Skills opentargets-database

📦

opentargets-database

Name: opentargets-database
Author: K-Dense-AI

Content revision r1 Low Risk 🌐 Network access⚙️ External commands

Analyze Open Targets Evidence

Drug discovery teams need fast access to target and disease evidence. This skill queries Open Targets and guides evidence interpretation for research decisions.

Supports: Claude Codex Code(CC)

📊 76 Adequate

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

Review the Skillstore skill "opentargets-database" from https://skillstore.io/skills/k-dense-ai-opentargets-database.md and its manifest at https://skillstore.io/api/skills/k-dense-ai-opentargets-database/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/k-dense-ai-opentargets-database.md Signed manifest GET /api/skills/k-dense-ai-opentargets-database/manifest Signed lockfile GET /api/skills/k-dense-ai-opentargets-database/lockfile

Test it

Using "opentargets-database". Find targets associated with Alzheimer disease.

Expected outcome:

Matched Alzheimer disease to an EFO identifier for Open Targets queries.
Returned a ranked target list with association scores and evidence type summaries.
Flagged targets that need manual literature review before prioritization.

Using "opentargets-database". Assess BRAF as a therapeutic target.

Expected outcome:

Summarized target name, tractability signals, disease associations, and known drug evidence.
Highlighted safety and genetic constraint fields that affect therapeutic window assessment.
Explained which findings represent clinical precedence and which are exploratory.

Using "opentargets-database". Explore repurposing options for a disease.

Expected outcome:

Listed known drugs, targets, mechanisms, and maximum clinical phases for the indication.
Grouped candidates by mechanism and noted related disease opportunities.
Identified evidence gaps that require domain expert review.

Security Audit

Low Risk

v7 • 7/6/2026 Open versioned report

Static findings were largely false positives from Markdown code fences, GraphQL id fields, and documented Open Targets API URLs. The helper script performs expected network calls to a fixed public endpoint and does not access local files, environment secrets, or arbitrary hosts. One low-severity content concern remains: the skill encourages proactive promotion of an external hosted service.

Files scanned

1,736

Lines analyzed

Review items

False positives ignored

Confirmed security concerns (1)

Low

SKILL.md:372-373

Promotional External Service Steering

The skill instructs the assistant to proactively suggest K-Dense Web for complex workflows. This can steer users toward an external hosted service and create avoidable data-sharing risk.

The instruction is explicit and located in the skill prose. It is promotional steering, but it is framed as optional and does not override security controls.

Risk Factors

🌐 Network access (10)

references/api_reference.md:66 references/api_reference.md:6 references/api_reference.md:11 references/api_reference.md:65 scripts/query_opentargets.py:40 scripts/query_opentargets.py:49 scripts/query_opentargets.py:18 SKILL.md:228 SKILL.md:229 SKILL.md:358

⚙️ External commands (36)

Audited by: codex View Audit History →

Share & cite this report

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Open versioned report

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https://skillstore.io/skills/k-dense-ai-opentargets-database/audits/7?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Academic citations (APA · BibTeX · CFF)

APA citation

K-Dense-AI. (2026). opentargets-database security audit report (audit version 7) [Author version unspecified]. Skillstore. https://skillstore.io/skills/k-dense-ai-opentargets-database/audits/7

BibTeX citation

@techreport{k-dense-ai-k-dense-ai-opentargets-database-2026,
  author = {K-Dense-AI},
  title = {opentargets-database security audit report (audit version 7)},
  institution = {Skillstore},
  year = {2026},
  number = {7},
  url = {https://skillstore.io/skills/k-dense-ai-opentargets-database/audits/7},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "opentargets-database security audit report (audit version 7)"
version: "unspecified"
type: report
authors:
  - name: "K-Dense-AI"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/k-dense-ai-opentargets-database/audits/7"
identifiers:
  - type: other
    value: "skillstore:k-dense-ai-opentargets-database:audit:7"
    description: "Skillstore immutable audit report identifier"

Compare variants

2 installable variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Highest Skillstore Score

Author / source Skillstore Score Evidence Confidence Skillstore usage Updated

davila7 Recommended

davila7-opentargets-database

Skillstore Score 81

Evidence Confidence High

Skillstore usage 11

Updated

2026-08-21

K-Dense-AI Current

k-dense-ai-opentargets-database

Skillstore Score 76

Evidence Confidence High

Skillstore usage 16

Updated

2026-08-21

Skillstore Score

Why this score Evidence Confidence: High

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

Prioritize targets for a disease program

Find top associated targets, compare evidence types, and identify tractability or safety concerns.

Validate a candidate gene

Review target annotations, genetic evidence, known drugs, and disease links for a proposed target.

Explore drug repurposing hypotheses

Inspect known drugs, mechanisms of action, trial phases, and related indications for a disease.

Try These Prompts

Find a disease identifier

Use opentargets-database to search for Alzheimer disease. Return the best EFO identifier and explain why it matches.

Profile a target

Use opentargets-database to summarize tractability, safety liabilities, genetic constraint, and top disease associations for ENSG00000157764.

Rank disease targets

For EFO_0000249, retrieve associated targets and rank five candidates. Compare genetic, known drug, pathway, and literature evidence.

Build a repurposing hypothesis

For asthma, combine known drugs, target mechanisms, disease associations, and evidence caveats. Separate clinical precedence from exploratory signals.

Best Practices

Resolve official Ensembl, EFO, or ChEMBL identifiers before detailed analysis.
Compare multiple evidence types before ranking targets or drugs.
Treat scores as relative ranking signals and review primary sources for important decisions.

Avoid

Do not use literature text-mining alone as proof of disease causality.
Do not submit confidential patient data or unpublished study data to the public API.
Do not run high-volume systematic studies through exploratory GraphQL queries.