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 agentmods add commands/lucas-servi/kegg-mcp-server-python/kegg-pathwaygit clone --depth 1 https://github.com/Lucas-Servi/kegg-mcp-server-pythonWrote 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/commands/lucas-servi/kegg-mcp-server-python/kegg-pathway)<a href="https://agentmods.dev/commands/lucas-servi/kegg-mcp-server-python/kegg-pathway"><img src="https://agentmods.dev/badge/commands/lucas-servi/kegg-mcp-server-python/kegg-pathway.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00018 | $0.00250 |
| Opus 5 | $0.00009 | $0.00125 |
| Sonnet 5 | $0.00004 | $0.00050 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
kegg-pathway scanned grade A with 0 findings 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 5d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Pathway Deep-Dive
Provide a comprehensive overview of a KEGG pathway.
- If
$ARGUMENTSlooks like a pathway ID (e.g., hsa00010, map00010), use it directly. Otherwise callsearch_pathwayswith the argument as a keyword and pick the top result. - Call
get_pathway_infowith full detail. - Call
get_pathway_genesto list key enzymes. - Call
get_pathway_compoundsto list metabolites. - Call
render_pathway_asciiin chain mode for an overview diagram. - Present a structured summary:
- Pathway name and organism
- Biological function (1-2 sentences)
- Key enzymes (with EC numbers)
- Key metabolites
- ASCII diagram
- Related diseases or drugs (if any in the pathway data)
- Suggested follow-ups: "Try
/kegg-drugfor drugs targeting this pathway, or ask for a cross-species comparison."
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.
- 5d ago First seen · 24 lines · 18 tokens per session scan A 2abe992140cf
kegg-pathway is a command published in the GitHub repository Lucas-Servi/kegg-mcp-server-python (3 stars, last pushed 23d ago), licensed MIT. It adds 18 tokens to every session and 250 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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