Ncats Arax
K-DenseCommunityCreated by neuroepithelialDistributed by K-Dense
- Skill
- Tool integration
- Science and research
- MIT
- Low risk
- Has scripts
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The ncats-arax skill provides a command-line interface to interact with the NCATS Translator ARAX production API. It enables researchers to perform bounded, typed knowledge-graph lookups, including one-hop queries and endpoint-pinned two-hop traversals. The tool emphasizes transparency by preserving TRAPI exchange data, providing provenance for edge bindings, and requiring explicit acknowledgment that queries and metadata may be publicly visible. It is designed for structured, constrained biomedical graph exploration rather than open-ended inference or clinical decision support.
What it does
- Performs entity normalization to retrieve canonical identifiers and categories.
- Executes typed one-hop knowledge-graph lookups with optional qualifier constraints.
- Supports endpoint-pinned two-hop queries with configurable expansion order.
- Enables federated queries across two to five specified knowledge providers.
- Generates structured artifacts including request, response, and summary files.
- Provides an inspection utility to rebuild bounded summaries from saved TRAPI responses.
When to use it
- When you need to retrieve specific, typed biomedical relationships between known entities.
- When you require provenance and source-record details for graph edges.
- When you need to verify entity identifiers before performing graph traversals.
- When you are conducting research that requires explicit control over knowledge providers.
- When you need to inspect the raw TRAPI payload for a specific query.
Advantages
- Provides clear, bounded query shapes to ensure predictable API interactions.
- Maintains strict provenance by linking results to primary and upstream sources.
- Supports qualified queries to refine relationship aspects and directions.
- Ensures reproducibility by saving exact request and response bytes.
- Operates without requiring API keys or complex authentication.
Usage examples
- “Normalize the term ivacaftor to find its canonical CURIE and category.”
- The tool returns the canonical identifier, name, category, and synonym preview for ivacaftor, saved to a specified output directory.
- “Find one-hop relationships between CHEBI:31690 and NCBIGene:25 using the RTX-KG2 provider.”
- The tool executes a typed one-hop query and generates a summary of bound edges, provenance, and the raw TRAPI response.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/k-dense-ai/ncats-arax/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip ncats-arax.zip -d .agents/skills
Documentation by neuroepithelial
NCATS ARAX
Use ARAX as a constrained knowledge-graph lookup service. Submit reviewed CURIEs and explicit Biolink types, preserve the exact TRAPI exchange, inspect query-edge bindings and provenance, and treat every returned path as a candidate for subsequent verification.
Read query-contract.md before constructing a query. Read output-schema.md when interpreting saved artifacts, warnings, provenance, or partial results.
Safety boundary
Use only public, nonsensitive research questions. ARAX status facilities may expose query and caller metadata even when
store=falseis requested.Do not submit patient information, confidential research questions, unpublished compound programs, or proprietary target hypotheses.
Do not present a returned path as a validated mechanism or clinical recommendation.
Report a zero as "not returned under these constraints," never as evidence that no relationship exists.
Describe position as unscored response order, never rank.
Verify important candidates with literature and authoritative databases separately.
Workflow
Normalize free text separately, then review and report the proposed CURIE and category.
Choose a typed one-hop query or an exactly two-hop query with both endpoints pinned.
Use default RTX-KG2 lookup unless the user explicitly names two to five providers.
Acknowledge that the biomedical query is public and choose a new or empty output directory.
Run the client once. Do not silently change provider selection or expansion order after a failure or empty result.
Inspect
summary.jsonfor bounded bindings and provenance andresponse.jsonfor the exact TRAPI payload.Verify scientifically important paths outside ARAX.
Preflight
Check the production OpenAPI without making a biomedical query:
python skills/ncats-arax/scripts/arax_client.py preflightThe client verifies that the service identifies itself as ARAX, exposes POST /query and
GET /entity, and reports a supported TRAPI version. It reads info.x-trapi.version, falling back
to the title for older OpenAPI documents. A nonproduction endpoint or untested TRAPI series
requires an explicit override; neither override changes the fixed query shapes or operations.
Normalize an entity
Normalization is review-only and never triggers a graph query:
python skills/ncats-arax/scripts/arax_client.py normalize "ivacaftor" \
--expected-category biolink:SmallMolecule \
--max-synonyms 10 \
--acknowledge-public-query \
--output-dir outputs/normalize-ivacaftorReview the canonical identifier, name, category, and synonym preview before using a CURIE. Report
all CURIEs and categories regardless of query outcome. A category warning or zero result is a
reason to curate the identifier, not to chain automatically to /query.
One-hop lookup
Pin at least one endpoint and type both nodes:
python skills/ncats-arax/scripts/arax_client.py one-hop \
--subject-id CHEBI:31690 \
--subject-category biolink:SmallMolecule \
--predicate biolink:affects \
--object-id NCBIGene:25 \
--object-category biolink:Gene \
--qualifier biolink:object_aspect_qualifier=activity_or_abundance \
--qualifier biolink:object_direction_qualifier=decreased \
--acknowledge-public-query \
--output-dir outputs/imatinib-abl1Lookup mode is the default and fixes expansion to infores:rtx-kg2. It defaults to 20 results.
Use --result-limit N to request 1-50 results; 50 is the hard cap in either mode.
Endpoint-pinned two-hop lookup
Use exactly one typed, unpinned intermediate node:
python skills/ncats-arax/scripts/arax_client.py two-hop \
--subject-id CHEBI:66901 \
--subject-category biolink:SmallMolecule \
--predicate-1 biolink:affects \
--intermediate-category biolink:Gene \
--predicate-2 biolink:associated_with \
--object-id MONDO:0009061 \
--object-category biolink:Disease \
--qualifier-1 biolink:object_aspect_qualifier=activity_or_abundance \
--qualifier-1 biolink:object_direction_qualifier=increased \
--expand-order right-first \
--acknowledge-public-query \
--output-dir outputs/ivacaftor-cystic-fibrosisRight-first expansion is the default. If an empty result merits another attempt, run a new query
explicitly with --expand-order left-first and keep the runs separate.
Selected-provider federation
Federation is explicit and accepts two to five named providers:
python skills/ncats-arax/scripts/arax_client.py one-hop \
--subject-id CHEBI:31690 \
--subject-category biolink:SmallMolecule \
--predicate biolink:affects \
--object-id NCBIGene:25 \
--object-category biolink:Gene \
--mode federated \
--kp infores:rtx-kg2 \
--kp infores:molepro \
--acknowledge-public-query \
--output-dir outputs/federated-imatinib-abl1Federation defaults to the hard maximum of 50 results. Provider errors may coexist with useful results; such a run exits 7 after retaining its artifacts and is marked partial. The same applies to a failed provider in lookup mode. An explicit non-success ARAX response status exits 6 with the raw response retained; it must not be reported as a successful zero-result query.
Inspect saved provenance
Rebuild a bounded summary without network access:
python skills/ncats-arax/scripts/arax_client.py summarize \
--request outputs/ivacaftor-cystic-fibrosis/request.json \
--response outputs/ivacaftor-cystic-fibrosis/response.json \
--format textThe inspector accepts only the same constrained request shapes and fixed operations that the live
commands generate. Use --format json for the normalized view on standard output.
Interpret results
Follow each analysis's query-edge bindings; do not summarize every knowledge-graph edge.
Preserve the physical edge subject, predicate, object, and qualifier values returned by ARAX. Returned predicates or qualifier aspects may be more specific than the query constraint.
Inspect all source objects, including primary, aggregator, supporting-data, upstream-resource, and source-record URL fields.
Trace aggregator edges to their primary/upstream sources and publications before claiming corroboration. Multiple providers can redistribute the same record; report distinct primary evidence, not provider count as confidence or independent replication.
Treat
publication_availability: not_returnedas missing metadata, not evidence that no publications exist.Treat missing auxiliary-graph references and provider failures as explicit warnings.
Consult the raw response whenever the bounded summary omits detail or the service response is partial, unfamiliar, or scientifically surprising.
Deliberate exclusions
The client has no raw-query, workflow, operation, overlay, ranking, inference, link-prediction, Pathfinder, ARS, batch, all-provider, three-hop, cache, daemon, SDK, MCP, or natural-language-to-TRAPI surface. Do not work around those limits with direct HTTP calls under this skill.
Official references
Reviewed on 2026-09-30 against production ARAX 1.5.4 / TRAPI 1.5.0 (the URL still contains v1.4).
Live public smoke tests passed for preflight, normalization, qualified one-hop and endpoint-pinned
two-hop lookups, and RTX-KG2/MolePro federation. Results and provider availability can change.
The official introductory guide contains older response examples; use the deployed schema and
current ARAX source for field and operation contracts. No Python SDK is used by this client.
Files
- ATTRIBUTION.mdAdded by AutoGineer919 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md8.9 KiB
- references/output-schema.md8.2 KiB
- references/query-contract.md7.7 KiB
- scripts/arax_client.pyScript83.6 KiB
SKILL.md
NCATS ARAX
Use ARAX as a constrained knowledge-graph lookup service. Submit reviewed CURIEs and explicit Biolink types, preserve the exact TRAPI exchange, inspect query-edge bindings and provenance, and treat every returned path as a candidate for subsequent verification.
Read query-contract.md before constructing a query. Read output-schema.md when interpreting saved artifacts, warnings, provenance, or partial results.
Safety boundary
Use only public, nonsensitive research questions. ARAX status facilities may expose query and caller metadata even when
store=falseis requested.Do not submit patient information, confidential research questions, unpublished compound programs, or proprietary target hypotheses.
Do not present a returned path as a validated mechanism or clinical recommendation.
Report a zero as "not returned under these constraints," never as evidence that no relationship exists.
Describe position as unscored response order, never rank.
Verify important candidates with literature and authoritative databases separately.
Workflow
Normalize free text separately, then review and report the proposed CURIE and category.
Choose a typed one-hop query or an exactly two-hop query with both endpoints pinned.
Use default RTX-KG2 lookup unless the user explicitly names two to five providers.
Acknowledge that the biomedical query is public and choose a new or empty output directory.
Run the client once. Do not silently change provider selection or expansion order after a failure or empty result.
Inspect
summary.jsonfor bounded bindings and provenance andresponse.jsonfor the exact TRAPI payload.Verify scientifically important paths outside ARAX.
Preflight
Check the production OpenAPI without making a biomedical query:
python skills/ncats-arax/scripts/arax_client.py preflightThe client verifies that the service identifies itself as ARAX, exposes POST /query and
GET /entity, and reports a supported TRAPI version. It reads info.x-trapi.version, falling back
to the title for older OpenAPI documents. A nonproduction endpoint or untested TRAPI series
requires an explicit override; neither override changes the fixed query shapes or operations.
Normalize an entity
Normalization is review-only and never triggers a graph query:
python skills/ncats-arax/scripts/arax_client.py normalize "ivacaftor" \
--expected-category biolink:SmallMolecule \
--max-synonyms 10 \
--acknowledge-public-query \
--output-dir outputs/normalize-ivacaftorReview the canonical identifier, name, category, and synonym preview before using a CURIE. Report
all CURIEs and categories regardless of query outcome. A category warning or zero result is a
reason to curate the identifier, not to chain automatically to /query.
One-hop lookup
Pin at least one endpoint and type both nodes:
python skills/ncats-arax/scripts/arax_client.py one-hop \
--subject-id CHEBI:31690 \
--subject-category biolink:SmallMolecule \
--predicate biolink:affects \
--object-id NCBIGene:25 \
--object-category biolink:Gene \
--qualifier biolink:object_aspect_qualifier=activity_or_abundance \
--qualifier biolink:object_direction_qualifier=decreased \
--acknowledge-public-query \
--output-dir outputs/imatinib-abl1Lookup mode is the default and fixes expansion to infores:rtx-kg2. It defaults to 20 results.
Use --result-limit N to request 1-50 results; 50 is the hard cap in either mode.
Endpoint-pinned two-hop lookup
Use exactly one typed, unpinned intermediate node:
python skills/ncats-arax/scripts/arax_client.py two-hop \
--subject-id CHEBI:66901 \
--subject-category biolink:SmallMolecule \
--predicate-1 biolink:affects \
--intermediate-category biolink:Gene \
--predicate-2 biolink:associated_with \
--object-id MONDO:0009061 \
--object-category biolink:Disease \
--qualifier-1 biolink:object_aspect_qualifier=activity_or_abundance \
--qualifier-1 biolink:object_direction_qualifier=increased \
--expand-order right-first \
--acknowledge-public-query \
--output-dir outputs/ivacaftor-cystic-fibrosisRight-first expansion is the default. If an empty result merits another attempt, run a new query
explicitly with --expand-order left-first and keep the runs separate.
Selected-provider federation
Federation is explicit and accepts two to five named providers:
python skills/ncats-arax/scripts/arax_client.py one-hop \
--subject-id CHEBI:31690 \
--subject-category biolink:SmallMolecule \
--predicate biolink:affects \
--object-id NCBIGene:25 \
--object-category biolink:Gene \
--mode federated \
--kp infores:rtx-kg2 \
--kp infores:molepro \
--acknowledge-public-query \
--output-dir outputs/federated-imatinib-abl1Federation defaults to the hard maximum of 50 results. Provider errors may coexist with useful results; such a run exits 7 after retaining its artifacts and is marked partial. The same applies to a failed provider in lookup mode. An explicit non-success ARAX response status exits 6 with the raw response retained; it must not be reported as a successful zero-result query.
Inspect saved provenance
Rebuild a bounded summary without network access:
python skills/ncats-arax/scripts/arax_client.py summarize \
--request outputs/ivacaftor-cystic-fibrosis/request.json \
--response outputs/ivacaftor-cystic-fibrosis/response.json \
--format textThe inspector accepts only the same constrained request shapes and fixed operations that the live
commands generate. Use --format json for the normalized view on standard output.
Interpret results
Follow each analysis's query-edge bindings; do not summarize every knowledge-graph edge.
Preserve the physical edge subject, predicate, object, and qualifier values returned by ARAX. Returned predicates or qualifier aspects may be more specific than the query constraint.
Inspect all source objects, including primary, aggregator, supporting-data, upstream-resource, and source-record URL fields.
Trace aggregator edges to their primary/upstream sources and publications before claiming corroboration. Multiple providers can redistribute the same record; report distinct primary evidence, not provider count as confidence or independent replication.
Treat
publication_availability: not_returnedas missing metadata, not evidence that no publications exist.Treat missing auxiliary-graph references and provider failures as explicit warnings.
Consult the raw response whenever the bounded summary omits detail or the service response is partial, unfamiliar, or scientifically surprising.
Deliberate exclusions
The client has no raw-query, workflow, operation, overlay, ranking, inference, link-prediction, Pathfinder, ARS, batch, all-provider, three-hop, cache, daemon, SDK, MCP, or natural-language-to-TRAPI surface. Do not work around those limits with direct HTTP calls under this skill.
Official references
Reviewed on 2026-09-30 against production ARAX 1.5.4 / TRAPI 1.5.0 (the URL still contains v1.4).
Live public smoke tests passed for preflight, normalization, qualified one-hop and endpoint-pinned
two-hop lookups, and RTX-KG2/MolePro federation. Results and provider availability can change.
The official introductory guide contains older response examples; use the deployed schema and
current ARAX source for field and operation contracts. No Python SDK is used by this client.
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Declares allowed tools, Needs Python, Needs Node.js
The author says: Requires Python 3.10+ and outbound HTTPS access to arax.transltr.io. The client uses only the Python standard library and needs no API key. Queries and caller metadata may be publicly visible; never submit sensitive or patient-specific content.
Security
What our scanner noticed· Low risk
- Scripts that your agent may run
This skill includes scripts that your agent may run. Read them before you use it.
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- neuroepithelial
- Publisher
- K-Dense (Community)
- Distributed by
- K-Dense
- Source
- K-Dense-AI/scientific-agent-skills · skills/ncats-arax · commit a25cf9e
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE.md)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by neuroepithelial or K-Dense.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download ncats-arax.zip