata table of term IDs; checking whether a term is obsolete and what replaced it; or map

Source repository stars
31,966
Declared platforms
0
Static risk flags
1
Last source update
2026-07-28
Source checked
2026-07-28

Decision brief

What it does—and where it fits

Resolve free-text scientific labels to ontology term IDs and validate existing CURIEs against the EBI Ontology Lookup Service (OLS4). 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, C…

Best for

  • Any time an ontology identifier is about to be written down or trusted: annotating a metadata column, filling a submission template, auditing a table someone else produced, or checking whether an ID in an old file is st…

Not for

  • Tasks that require unconfirmed production actions or broad system permissions.
  • Environments where the pinned source and install steps cannot be inspected.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill "skills/ontology-term-resolution"
Safe inspection promptEditorial

Inspect the Agent Skill "ontology-term-resolution" from https://github.com/K-Dense-AI/scientific-agent-skills/blob/e7ac42510774624f327003c95b6650e2883bc01d/skills/ontology-term-resolution/SKILL.md at commit e7ac42510774624f327003c95b6650e2883bc01d. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    accept fuzzy fallbacks, then review the partial hits by hand

    python3 resolveterms.py "left ventrical of heart" --ontology uberon --top 3 bash python3 validateterms.py UBERON:0002107 EFO:0001067 UBERON:9999999

    python3 resolveterms.py "left ventrical of heart" --ontology uberon --top 3 bash python3 validateterms.py UBERON:0002107 EFO:0001067 UBERON:9999999id status actuallabel ontology replacement detail UBERON:0002107 ok liver uberon EFO:0001067 obsolete obsoleteparasitic infection efo MONDO:0005135 obsolete; replaced by MONDO:0005135 UBERON:9999999 notfound no such ter…
  2. 02

    When to use

    Any time an ontology identifier is about to be written down or trusted: annotating a metadata column, filling a submission template, auditing a table someone else produced, or checking whether an ID in an old file is still current.

    Any time an ontology identifier is about to be written down or trusted: annotating a metadata column, filling a submission template, auditing a table someone else produced, or checking whether an ID in an old file is st…
  3. 03

    The rule

    Never write an ontology ID from memory, and never accept one without checking it.

    Never write an ontology ID from memory, and never accept one without checking it.Ontology IDs are memorable in form and arbitrary in detail. A plausible-looking UBERON:0002108 is a real term (small intestine) that is not the liver, and nothing downstream will catch the substitution — the ID is well-…Every ID this skill emits comes from a live OLS lookup. Every ID it is handed gets verified.
  4. 04

    Two directions

    Both take single values or files, emit TSV or JSON, and need no packages beyond the standard library.

    Both take single values or files, emit TSV or JSON, and need no packages beyond the standard library.
  5. 05

    Resolve text to terms

    bash cd skills/ontology-term-resolution/scripts

    bash cd skills/ontology-term-resolution/scripts

Permission review

Static risk signals and limitations

Runs scripts

medium · line 36

The documentation asks the agent to run terminal commands or scripts.

python3 resolve_terms.py "liver" --ontology uberon

Runs scripts

medium · line 46

The documentation asks the agent to run terminal commands or scripts.

python3 resolve_terms.py --input tissues.txt --ontology uberon \

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score82/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars31,966SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
K-Dense-AI/scientific-agent-skills
Skill path
skills/ontology-term-resolution/SKILL.md
Commit
e7ac42510774624f327003c95b6650e2883bc01d
License
MIT
Collected
2026-07-28
Default branch
main
View the original SKILL.md

Ontology Term Resolution

When to use

Any time an ontology identifier is about to be written down or trusted: annotating a metadata column, filling a submission template, auditing a table someone else produced, or checking whether an ID in an old file is still current.

The rule

Never write an ontology ID from memory, and never accept one without checking it.

Ontology IDs are memorable in form and arbitrary in detail. A plausible-looking UBERON:0002108 is a real term (small intestine) that is not the liver, and nothing downstream will catch the substitution — the ID is well-formed, the ontology is right, and the metadata is silently wrong. Reviewers cannot spot it either, which is why these errors persist into published datasets.

Every ID this skill emits comes from a live OLS lookup. Every ID it is handed gets verified.

Two directions

DirectionScriptQuestion answered
text → IDscripts/resolve_terms.pyWhat is the term for "left ventricle"?
ID → verdictscripts/validate_terms.pyIs EFO:0001067 real, current, and labelled what this file claims?

Both take single values or files, emit TSV or JSON, and need no packages beyond the standard library.

Resolve text to terms

cd skills/ontology-term-resolution/scripts

# one string, constrained to the ontology that should define it
python3 resolve_terms.py "liver" --ontology uberon
query   rank  curie           label  ontology  match_type   strategy  defining_ontology
liver   1     UBERON:0002107  liver  uberon    exact_label  exact     true
# a column of tissue names; anything not an exact hit is reported, not guessed
python3 resolve_terms.py --input tissues.txt --ontology uberon \
    --exact-only --format tsv -o resolved.tsv

# accept fuzzy fallbacks, then review the partial hits by hand
python3 resolve_terms.py "left ventrical of heart" --ontology uberon --top 3

The search escalates exact (label and synonym) → tokenfulltext and stops at the first strategy that returns anything, reporting which one fired. --exact-only disables the ladder. --branch UBERON:0000465 restricts candidates to descendants of a term.

Read match_type before using a result. exact_label and exact_synonym are safe; partial means OLS returned its best guess for a string that does not exist as written, and needs a human decision. unresolved is a legitimate output — see references/curation-rules.md for the normalisations worth retrying first.

Validate existing IDs

python3 validate_terms.py UBERON:0002107 EFO:0001067 UBERON:9999999
id              status     actual_label                  ontology  replacement     detail
UBERON:0002107  ok         liver                         uberon
EFO:0001067     obsolete   obsolete_parasitic infection  efo       MONDO:0005135   obsolete; replaced by MONDO:0005135
UBERON:9999999  not_found                                                          no such term in the ontology this prefix names

Exit code is 1 if anything failed, 0 otherwise, 2 on usage or network trouble — so it works as a CI gate on a metadata file:

# id + label columns; catches IDs that exist but are labelled as something else
python3 validate_terms.py --input metadata.tsv --strict

# a tissue column must hold UBERON anatomical entities and nothing else
python3 validate_terms.py --input tissue_ids.tsv \
    --branch UBERON:0000465 --expect-ontology uberon
StatusMeaningVerdict
okExists, current, consistent with everything assertedpass
matched_synonymClaimed label is a synonym; primary label differswarn
imported_onlyHome ontology no longer asserts this IDwarn
not_a_classTerm is a property or individualwarn
not_foundNo such termfail
obsoleteObsoleted; replacement gives the successor when one existsfail
label_mismatchID and claimed label describe different thingsfail
wrong_ontologyRight kind of ID, wrong ontology for this columnfail
wrong_branchNot a descendant of the required rootfail
malformed_curieNot of the form PREFIX:localfail

--strict promotes warnings to failures.

API behaviour that will mislead you

These are verified against the live service and are the reason this skill ships scripts rather than a recipe. Full detail in references/ols4-api.md.

TrapConsequence
exact=true is exact token matchingliver returns 161 hits in UBERON; adding queryFields=label returns 1
/search never returns is_obsolete or term_replaced_byNamed in fieldList they are dropped silently; only term detail can answer "is this ID still current"
ontology=efo returns MONDO and CL hitsOntologies import each other; filter on the CURIE prefix yourself
The same term appears once per importing ontologyDeduplicate on obo_id, keep is_defining_ontology: true
The obo_id index has holesMONDO:0000001 is live but unindexed by obo_id; an IRI fallback is required to avoid a false not_found
IRIs are not all OBO PURLsEFO and Orphanet use their own namespaces — resolve IRIs, do not template them
OxO is retiredReturns HTML with HTTP 200; use term cross-references or SSSOM instead
A branch check does not exclude cell types from anatomyCARO puts cell under anatomical structure; constrain the prefix too

Choosing the ontology

MONDO for disease, HP for phenotype, UBERON for tissue, CL for cell type, EFO for assay, ChEBI for compounds, NCBITaxon for organism, PATO for sex and for normal. Prefix-to-OLS-id mappings (HP is served as hp, Orphanet as ordo), branch roots for --branch, and the overlapping-ontology judgement calls are in references/ontology-registry.md.

Reporting results

Give the ID and the label, and say how each was matched. A table of bare IDs cannot be reviewed. State unresolved terms explicitly rather than filling them with the nearest hit.

References

  • references/ols4-api.md — endpoints, parameters, response fields, and every verified trap.
  • references/ontology-registry.md — prefix/ontology-id table, branch roots, which ontology owns which concept.
  • references/curation-rules.md — candidate-selection procedure, normalisations to retry, auditing an existing table, obsolete terms, cross-ontology mapping.

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