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The skill appears to implement GO/KEGG enrichment as described, but there are multiple internal inconsistencies (R vs Python tooling, contradictory statements about network access) that warrant cautio... [内容已截断]
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{
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"_id": "k9759fj65saqdga4879e4m3w518215tm",
"changelog": "Initial release: GO and KEGG enrichment analysis skill for gene lists.\n\n- Supports enrichment analysis for GO (BP, MF, CC) and KEGG pathways in multiple organisms.\n- Accepts gene lists (symbols or IDs), with flexible input and background options.\n- Outputs enriched terms, statistics, and multiple visualizations (barplot, dotplot, enrichment map).\n- Provides automatic biological interpretations and summaries for results.\n- Requires R\/Bioconductor (clusterProfiler, org.*.eg.db) and Python (rpy2, pandas) environments.\n- Includes security, risk, and usage guidelines for safe and effective execution.",
"changelogSource": "user",
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"parsed": {
"clawdis": {
"author": "AIPOCH"
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"version": "1.0.0"
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"displayName": "AIpoch",
"handle": "aipoch-ai",
"image": "https:\/\/avatars.githubusercontent.com\/u\/258999481?v=4",
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"skill": {
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"displayName": "GO\/KEGG Enrichment",
"latestVersionId": "k9759fj65saqdga4879e4m3w518215tm",
"ownerUserId": "kn76fcc8jhxekae91m2ekbrsgn821avs",
"slug": "go-kegg-enrichment",
"stats": {
"comments": 0,
"downloads": 260,
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"installsCurrent": 2,
"stars": 0,
"versions": 1
},
"summary": "Performs GO (Gene Ontology) and KEGG pathway enrichment analysis on gene lists. Trigger when: - User provides a list of genes (symbols or IDs) and asks for e...",
"tags": {
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"Enrichment analysis": "k9759fj65saqdga4879e4m3w518215tm",
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