Borrowing it
Nothing to install: this file belongs to donbr/lifesciences-research. 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/donbr/lifesciences-research/main/.claude/skills/lifesciences-graph-builder/SKILL.mdgit clone --depth 1 https://github.com/donbr/lifesciences-researchWrote 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/donbr/lifesciences-research/lifesciences-graph-builder)<a href="https://agentmods.dev/skills/donbr/lifesciences-research/lifesciences-graph-builder"><img src="https://agentmods.dev/badge/skills/donbr/lifesciences-research/lifesciences-graph-builder/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/donbr/lifesciences-research/lifesciences-graph-builder"><img src="https://agentmods.dev/badge/skills/donbr/lifesciences-research/lifesciences-graph-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 3 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 71 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00104 | $0.02397 |
| Opus 5 | $0.00052 | $0.01198 |
| Sonnet 5 | $0.00021 | $0.00479 |
| Haiku 4.5 | $0.00010 | $0.00240 |
Grade A, and why
lifesciences-graph-builder 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 11d 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.
description: "Orchestrates life sciences APIs to build knowledge graphs using the Fuzzy-to-Fact protocol, combining MCPs for nodes and curl for edges, then persisting to Graphiti. This skill should be used when the user How it starts
The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Life Sciences Graph Builder
Orchestrate multi-API graph construction using the Fuzzy-to-Fact protocol.
Architecture
┌─────────────────────────────────────────────────────────────────────────┐
│ GRAPH CONSTRUCTION KIT │
├─────────────────────────────────────────────────────────────────────────┤
│ TIER 1: MCP TOOLS (Verified Nodes) │
│ ├── HGNC: search_genes, get_gene │
│ ├── UniProt: search_proteins, get_protein │
│ ├── ChEMBL: search_compounds, get_compound │
│ ├── STRING: search_proteins, get_interactions │
│ ├── Open Targets: search_targets, get_associations │
│ └── WikiPathways: get_pathways_for_gene, get_pathway_components │
├─────────────────────────────────────────────────────────────────────────┤
│ TIER 2: CURL COMMANDS (Relationship Edges) │
│ ├── ChEMBL /mechanism: Drug → Target │
│ ├── ChEMBL /drug_indication: Drug → Disease │
│ ├── ChEMBL /activity: Drug → Target (with Ki/IC50) │
│ ├── Ensembl /homology: Gene → Orthologs │
│ ├── STRING /enrichment: Protein Set → GO/KEGG terms │
│ └── NCBI elink: Gene → PubMed │
├─────────────────────────────────────────────────────────────────────────┤
│ TIER 3: GRAPHITI (Persistence) │
│ └── add_memory: Persist validated subgraph as JSON episode │
└─────────────────────────────────────────────────────────────────────────┘
Workflow: Fuzzy-to-Fact Protocol
Phase 1: Anchor Node (Naming)
Resolve fuzzy user input to canonical identifier.
# MCP: HGNC
result = hgnc.search_genes("p53")
gene = hgnc.get_gene("HGNC:11998") # → cross_references: UniProt, Ensembl, Entrez
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.
- 11d ago First seen · 210 lines · 104 tokens per session scan A 7fac9f14c240
lifesciences-graph-builder is a skill published in the GitHub repository donbr/lifesciences-research (7 stars, last pushed 8d ago), licensed MIT. It adds 104 tokens to every session and 2,397 once invoked, about $0.0005 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 2026-08-31.
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