Skills kegg-database

📦

kegg-database

Name: kegg-database
Author: davila7

Content revision r2 Safe 🌐 Network access📁 Filesystem access⚙️ External commands

Explore KEGG Pathways and Molecular Data

Finding connected biological records across KEGG can require several REST operations and careful identifier handling. This skill supplies focused helpers and references for reproducible academic queries.

Supports: Claude Codex Code(CC)

🥈 80 Silver

Install with my Agent

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

Agent request

Review the Skillstore skill "kegg-database" from https://skillstore.io/skills/davila7-kegg-database.md and its manifest at https://skillstore.io/api/skills/davila7-kegg-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/davila7-kegg-database.md Signed manifest GET /api/skills/davila7-kegg-database/manifest Signed lockfile GET /api/skills/davila7-kegg-database/lockfile

Test it

Using "kegg-database". Find human KEGG genes matching p53.

Expected outcome:

Matched hsa:7157, TP53. The result includes the KEGG identifier, gene symbol, and description.

Using "kegg-database". List pathways linked to human gene hsa:10458.

Expected outcome:

A table lists each linked pathway identifier and name, followed by concise pathway context from KEGG.

Using "kegg-database". Convert hsa:10458 to UniProt.

Expected outcome:

The response pairs the KEGG gene identifier with its available UniProt identifier and notes unmatched results.

Security Audit

Safe

v10 • 7/23/2026 Open versioned report

All 80 static findings are false positives caused by KEGG REST calls, documentation formatting, biological identifiers, or ordinary example text. No prompt injection, data exfiltration, shell execution, reconnaissance, or path traversal evidence was found.

Files scanned

951

Lines analyzed

Review items

False positives ignored

Risk Factors

🌐 Network access (13)

scripts/kegg_api.py:13 scripts/kegg_api.py:37 scripts/kegg_api.py:65 scripts/kegg_api.py:104 scripts/kegg_api.py:151 scripts/kegg_api.py:180 scripts/kegg_api.py:209 scripts/kegg_api.py:235 scripts/kegg_api.py:7 scripts/kegg_api.py:8 scripts/kegg_api.py:19 SKILL.md:369 SKILL.md:334

📁 Filesystem access (1)

scripts/kegg_api.py:244

⚙️ External commands (50)

No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.

Audited by: codex View Audit History →

Share & cite this report

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Open versioned report

Copy report link

https://skillstore.io/skills/davila7-kegg-database/audits/10?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Academic citations (APA · BibTeX · CFF)

APA citation

davila7. (2026). kegg-database security audit report (audit version 10) [Author version unspecified]. Skillstore. https://skillstore.io/skills/davila7-kegg-database/audits/10

BibTeX citation

@techreport{davila7-davila7-kegg-database-2026,
  author = {davila7},
  title = {kegg-database security audit report (audit version 10)},
  institution = {Skillstore},
  year = {2026},
  number = {10},
  url = {https://skillstore.io/skills/davila7-kegg-database/audits/10},
  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: "kegg-database security audit report (audit version 10)"
version: "unspecified"
type: report
authors:
  - name: "davila7"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/davila7-kegg-database/audits/10"
identifiers:
  - type: other
    value: "skillstore:davila7-kegg-database:audit:10"
    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 Current

davila7-kegg-database

Skillstore Score 80

Evidence Confidence High

Skillstore usage 10

Updated

2026-08-21

K-Dense-AI

k-dense-ai-kegg-database

Skillstore Score 50

Evidence Confidence High

Skillstore usage 9

Updated

2026-08-21

Skillstore Score

Why this score Evidence Confidence: High

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

Map genes to pathways

Find KEGG gene identifiers and retrieve their linked biological pathways.

Integrate database identifiers

Convert KEGG identifiers for integration with NCBI, UniProt, PubChem, or ChEBI datasets.

Review drug interactions

Retrieve KEGG interaction records for selected drug identifiers during nonclinical research.

Try These Prompts

Find a gene

Search KEGG genes for {gene_name} in {organism}. Return matching KEGG identifiers, names, and brief descriptions.

Map gene pathways

For KEGG gene {gene_id}, list linked pathways. Summarize each pathway and retrieve details for the top {count} results.

Convert identifiers

Convert these KEGG identifiers to {target_database}: {identifiers}. Present matched and unmatched identifiers in separate tables.

Compare organism pathways

Compare pathway {pathway_id} across {organisms}. Retrieve organism entries, linked genes, shared identifiers, and notable differences. State retrieval limits.