Ready to supercharge your AI agents?

Install any skill in seconds. Free to start, no credit card required.

Get Started Free →

Biomedical Data Analysis — measured AI agent skill | DecimalAI

Biomedical Data Analysis

NewSkillScoreMaintained

biomedical-data-analysis

Omics data forge

Databy FreedomIntelligence

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

Automatic

Data Analyst pack

decimalai skills pull biomedical-data-analysis

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/biomedical-data-analysis/SKILL.md

Raw file: /s/biomedical-data-analysis/SKILL.md ↗ · machine-readable summary at /s/biomedical-data-analysis.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

—+4% tokens0% turns73% of whole cases pass with skill (16/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-08	✗→✓	▲ Improved	20%	0%
case-04	✗→✓	▲ Improved	-13%	0%
case-10	✓→✗	▼ Worse	14%	0%
case-01	✓→✗	▼ Worse	63%	0%
case-16	✓→✗	▼ Worse	11%	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/biomedical-data-analysis/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

-->

Biomedical Data Analysis

Run the cross-language data analysis workflows (Python, R, SQL, Tableau/Power BI) described in this module to clean, analyze, and visualize biomedical datasets end-to-end.

Workflow

Scope request: Identify analysis_type (exploratory, statistical, predictive, visualization) and required language/tooling.
Acquire data: Load from CSV/Parquet/SQL using pandas, tidyverse, or connectors described in README.md.
Process: Apply wrangling, descriptive stats, modeling, or SQL aggregations as listed in the capability tables.
Visualize: Choose Matplotlib/Seaborn/Plotly for inline plots or emit Tableau/Power BI specs per need.
Document: Provide code snippets + outputs, noting package versions and any assumptions.

Guardrails

Use reproducible scripts or notebooks—avoid manual spreadsheet edits.
Keep PHI secure; when touching EHR-level SQL list filters minimizing data exposure.
Clearly separate exploratory findings from validated statistical conclusions.

References

Capability tables, code samples, and parameter definitions live in README.md (plus tutorials/README.md for step-by-step lessons).

Want to see if biomedical-data-analysis 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.