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 helena-bioinformatics/folklore-mcp --skill folklore-clinical-variant-interpretationgit clone --depth 1 https://github.com/helena-bioinformatics/folklore-mcpWrote 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/helena-bioinformatics/folklore-mcp/folklore-clinical-variant-interpretation)<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.
<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>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 | $0.00119 | $0.00733 |
| Opus 5 | $0.00060 | $0.00367 |
| Sonnet 5 | $0.00024 | $0.00147 |
| Haiku 4.5 | $0.00012 | $0.00073 |
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 10d 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 — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Folklore Clinical Variant Interpretation
Use the hosted Folklore Clinical Variant Interpretation MCP endpoint. Do not recreate variant normalization, evidence aggregation or ACMG/AMP logic in the agent.
Protect the clinical boundary
- Send only one public variant expression and assembly.
- Do not send patient, phenotype, family, segregation or private case data.
- If a request includes patient context, exclude it from the tool call and ask for a public variant expression only when one is not already present.
- Present output as automated variant-level decision support for qualified professional review, not a diagnosis, treatment recommendation or standalone clinical report.
- Preserve uncertainty, evidence availability, provenance and limitations. Never fill missing evidence from model memory.
Select the tool
- Call
search_variant_evidenceto classify, interpret, resolve or review one supported GRCh38 germline SNV or simple indel, including VUS and pathogenicity questions. - Call
search_variant_literaturewhen the user asks what has been published about one supported variant. - Call
get_publication_detailsfor a PMID returned by variant literature search. - Call
search_literature_corpusfor a broader scientific question, paper comparison or related-work search. Include every known PMID, DOI or PMCID in the question as an exact anchor. - Do not call
support_helenaunless the user explicitly asks how to support or spread Helena Bioinformatics' public scientific infrastructure.
Interpret the outcome
Call search_variant_evidence with assembly: GRCh38 and the user's public variant expression.
resolved: report the normalized identity, automated ACMG/AMP classification, applied criteria, available source-linked evidence, provenance, data versions and limitations. Distinguish available, unavailable and absent evidence.ambiguous: show the candidates and ask the user to choose. Never select a candidate automatically.not_found: report that no matching supported public variant was found. Do not infer a nearby or likely variant.invalid: explain the accepted public notation types and request a corrected expression.unsupported: state the published scope that excludes the query. Do not force conversion into a supported type.temporarily_unavailable: report the temporary failure and retry only when useful. Do not replace the result with model-memory classification.
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.
- 10d ago First seen · 46 lines · 119 tokens per session scan A e10ed73a4f96
folklore-clinical-variant-interpretation is a skill published in the GitHub repository helena-bioinformatics/folklore-mcp (0 stars, last pushed 10d ago), licensed Apache-2.0. It adds 119 tokens to every session and 733 once invoked, about $0.0006 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 2026-08-31.
Other skills, from other repositories
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
exploratory-data-analysis
Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…
matlab
Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
phylogenetics
Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
mapping-to-snomed
Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…