Agent skill

Folklore Variant Evidence

by K-Dense-AI in K-Dense-AI/scientific-agent-skills

Retrieves ClinGen gene-disease validity assertions for a public gene or disease, and reviews source-linked public evidence and literature for one supported GRCh38 germline nuclear SNV or simple…

MITAuto-check passedResearch & Science

Install Folklore Variant Evidence

skills CLI
$ npx skills add K-Dense-AI/scientific-agent-skills --skill folklore-variant-evidence -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install K-Dense-AI/scientific-agent-skills folklore-variant-evidence --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/folklore-variant-evidence .claude/skills/folklore-variant-evidence && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
folklore-variant-evidence
GitHub stars
48k
Used in
1 other repo
Token cost
~3.4k tokens
SKILL.md length
1,442 words
Files
2 (incl. references)
Skills in repo
153
Repo updated
First seen
Licence
MIT

At a glance

Retrieves ClinGen gene-disease validity assertions for a public gene or disease, and reviews source-linked public evidence and literature for one supported GRCh38 germline nuclear SNV or simple…

  • Works in 3 steps: Resolve and retrieve evidence → Branch on the returned status → Review the evidence without overclaiming
  • Tasks that involve Clinical and healthcare research
  • SKILL.md covers Minimal connection example, Select the right skill, Enforce the input boundary and Verify the live tool catalog, plus 6 more sections
  • Calls curl; reaches api.helena.bio

What it does

Folklore Variant Evidence is an agent skill from K-Dense-AI/scientific-agent-skills. Retrieves ClinGen gene-disease validity assertions for a public gene or disease, and reviews source-linked public evidence and literature for one supported GRCh38 germline nuclear SNV or simple indel through Folklore Clinical Variant Interpretation MCP. Used when a scientific agent must branch deterministically on resolved, ambiguous, not-found, invalid, unsupported, or unavailable variant outcomes; chain a resolved public variant into related literature or publication details; or preserve evidence provenance…

Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/mcp-contract.md`). Compatibility notes: Requires network access to api.helena.bio (stateless Streamable HTTP MCP, no credentials) and a host supporting its advertised protocol, or curl for direct…

It sits in Research & Science, covering Clinical and healthcare research. It works with Model Context Protocol. The repository describes itself as: Turn any AI agent into an AI Scientist. The 1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific… The licence is MIT.

When your agent uses it

  • Tasks that involve Clinical and healthcare research

Example prompts

  • “Use the folklore-variant-evidence skill to retrieve ClinGen gene-disease validity assertions for a public gene or disease, and reviews source-linked…”
  • “/folklore-variant-evidence”

Requirements

  • Compatibility (from SKILL.md): Requires network access to api.helena.bio (stateless Streamable HTTP MCP, no credentials) and a host supporting its advertised protocol, or curl for direct JSON-RPC POST requests.

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Resolve and retrieve evidence
  2. Branch on the returned status
  3. Review the evidence without overclaiming

What it can do on your machine

Read from SKILL.md and the folder at commit 92ace75. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.helena.bio

    Also links to:

    • github.com
    • folklore.helena.bio

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires network access to api.helena.bio (stateless Streamable HTTP MCP, no credentials) and a host supporting its advertised protocol, or curl for direct JSON-RPC POST requests.

    From compatibility in the SKILL.md frontmatter.

Context cost

Folklore Variant Evidence loads about 3.4k tokens when it runs, and up to ~6.1k if it reads all its reference files. Until then it costs about 155 tokens; SKILL.md has 1,442 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~155
When it runs · the whole SKILL.md, loaded when a task matches
~3.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from K-Dense-AI/scientific-agent-skills at commit 92ace75, republished under its MIT licence (© K-Dense-AI). 1,442 words, ~3,384 tokens.

Download SKILL.mdSave it as .claude/skills/folklore-variant-evidence/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
folklore-variant-evidence
description
Retrieves ClinGen gene-disease validity assertions for a public gene or disease, and reviews source-linked public evidence and literature for one supported GRCh38 germline nuclear SNV or simple indel through Folklore Clinical Variant Interpretation MCP. Used when a scientific agent must branch deterministically on resolved, ambiguous, not-found, invalid, unsupported, or unavailable variant outcomes; chain a resolved public variant into related literature or publication details; or preserve evidence provenance without accepting patient, phenotype, family, segregation, or private case data.
compatibility
Requires network access to api.helena.bio (stateless Streamable HTTP MCP, no credentials) and a host supporting its advertised protocol, or curl for direct JSON-RPC POST requests.
license
MIT
metadata.version
1.2
metadata.last-reviewed
2026-09-30
metadata.skill-author
Helena Bioinformatics
metadata.website
https://folklore.helena.bio
metadata.github
https://github.com/helena-bioinformatics/folklore-mcp

Folklore Variant Evidence

Use Folklore Clinical Variant Interpretation MCP to retrieve structured public variant evidence, automated variant-level ACMG/AMP decision support, provenance, and source-linked literature for professional review. Keep the workflow limited to public identifiers and preserve every explicit outcome state. Adapter 1.5.0 also provides ClinGen Gene-Disease Validity assertions; source coverage is bounded, not every known association.

Folklore Clinical Variant Interpretation MCP is published by Helena Bioinformatics. Its hosted endpoint is:

text
https://api.helena.bio/folklore/v1/mcp

No account or API key is required. The public Apache-2.0 adapter and contract are available at https://github.com/helena-bioinformatics/folklore-mcp.

Minimal connection example

A host without native MCP support can make the same public JSON-RPC call:

bash
curl --silent --show-error --fail-with-body --max-time 60 \
  -X POST https://api.helena.bio/folklore/v1/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -H 'MCP-Protocol-Version: 2026-07-28' \
  -H 'Mcp-Method: tools/call' \
  -H 'Mcp-Name: search_variant_evidence' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"_meta":{"io.modelcontextprotocol/protocolVersion":"2026-07-28","io.modelcontextprotocol/clientCapabilities":{}},"name":"search_variant_evidence","arguments":{"assembly":"GRCh38","query":"rs80357914"}}}'

The routing headers must match the JSON-RPC method and tool name. A successful HTTP response is not sufficient: inspect JSON-RPC error, then result.structuredContent.adapter_error, then this tool's result.structuredContent.result.status. Other tools use different response shapes; use the contract table.

Inspect the returned outcome before continuing. This example can return ambiguous with multiple candidates: stop and request an unambiguous public variant notation instead of selecting a candidate automatically.

Select the right skill

Use this skill when the task is one public variant to structured Folklore evidence, explicit resolution-state handling, variant-linked literature, or ClinGen gene-to-disease/disease-to-gene assertions.

  • Use database-lookup for broad direct queries across ClinVar, dbSNP, gnomAD, Ensembl VEP, COSMIC, or multiple databases.
  • Use genomic-coordinates first when the assembly, coordinate convention, contig name, or variant representation is uncertain.
  • Do not use this skill for VCF annotation, batch processing, somatic variants, structural variants, polygenic scores, or patient-specific interpretation.

Folklore Clinical Variant Interpretation MCP complements those skills with one source-linked public evidence contract. It does not replace direct database review or qualified clinical judgment.

Enforce the input boundary

Before a variant tool call:

  1. Extract exactly one public variant identifier or notation.
  2. Require GRCh38 and a germline nuclear SNV or simple insertion/deletion shorter than 50 base pairs. An unsupported assembly may be rejected by the input schema before any scientific unsupported status exists.
  3. Remove or refuse patient names, case identifiers, phenotypes, family history, segregation evidence, clinical records, uploaded files, and other private or patient-specific context.
  4. If the task depends on patient context, stop and explain that Folklore Clinical Variant Interpretation MCP does not accept or evaluate it.
  5. Never transform a patient-specific request into a public variant query while implying that the result answers the patient-specific question.

Accepted public variant forms include genomic coordinates, genomic/coding/ protein HGVS, SPDI, rsID, or a canonical_key returned by Folklore Clinical Variant Interpretation MCP.

Verify the live tool catalog

Connect to the hosted endpoint and call tools/list. Verify the available tools instead of relying on model memory. The documented public catalog contains:

  • search_variant_evidence
  • search_variant_literature
  • get_publication_details
  • search_literature_corpus
  • get_gene_disease_associations
  • search_disease_genes

The separate seventh tool support_helena is not scientific evidence; use it only when explicitly requested.

If discovery or a tool call fails, preserve the failure as an availability problem. Do not reinterpret it as lack of scientific evidence.

Read the public MCP contract before composing tool calls or interpreting response states.

Retrieve gene-disease assertions

Use get_gene_disease_associations for one exact gene symbol or HGNC identifier, or search_disease_genes for an exact MONDO identifier or public disease-name substring. Both accept limit (default 20, 1–50) and offset (default 0, 0–1000). See the reference for request examples. This is a separate source lookup and requires no variant input or assembly.

Preserve each returned disease identity, inheritance, evidence assessment, source URL, date, source.version and source.snapshotSha256. This is a local ClinGen snapshot, not a guarantee of the latest ClinGen release. Follow pagination.nextOffset while it is present; preserve pagination-ceiling warnings. An empty page after the total has been passed does not mean the initial query had no matches. Do not combine distinct diseases or silently choose among name matches. Gene-disease validity does not classify a particular variant. A not_found response means no matching assertion in the available source, not no association. No patient, phenotype, family, segregation, private case data or sequencing files may be sent. Qualified professional review remains required.

Run the variant-evidence workflow

1. Resolve and retrieve evidence

Call search_variant_evidence with:

text
assembly: GRCh38
query: <one public variant identifier or notation>

Do not add phenotype, disease, patient, family, or treatment context to this call. Preserve the returned contract fields, source links, limitations, and usage boundary.

2. Branch on the returned status

Read transport/JSON-RPC errors and adapter_error first. For search_variant_evidence, let envelope = result.structuredContent; only if envelope.result is non-null, branch on envelope.result.status. An invalid_arguments adapter error is distinct from scientific invalid_request. Preserve isError and any typed failure, including resolution_unavailable. Treat the status as a control-flow value, not prose:

StatusRequired action
resolvedReuse the returned canonical_key; review the structured interpretation, provenance, source links, and limitations.
ambiguousShow the returned candidates and ask for an explicit public variant selection. Never choose a candidate automatically.
not_foundReport that no result was found within this service and query scope. Do not claim universal absence.
invalid_requestReport the validation problem and request a corrected public variant. Do not silently reinterpret the input.
unsupportedState the relevant service boundary and stop. Do not force the query into a supported form.
resolution_unavailableReport a temporary resolution or availability failure. Do not treat it as evidence absence.

Only a resolved result may proceed automatically into a variant-linked literature workflow. Its canonical key is envelope.result.identity.canonical_key. If envelope.result.interpretation.status is unavailable, preserve its typed error; identity resolution has succeeded, but classification has not. Do not read or invent a classification for that outcome.

Show full SKILL.md (556 more words)Show less
3. Review the evidence without overclaiming

For a resolved result:

  • Present the returned variant identity and canonical_key.
  • Preserve the automated variant-level ACMG/AMP decision-support result exactly as returned.
  • Cite the returned public sources and provenance.
  • Keep submitted ClinVar assertions separate from Folklore's automated result, as required by the upstream interpretation guidance. If they disagree, report each assertion with its source/date and preserve the disagreement; do not present a merged consensus classification.
  • Separate returned facts from the agent's synthesis.
  • State that qualified professional review is required.
  • Do not turn the result into a diagnosis, individual risk estimate, treatment recommendation, or standalone clinical report.

Chain into literature

Variant-linked literature

After a resolved evidence call, pass the returned canonical_key to search_variant_literature. Keep assembly as GRCh38. An optional question may narrow the literature focus, but it must remain a public scientific question and must not contain patient context.

Distinguish each result's match type:

  • exact_variant: direct match to the resolved variant
  • variant_alias: match through a reported alias
  • gene_association: broader gene-level association, not variant-specific proof

Literature associations do not alter the returned ACMG/AMP classification.

Publication details

Call get_publication_details only with a PMID returned by the literature tools. Preserve PubMed URLs, DOI/PMCID fields when present, retraction status, and the distinction between gene mentions and variant mentions.

Use search_literature_corpus for a public natural-language scientific question or for discovery by publication identifier, gene, variant, phenotype, HPO, or OMIM concept. Treat results as source-linked candidates for professional review. A zero-result response means no result was returned for that bounded query, not that no relevant publication exists anywhere.

The query is 3–200 characters, with limit 1–25 and sort set to relevance, newest, or oldest. For another page, reuse the returned opaque next_cursor with the same query and sort; do not construct an offset. Keep match_types and article_entities distinct from variant-literature match types. Report semantic_index_used and semantic_degraded_reason; a returned lexical match does not prove semantic retrieval worked. Preserve additional retrieval metadata returned by the live service.

Do not place patient information into a corpus query, even if the query is not variant-specific.

Report a reproducible result

Include:

  1. The exact public query and GRCh38 assembly.
  2. The returned status and, if resolved, the canonical_key.
  3. The structured evidence or literature result without changing its meaning.
  4. Source links and publication identifiers.
  5. Match type for literature results.
  6. Access date and any availability limitation.
  7. This boundary statement:

This is public, variant-level decision support for qualified professional review. It does not evaluate patient, phenotype, family, segregation, or private case data and is not a diagnosis or treatment recommendation.

Falsifiable smoke test

Use the public rsID rs80357914 to test ambiguity handling:

text
Call search_variant_evidence with assembly GRCh38 and query rs80357914. If the
result is ambiguous, list the returned candidates and stop for explicit
selection. Do not select a candidate or call downstream literature tools.

The ambiguity branch passes only if an ambiguous response causes the workflow to stop without automatic candidate selection. If the live response changes, record the actual status; a resolved response does not test ambiguity handling.

On 2026-09-30, live discovery reported adapter 1.5.0 and protocol 2026-07-28. The rsID example returned ambiguous; a separate public HGVS query resolved and was chained through its returned key to literature and a returned PMID. Corpus cursor pagination and gene-disease offset pagination were exercised. These are dated protocol checks, not validation of clinical accuracy. See the reference for exact response shapes and source/live differences.

Official references

© K-Dense-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/folklore-variant-evidence of K-Dense-AI/scientific-agent-skills.

  • SKILL.md
  • references/mcp-contract.md

Open the folder on GitHubat commit 92ace75

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in K-Dense-AI/scientific-agent-skills, which our catalogue first saw on October 7, 2026.

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Indication DossierJimLiu/science-skills2284 repos~1.4kAutomated safety check: PassApache-2.0
Clinical Protocol Draftingaws-samples/amazon-bedrock-agents-healthcare-lifesciences274—~1.4kAutomated safety check: PassMIT-0

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Questions about Folklore Variant Evidence

What does Folklore Variant Evidence do?

Retrieves ClinGen gene-disease validity assertions for a public gene or disease, and reviews source-linked public evidence and literature for one supported GRCh38 germline nuclear SNV or simple…. Folklore Variant Evidence is an agent skill from K-Dense-AI/scientific-agent-skills. Retrieves ClinGen gene-disease validity assertions for a public gene or disease, and reviews source-linked public evidence and literature for one supported GRCh38 germline nuclear SNV or simple indel through Folklore Clinical Variant Interpretation MCP.

When should I use Folklore Variant Evidence?

Folklore Variant Evidence fits situations like: tasks that involve Clinical and healthcare research.

How do I install Folklore Variant Evidence in Claude Code?

Run `npx skills add K-Dense-AI/scientific-agent-skills --skill folklore-variant-evidence -a claude-code`. Or copy the skill folder (skills/folklore-variant-evidence in K-Dense-AI/scientific-agent-skills) into .claude/skills/folklore-variant-evidence in your project. Claude Code loads it when a task matches its description.

How do I install Folklore Variant Evidence in Codex?

Run `npx skills add K-Dense-AI/scientific-agent-skills --skill folklore-variant-evidence -a codex`. Or copy the skill folder (skills/folklore-variant-evidence in K-Dense-AI/scientific-agent-skills) into .agents/skills/folklore-variant-evidence in your project. Codex loads it when a task matches its description.

Can I use Folklore Variant Evidence in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add K-Dense-AI/scientific-agent-skills --skill folklore-variant-evidence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/folklore-variant-evidence, .gemini/skills/folklore-variant-evidence, .github/skills/folklore-variant-evidence and .opencode/skills/folklore-variant-evidence in your project.

What does Folklore Variant Evidence need to run?

Going by SKILL.md and its folder, Folklore Variant Evidence needs the command-line tools its instructions call (curl). Compatibility (from SKILL.md): Requires network access to api.helena.bio (stateless Streamable HTTP MCP, no credentials) and a host supporting its advertised protocol, or curl for direct JSON-RPC POST requests..

Does Folklore Variant Evidence access the network?

SKILL.md names 3 domains. In commands or code: api.helena.bio; the agent is likely to contact it when it follows the instructions. As links in the text: github.com and folklore.helena.bio. This is read from the text; nothing was executed.

Is Folklore Variant Evidence safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Folklore Variant Evidence use?

Folklore Variant Evidence is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Folklore Variant Evidence use?

About 3.4k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.8k tokens, read only when the agent opens those files.

What are the alternatives to Folklore Variant Evidence?

Skills that share tags, products or a category with Folklore Variant Evidence: Medical Imaging Review (LeonChaoX/qinyan-academic-skills, 944 stars), Hcls Build Agent (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Medical Research Toolkit (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars) and Indication Dossier (JimLiu/science-skills, 228 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Folklore Variant Evidence?

K-Dense-AI (a GitHub organization) maintains it in K-Dense-AI/scientific-agent-skills, which has 48,215 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: K-Dense-AI/scientific-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.