100/100 (Very Low)

OpenClaw： benign
VirusTotal： benign
StaticScan： clean

OpenClaw： benign

This is an instruction-only skill that coherently provides stepwise planning for non‑tumor bioinformatics + ML studies and does not request unrelated credentials, installs, or system access.

VirusTotal： benign VT 报告

静态扫描： clean

No suspicious patterns detected.

README 未提供

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        "_id": "k97b01cjh46314x7gxxv3hpytd82vnej",
        "changelog": "Initial release of non-tumor-ml-research-planner.\n\n- Generates structured, publication-style ML bioinformatics study designs for non-cancer diseases.\n- Supports diagnostic models, biomarker discovery, mechanism analysis, and multi-tier workload planning (Lite\/Standard\/Advanced\/Publication+).\n- Handles studies involving public datasets (especially GEO), multiple mechanisms (pyroptosis, ferroptosis, etc.), and custom model\/validation demands.\n- Provides detailed, modular output: research question, step-by-step workflow, validation\/robustness, deliverables, risks, and evidence layering.\n- Built-in input validation ensures applicability only to non-tumor projects; includes dataset search guidance if input data is uncertain.",
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        "createdAt": 1773403427592,
        "version": "0.1.0"
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        "displayName": "AIpoch",
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        "createdAt": 1773403427592,
        "displayName": "Non Tumor Ml Research Planner",
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        "slug": "non-tumor-ml-research-planner",
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        "summary": "Generates structured research designs for non-tumor biomedical machine learning studies, focusing on diagnostic models, biomarker discovery, and mechanism an...",
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            "latest": "k97b01cjh46314x7gxxv3hpytd82vnej"
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