Borrowing it
Nothing to install: this file belongs to dbcls/togomcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dbcls/togomcp/main/.claude/skills/disease-analysis/SKILL.mdgit clone --depth 1 https://github.com/dbcls/togomcpWrote 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/dbcls/togomcp/disease-analysis)<a href="https://agentmods.dev/skills/dbcls/togomcp/disease-analysis"><img src="https://agentmods.dev/badge/skills/dbcls/togomcp/disease-analysis.svg" alt="Measured on agentmods" 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 | $0.00149 | $0.02502 |
| Opus 5 | $0.00075 | $0.01251 |
| Sonnet 5 | $0.00030 | $0.00500 |
| Haiku 4.5 | $0.00015 | $0.00250 |
Grade A, and why
disease-analysis 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Disease Analysis (multi-scale, TogoMCP-driven)
Systematic analysis of any disease from molecular defect to clinical symptom,
built from structured queries (not model recall). The driver is the
TogoMCP MCP tools (run_sparql, togoid_convertId, togoid_countId) plus
OLS4 and PubMed.
The full prompt template, output format, and per-disease-category customizations live in references/disease_analysis.md — read it for the deliverable structure. This SKILL.md is the operational path: verified queries, the exact tool calls, and the traps.
Prerequisites
- The TogoMCP MCP server connected to your client (e.g. Claude Desktop,
Claude Code). Its
run_sparql,togoid_*,search_*, andget_MIE_filetools are what drive this skill. - The OLS4 and PubMed MCP tools (used in Phase 1 and Phase 6).
- Network access from those servers to
rdfportal.organdapi.togoid.dbcls.jp.
Warm-up check (confirm connectivity before trusting the workflow)
Before a full analysis, send one Phase-2 query and one TogoID conversion through the MCP tools and confirm both return rows — that proves the SPARQL endpoint and the TogoID API are both reachable and the patterns still resolve:
run_sparql(database="uniprot", sparql_query="""
PREFIX up: <http://purl.uniprot.org/core/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?protein WHERE {
?protein a up:Protein ; up:reviewed 1 ;
up:organism <http://purl.uniprot.org/taxonomy/9606> ;
up:annotation ?annot .
?annot a up:Disease_Annotation ; rdfs:comment ?c .
?c bif:contains "'osteoarthritis'"
} LIMIT 5""")
togoid_convertId(ids="P45452", route="uniprot,pdb") → structures for MMP13
If either returns nothing, that step is broken (endpoint down, schema drift, or
full-text index changed) — diagnose it (re-read the database's MIE via
get_MIE_file) before running the analysis.
Run the analysis (the six phases, with verified tool calls)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 175 lines · 149 tokens per session scan A 1b9471aa54e1
disease-analysis is a skill published in the GitHub repository dbcls/togomcp (13 stars, last pushed yesterday), licensed MIT. It adds 149 tokens to every session and 2,502 once invoked, about $0.0007 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 2026-08-30.
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