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在 OpenClaw 中安装
/install unstructured-medical-text-miner
功能描述
Mine unstructured clinical text from MIMIC-IV to extract diagnostic logic.
安全使用建议
This skill appears coherent for local analysis of MIMIC‑IV notes. Before installing/running: (1) confirm you have lawful access to MIMIC‑IV and follow your institution's PHI handling rules; (2) review scripts/main.py and any export functions to ensure outputs are written to secure locations and not transmitted externally; (3) install recommended Python packages and the required spaCy/scispaCy models in an isolated environment (virtualenv or container) and be prepared for large model downloads; (4) test on synthetic or fully deidentified data first; (5) if you need to run in a shared environment, restrict file permissions and logs so patient data cannot leak. If you want, I can list specific lines in scripts/main.py that write files or otherwise persist output so you can inspect them more closely.
功能分析
Type: OpenClaw Skill
Name: unstructured-medical-text-miner
Version: 1.0.0
The skill bundle is a legitimate medical text mining tool designed to extract clinical insights from the MIMIC-IV dataset. The code in scripts/main.py uses standard NLP libraries (spaCy, scispacy) and regular expressions for entity recognition and relationship extraction, with no evidence of network activity, shell execution, or unauthorized data exfiltration. The instructions in SKILL.md are strictly aligned with the stated purpose and do not contain any prompt-injection attempts to hijack the agent's behavior.
能力评估
Purpose & Capability
Name/description match the included code and SKILL.md. The package contains Python scripts that implement regex- and spaCy-based entity/relation extraction and timeline logic consistent with extracting diagnostic logic from MIMIC‑IV text. Declared NLP dependencies (spacy, scispacy, negspacy, pandas, etc.) are proportionate to the task.
Instruction Scope
SKILL.md instructs local execution of scripts (python -m py_compile, python scripts/main.py) and to provide MIMIC‑IV note files; it does not instruct reading unrelated system files or contacting external endpoints. Caution: the skill expects you to edit/configure parameters (in-file CONFIG) and will read/process sensitive clinical text. Review export/save logic (e.g., export_to_json) to ensure no unintended disclosure.
Install Mechanism
There is no automated install spec; the repo includes requirements.txt listing standard Python/NLP packages. No arbitrary remote download URLs or archive extraction were found. Note that scispacy/spacy models (e.g., en_core_sci_lg) may require additional model downloads and substantial disk/IO/network when installed.
Credentials
The skill requests no environment variables, credentials, or config paths. This is proportionate for a local data‑processing NLP tool. Important: although it doesn't request secrets, it is designed to process highly sensitive MIMIC‑IV data (PHI), so data governance and access controls are required before use.
Persistence & Privilege
always is false and there is no indication the skill modifies other skills or system-wide agent settings. The default ability for an agent to invoke skills autonomously is present but not combined with other concerning flags.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install unstructured-medical-text-miner - 安装完成后，直接呼叫该 Skill 的名称或使用
/unstructured-medical-text-miner触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Unstructured Medical Text Miner 1.0.0 – Initial Release
- Provides a toolchain for mining unstructured clinical text from MIMIC-IV.
- Extracts diagnostic logic, clinical entities, relationships, timelines, and treatment reasoning from notes.
- Supports FHIR-compatible, knowledge graph, and temporal output formats.
- Includes negation detection and structured error handling/fallback paths.
- Command-line and Python API usage examples provided for easy integration.
元数据
常见问题
Unstructured Medical Text Miner 是什么？
Mine unstructured clinical text from MIMIC-IV to extract diagnostic logic. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 152 次。
如何安装 Unstructured Medical Text Miner？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install unstructured-medical-text-miner」即可一键安装，无需额外配置。
Unstructured Medical Text Miner 是免费的吗？
是的，Unstructured Medical Text Miner 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Unstructured Medical Text Miner 支持哪些平台？
Unstructured Medical Text Miner 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Unstructured Medical Text Miner？
由 AIpoch（@aipoch-ai）开发并维护，当前版本 v1.0.0。
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