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 clinvargit 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/clinvar)<a href="https://agentmods.dev/skills/exon-research/genomi/clinvar"><img src="https://agentmods.dev/badge/skills/exon-research/genomi/clinvar/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/clinvar"><img src="https://agentmods.dev/badge/skills/exon-research/genomi/clinvar.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 | $0.00033 | $0.00892 |
| Opus 5.5 | $0.00013 | $0.00357 |
| Sonnet 5.5 | $0.00007 | $0.00178 |
| Haiku 4.5 | $0.00003 | $0.00089 |
Grade A, and why
clinvar 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 1mo 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ClinVar Evidence
Use this skill when the user asks about clinical labels, carrier findings, pathogenic/likely pathogenic entries, VUS, conflicting classifications, drug response, risk-factor labels, or ClinVar-derived discovery.
Goal
Build a candidate landscape from exact ClinVar matches. Use
candidate_inventory as variant-level provenance evidence and
candidate_review_groups as the carrier/condition review inventory.
Convention: See
skills/conventions/evidence-quality.md.
Contract
- ClinVar matches provide exact/static evidence for source-backed interpretation.
- Exact matching requires the optional build-specific library
clinvar-grch38orclinvar-grch37. - Candidate inventories are variant-level evidence, not interpretation.
- Candidate review groups are review targets. A heterozygous P/LP group can be carrier-relevance evidence; it is not a carrier-status conclusion.
clinvar.scan_candidatesreturns an evidence view, grouped support, warnings, and coverage; use those fields rather than inferring priority from prose.- By default,
clinvar.scan_candidatesincludes P/LP, conflicting, VUS, risk/association/protective, drug-response, and benign ClinVar groups. - If ClinVar matches are missing,
clinvar.scan_candidatesmaterializes them from the Active Genome Index before building the candidate inventory. - VUS, conflicts, and low-review assertions are downgraded unless reviewed source evidence supports a stronger claim.
- Drug-response rows use pharmacogenomic source context before actionability is implied.
Cross-Capability Synthesis
A scope-limited result from this capability is not a final user-facing answer when other Genomi capabilities can contribute orthogonal evidence to the same question. Returning "cannot answer" while applicable capabilities remain unexamined is a host-agent failure mode.
Tools
clinvar.match_variants
Materialize exact ClinVar matches for comparable Active Genome Index variants using the installed build-specific ClinVar library.
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.
- 1mo ago First seen · 96 lines · 33 tokens per session scan A 9cc6239a7bda
clinvar is a skill published in the GitHub repository exon-research/genomi (485 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 892 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
autoresearch
Canonical around-the-clock research loop. Defines the agent's outer loop — read taste corpus + queue, pick the next experiment, mutate the explicitly-declared mutation surface, run the experiment under a hard time budget against a frozen metric, score, codify, repeat. Augmented with Karpathy's sharp primitives (frozen…
experiment
Run a materials-science / ML compute job on Rockie GPU capacity. Trigger words "run experiment", "submit job", "/experiment", or requests to quote/approve GPU spend before an experiment. Picks the right GPU type and count from a natural-language description (DFT for QE/VASP/ABINIT, MD for GROMACS/LAMMPS/OpenMM…
physics
Route physics simulation, modeling, validation, and research-compute requests across force fields, molecular dynamics, electronic structure, particle transport/collision, continuum multiphysics, plasma/PIC, nuclear/radiation, and astro/cosmology. Use open-source-first engines, refuse local heavyweight execution on the…
sota-delta
Track 3 quickstart wrapper that reproduces a paper or repository baseline on Rockie GPU, then extends it with a user-specified delta and compares baseline versus delta.
post-run-review
After an experiment finishes, structured review emits {isbug, failureclass, summary, metric, lowerisbetter}, auto-closes the journal node, emits a [LEARN] block when isbug=true, and files a [DEAD-END] when the failureclass is "bad-hypothesis". Use immediately after any training/eval run — the agent invokes this…
queue-refill
Refill the experiment queue when it drops below target (default 5 pending items). Brainstorms 3–5 new high-quality experiments informed by recent [LEARN] rules, killed dead-ends, best-so-far results, and hypothesis-calibration drift. Use when queue.py refill-needed returns non-zero, when the user asks "what should we…