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KEGG Query

v1.0.0

Query KEGG database for drug information, pathway analysis, and disease-drug-target discovery. Use this skill when: (1) Looking up drug information including...

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by@hollyya
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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Benign
high confidence
✓
Purpose & Capability
Name/description (KEGG Query) match the provided code and SKILL.md: all examples implement searches, GETs, and parsing of KEGG entries via the official REST API (https://rest.kegg.jp). There are no unrelated credentials, binaries, or config paths required.
✓
Instruction Scope
SKILL.md and the example scripts only instruct network calls to the KEGG REST endpoints and local parsing/formatting. They do not read local secrets, scan unrelated files, or send data to endpoints other than rest.kegg.jp. The only external integration mentioned (OpenBioMed) is optional/example usage and does not introduce extra required permissions.
✓
Install Mechanism
Instruction-only skill with example Python scripts; there is no install specification and no downloads of third-party code. The examples use the standard 'requests' library, which is expected for HTTP access.
✓
Credentials
No required environment variables, credentials, or config paths are declared or used. The skill does perform outbound HTTP requests to KEGG, which is proportional and necessary for its function.
✓
Persistence & Privilege
Skill is not marked always:true and does not request persistent system presence or modify other skills. Default autonomous invocation is allowed (platform default) but this skill's capabilities are limited to KEGG queries.
Assessment
This skill appears coherent and does what it claims: example Python code calls the public KEGG REST API and parses results. There are no requested secrets or risky install steps. Consider: (1) queries are sent to rest.kegg.jp — avoid sending sensitive or personally identifiable data to any external service, (2) respect KEGG rate limits for bulk queries (examples mention batching/delays), and (3) review example code (uses the 'requests' library) before running in a production environment. If you require offline or private datasets, this skill will not provide that.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

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