folklore-clinical-variant-interpretation

folklore-clinical-variant-interpretation is a skill for Codex from helena-bioinformatics/folklore-mcp. It costs 82 tokens per session (766 once invoked), scanned A, original, Apache-2.0.

A coding-agent skill for interpreting one public germline genetic variant under ACMG/AMP guidelines. ACMG/AMP is a framework used by genetics professionals to assess evidence about whether a variant may affect health.

In plain words
What is it for?
Use it to investigate variant classifications, VUS results, pathogenicity questions, HGVS or SPDI notation, rsIDs, genomic coordinates, and papers about a supported GRCh38 variant.
Why use it?
It provides a structured evidence review instead of guessing from memory, while preserving uncertainty and keeping patient information out of the request. The result is decision support, not a diagnosis or treatment recommendation.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to investigate variant classifications, VUS results, pathogenicity questions, HGVS or SPDI notation, rsIDs, genomic coordinates, and papers about a supported GRCh38 variant.

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Install with agentmods
npx agentmods add skills/helena-bioinformatics/folklore-mcp/folklore-clinical-variant-interpretation
Install

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.

Any agent
npx skills add helena-bioinformatics/folklore-mcp --skill folklore-clinical-variant-interpretation
Clone the repo
git clone --depth 1 https://github.com/helena-bioinformatics/folklore-mcp

Made for: Codex.

Wrote 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.

agentmods badge for folklore-clinical-variant-interpretation

README.md
[![agentmods](https://agentmods.dev/badge/skills/helena-bioinformatics/folklore-mcp/folklore-clinical-variant-interpretation/github.svg)](https://agentmods.dev/skills/helena-bioinformatics/folklore-mcp/folklore-clinical-variant-interpretation)
Your own site
<a href="https://agentmods.dev/skills/helena-bioinformatics/folklore-mcp/folklore-clinical-variant-interpretation"><img src="https://agentmods.dev/badge/skills/helena-bioinformatics/folklore-mcp/folklore-clinical-variant-interpretation/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.

agentmods 80×15 button for folklore-clinical-variant-interpretation

Your own site · 80×15
<a href="https://agentmods.dev/skills/helena-bioinformatics/folklore-mcp/folklore-clinical-variant-interpretation"><img src="https://agentmods.dev/badge/skills/helena-bioinformatics/folklore-mcp/folklore-clinical-variant-interpretation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 766 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00082 $0.00766
Opus 5.5 $0.00033 $0.00306
Sonnet 5.5 $0.00016 $0.00153
Haiku 4.5 $0.00008 $0.00077

Measured 6d ago against content hash e52f782ca366, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

folklore-clinical-variant-interpretation 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 6d 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.

skills/folklore-clinical-variant-interpretation/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Folklore variant classification and assessment

Use the hosted MCP at https://api.helena.bio/folklore/v1/mcp. Access is anonymous. Scientific operations run on the Folklore authorities.

Choose the operation

  • classify_germline_variant: resolve, classify and assess one public GRCh38 nuclear germline SNV or simple indel smaller than 50 bp.
  • search_variant_literature: retrieve publications linked to one resolved variant.
  • get_publication_details: read a PMID record and abstract.
  • search_literature_corpus: retrieve publications for a scientific question, retaining known PMID, DOI or PMCID anchors.
  • get_gene_disease_associations: read ClinGen assertions for an exact gene symbol or HGNC identifier.
  • search_disease_genes: find ClinGen assertions by disease name or exact MONDO identifier.
  • resolve_gene: select a public HGNC identity from a symbol, alias or stable identifier.
  • get_gene_profile, get_gene_section, search_gene_literature: use the selected gene and returned snapshot, preserving section/cursor bindings.
  • support_helena: retrieve support links when requested by the user.

Variant call

{"name":"classify_germline_variant","arguments":{"assembly":"GRCh38","query":"NM_007294.4:c.68_69del"}}

The arguments contain assembly and one public variant expression. Preserve transcript versions, reference alleles and any complete report-row assertions.

Read transport, JSON-RPC, MCP and adapter errors first. Then branch on the structured result status:

Status Action
resolved Verify identity and interpretation status. On success, report automated class, reported criteria, annotation, evidence and provenance. On unavailable, report the typed interpretation error.
ambiguous Present the returned candidates for an explicit selection.
not_found Report the supported-public-variant miss.
invalid_request Request a corrected supported expression.
unsupported State the supported assembly and variant types.
resolution_unavailable Inspect the temporary error and retry policy.

Read the full file on GitHub · 66 lines

Files

What ships with it

3 files 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.

Changes

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.

  1. 6d ago Changed · -14 lines · -35 tokens per session e52f782ca366
  2. 1mo ago Changed · +34 lines · -2 tokens per session 1f9d608dbfb7
  3. 2mo ago First seen · 46 lines · 119 tokens per session scan A e10ed73a4f96

Subscribe to this mod's changes

folklore-clinical-variant-interpretation is a skill published in the GitHub repository helena-bioinformatics/folklore-mcp (1 stars, last pushed today), licensed Apache-2.0. It adds 82 tokens to every session and 766 once invoked, about $0.0003 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 2026-08-31.

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