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Trialgpt Matching — measured AI agent skill | DecimalAI

Trialgpt Matching

SkillScore86Maintained

trialgpt-matching

Trial shortlist

Databy FreedomIntelligence

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Clinical / Healthcare pack

decimalai skills pull trialgpt-matching

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/trialgpt-matching/SKILL.md

Raw file: /s/trialgpt-matching/SKILL.md ↗ · machine-readable summary at /s/trialgpt-matching.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 7d ago

Yes — +27% lift+4% tokens0% turns86% of whole cases pass with skill (19/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	-3%	0%
case-06	✗→✓	▲ Improved	25%	0%
case-09	✗→✓	▲ Improved	18%	0%
case-19	✗→✓	▲ Improved	-38%	0%
case-21	✗→✓	▲ Improved	-46%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/1/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

FreedomIntelligence / OpenClaw-Medical-Skills

skills/trialgpt-matching/SKILL.md

View on GitHub ↗

License MITImported 8/1/2026Version v2

Skill contents

SKILL.md

<!--

COPYRIGHT NOTICE

This file is part of the "Universal Biomedical Skills" project.

Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>

All Rights Reserved.

#

This code is proprietary and confidential.

Unauthorized copying of this file, via any medium is strictly prohibited.

#

Provenance: Authenticated by MD BABU MIA

-->

TrialGPT Matching

Run the locally checked-out TrialGPT pipeline to retrieve, rank, and explain candidate trials for a patient before deeper eligibility review.

Inputs

Patient summary (structured JSON or free text) with condition keywords.
Optional filters: geography, phase, intervention, biomarker.
Up-to-date ClinicalTrials.gov dump or API access.

Outputs

Ranked trial table with NCT ID, title, score, and short justification.
Parsed inclusion/exclusion text ready for downstream eligibility agents.
Missing data checklist (e.g., "ECOG not provided").

Workflow

Setup: cd repo && pip install -r requirements.txt (or reuse env).
Trial retrieval: Run TrialGPT retriever to pull candidate trials for the indication.
Criteria parsing: Convert eligibility blocks to structured criteria JSON.
Patient profiling: Summarize patient facts (labs, prior therapies, biomarkers).
Ranking: Execute TrialGPT ranking script to score each trial and emit explanations.
Handoff: Export ranked list + structured criteria for trial-eligibility-agent.

Guardrails

Refresh ClinicalTrials.gov metadata regularly to avoid stale trials.
Label scores as AI-generated suggestions pending clinician validation.
Retain prompt/config metadata for audit trails.

References

Detailed usage instructions and repo layout live in README.md.
Coordinate with Skills/Clinical/Trial_Eligibility_Agent for criterion-level review.

Want to see if trialgpt-matching would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.