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clinical-trial-landscape

Search ClinicalTrials.gov for a bounded trial landscape or review the posted tabular results of one exact NCT record.

Skill by phenixace

IndexedMIT★ 2
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/phenixace-clinical-trial-landscape

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Search ClinicalTrials.gov for a bounded trial landscape or review the posted tabular results of one exact NCT record. Use preview for focused discovery, preflight for exact result availability, and researcher-approved workflows for durable outputs.

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/clinical-trial-landscape

What's inside

Skill name
clinical-trial-landscape
Description
Search ClinicalTrials.gov for a bounded trial landscape or review the posted tabular results of one exact NCT record. Use preview for focused discovery, preflight for exact result availability, and researcher-approved workflows for durable outputs.
License
MIT
Instructions
15 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (4)

  • SKILL.md
  • openai.yaml · agents/
  • handler.py · scripts/
  • skill.json

SKILL.md (first lines)

# Clinical Trial Landscape

Translate non-English disease and intervention concepts into precise search terms while preserving drug names, gene symbols, and requested status scope.

Use `clinical_trials_preview` for a focused answer using no more than ten records. Cite NCT IDs and returned ClinicalTrials.gov links for material registry claims. Keep recruitment status, study design, registered endpoints, posted results, and linked publications distinct.

Use `clinical_trials_collect` only through a researcher-approved workflow when the user needs a durable landscape. Preserve the exact condition, intervention, status and study filters, source order, NCT IDs, retrieval time, manifest, and output paths.

Use `clinical_trial_results_preflight` when the user gives an exact NCT ID and asks about posted results, outcome values, statistical analyses, participant flow, baseline, or adverse events. It verifies that tabular results exist and exposes only study identity and bounded counts before approval.

Use `clinical_trial_results_review` only through the researcher-approved exact-results workflow. Preserve source order, group mappings, units, denominators, time frames, submitted p-values and confidence intervals, adverse-event group totals, protocol and SAP documents, linked publications, retrieval time, manifest, and output paths. Do not generate a custom treatment-effect, safety, certainty, or study-quality score.

A registry entry is not evidence that an intervention is effective or safe. Registered outcomes are not measured results, overall status may differ from individual site status, and missing results must not be interpreted as study failure. Posted tables are sponsor- or investigator-submitted summaries, not independent validation. Review the live record, group definitions, analysis population, protocol, analysis plan, publications, and relevant regulatory sources before drawing translational conclusions.

From phenixace/Molemo_WorkBench, MIT.

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    From GitHub (fetched Oct 24, 2026).

    Details

    License
    MIT
    First seen
    Oct 24, 2026
    Last checked
    Oct 24, 2026

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    Cite this page

    clinical-trial-landscape skill. Agent Mart. https://agentmart.dev/skills/phenixace-clinical-trial-landscape (last updated 2026-10-24)