{
  "schemaVersion": 1,
  "slug": "ascent",
  "name": "ascent",
  "description": "Run Bayer's ASCENT demo — an MCP server for epidemiological text-to-SQL, medical-code lookup and cohort building over synthetic OMOP CDM and claims-style data — and check its answers against shipped ground truth and the EpiTrap benchmark.",
  "category": "analysis",
  "version": "1.0.0",
  "author": "Heureka Labs",
  "license": "CC-BY-4.0",
  "tags": [
    "epidemiology",
    "cohort",
    "agents",
    "benchmark",
    "omop"
  ],
  "covers": [
    "omop cdm",
    "real-world data",
    "rwd",
    "real-world evidence",
    "ehr",
    "claims",
    "text-to-sql",
    "nl2sql",
    "sql",
    "medical coding",
    "concept sets",
    "phenotype",
    "cohort building",
    "attrition",
    "prevalence",
    "incidence",
    "observational research",
    "pharmacoepidemiology",
    "model context protocol",
    "mcp server",
    "synthetic patients",
    "duckdb",
    "epitrap",
    "ohdsi",
    "vocabulary",
    "snomed",
    "icd-10",
    "cpt"
  ],
  "papers": [
    "doi:10.48550/arXiv.2609.24620",
    "doi:10.48550/arXiv.2502.21107"
  ],
  "updatedAt": "2026-10-21T21:12:13-04:00",
  "source": {
    "repo": "heurekalabsco/heurekaskills",
    "commit": "3ca5c00a134bf070f284dffd5c27330a4d02df34",
    "path": "skills/ascent"
  },
  "checksum": "sha256:49f7400829521d975476763be7f2ef117689cc98da08503bd546caf9101f2a4f",
  "signals": null,
  "files": [
    {
      "path": "SKILL.md",
      "url": "https://heurekaskills.com/ascent/files/SKILL.md",
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}