Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add beita6969/ScienceClaw --skill kegg-pathwaygit clone --depth 1 https://github.com/beita6969/ScienceClawWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/beita6969/scienceclaw/kegg-pathway)<a href="https://agentmods.dev/skills/beita6969/scienceclaw/kegg-pathway"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/kegg-pathway/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/beita6969/scienceclaw/kegg-pathway"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/kegg-pathway.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00076 | $0.01363 |
| Opus 5 | $0.00038 | $0.00681 |
| Sonnet 5 | $0.00015 | $0.00273 |
| Haiku 4.5 | $0.00008 | $0.00136 |
Grade A, and why
kegg-pathway scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
metadata: { "openclaw": { "emoji": "🗺️", "requires": { "bins": ["curl"] } } } How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
KEGG Pathway Database REST API
Access the Kyoto Encyclopedia of Genes and Genomes (KEGG) for pathway maps, gene annotations, compound data, drug info, and disease records. No authentication required.
API Endpoints
Base: https://rest.kegg.jp
GET /list/{database} -- List all entries in a database
# List all human pathways
curl -s "https://rest.kegg.jp/list/pathway/hsa"
# List all KEGG organisms
curl -s "https://rest.kegg.jp/list/organism"
GET /find/{database}/{query} -- Search by keyword
# Search pathways for "apoptosis"
curl -s "https://rest.kegg.jp/find/pathway/apoptosis"
# Search genes for BRCA1 across all organisms
curl -s "https://rest.kegg.jp/find/genes/brca1"
# Search compounds by name
curl -s "https://rest.kegg.jp/find/compound/glucose"
# Search diseases by keyword
curl -s "https://rest.kegg.jp/find/disease/diabetes"
GET /get/{entry} -- Retrieve full entry details
# Get a pathway entry (human apoptosis pathway)
curl -s "https://rest.kegg.jp/get/hsa04210"
# Get a human gene entry
curl -s "https://rest.kegg.jp/get/hsa:7157"
# Get a compound entry (glucose)
curl -s "https://rest.kegg.jp/get/C00031"
# Get a KEGG Orthology entry
curl -s "https://rest.kegg.jp/get/K00001"
# Get pathway map as image
curl -s "https://rest.kegg.jp/get/hsa04210/image" -o apoptosis.png
GET /link/{target}/{source} -- Cross-reference between databases
# Find all genes in a pathway
curl -s "https://rest.kegg.jp/link/hsa/hsa04210"
# Find pathways associated with a gene
curl -s "https://rest.kegg.jp/link/pathway/hsa:7157"
# Find compounds in a pathway
curl -s "https://rest.kegg.jp/link/compound/hsa00010"
# Find diseases linked to a gene
curl -s "https://rest.kegg.jp/link/disease/hsa:672"
# Link KEGG Orthology to pathways
curl -s "https://rest.kegg.jp/link/pathway/ko:K00001"
GET /conv/{target}/{source} -- Convert between ID systems
# Convert KEGG gene IDs to NCBI Gene IDs
curl -s "https://rest.kegg.jp/conv/ncbi-geneid/hsa:7157"
# Convert NCBI Gene IDs to KEGG
curl -s "https://rest.kegg.jp/conv/hsa/ncbi-geneid:7157"
# Convert KEGG compound to PubChem
curl -s "https://rest.kegg.jp/conv/pubchem/compound:C00031"
# Convert UniProt to KEGG gene IDs
curl -s "https://rest.kegg.jp/conv/hsa/uniprot:P04637"
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 132 lines · 76 tokens per session scan A 01ea7de81407
kegg-pathway is a skill published in the GitHub repository beita6969/ScienceClaw (898 stars, last pushed 3mo ago), licensed MIT. It adds 76 tokens to every session and 1,363 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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