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 exon-research/genomi --skill pharmacogenomicsgit clone --depth 1 https://github.com/exon-research/genomiWrote 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/exon-research/genomi/pharmacogenomics)<a href="https://agentmods.dev/skills/exon-research/genomi/pharmacogenomics"><img src="https://agentmods.dev/badge/skills/exon-research/genomi/pharmacogenomics/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/exon-research/genomi/pharmacogenomics"><img src="https://agentmods.dev/badge/skills/exon-research/genomi/pharmacogenomics.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 | $0.00054 | $0.02627 |
| Opus 5 | $0.00027 | $0.01314 |
| Sonnet 5 | $0.00011 | $0.00525 |
| Haiku 4.5 | $0.00005 | $0.00263 |
Grade A, and why
pharmacogenomics 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 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.
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 — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pharmacogenomics
Use this skill when the user asks about medication response, PGx guidelines, drug-gene or variant-drug evidence, PGxDB, ATC codes, DrugBank IDs, PharmCAT, or pharmacogene sample evidence.
Contract
- Drug-response claims use public PGx source evidence.
- Personal drug-response statements cite separate local genotype or PGx caller support.
- External PGx lookups receive selected public targets only.
- Source-backed PGx findings can be stored as shared reviewed research.
- User-specific sample interpretations can be stored as private reviewed research.
Convention: See
skills/conventions/evidence-quality.md. Convention: Seeskills/_output-rules.md.
Primary Flow
- Use
pharmacogenomics.review_medicationfor ordinary medication questions. It combines ClinPGx, FDA PGx tables, PGxDB, stored reviewed research, and optional selected sample evidence in one bounded review. - Inspect
evidence_envelope,medication_review_matrix,evidence_matrix,target_inventory,answer_support, andunanswered_answer_componentsbefore answering. Treat eachmedication_review_matrix.rows[]entry as the review unit. - If the answer needs source review beyond returned public records, use
research.list_sources, review the selected public target, then store the finding withresearch.record. - If the answer needs personal sample evidence, use the Active Genome Index
only when selected or supplied in this chat. Confirm relevant alleles with
variant.resolveoractive_genome_index.classify_genotype_support.
Tool Choices
pharmacogenomics.review_medication: bounded medication evidence review; public-only by default, with Active Genome Index evidence when selected.pharmacogenomics.fetch_clinpgx,pharmacogenomics.fetch_fda_labels, andpharmacogenomics.fetch_pgxdb: focused public PGx source retrieval when the medication review needs a source-specific follow-up.pharmacogenomics.describe_gene_requirements: gene-specific sample evidence requirements for named allele matching, outside calls, HLA, MT-RNR1, G6PD, and SV/CNV-sensitive genes.pharmacogenomics.check_pharmcat: check local PharmCAT availability.pharmacogenomics.preflight_pharmcat: inspect whether the selected Active Genome Index can provide a suitable PharmCAT input before running it.pharmacogenomics.prepare_outside_call_tsvandpharmacogenomics.validate_outside_call_tsv: prepare or validate specialized outside-call evidence for PharmCAT.pharmacogenomics.run_pharmcat: run broad PharmCAT calling from the selected Active Genome Index and return provenance plussample_pgx_matrixrows projected from report, phenotype, calls-only, and matcher artifacts.pharmacogenomics.import_pharmcat_artifacts: import existing PharmCAT JSON, TSV, matcher, phenotype, missing-position, or output-directory artifacts and returnsample_pgx_matrix.
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 · 222 lines · 54 tokens per session scan A 2810541581a1
pharmacogenomics is a skill published in the GitHub repository exon-research/genomi (482 stars, last pushed 10d ago), licensed Apache-2.0. It adds 54 tokens to every session and 2,627 once invoked, about $0.0003 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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