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Complete machine learning pipeline for trading: feature engineering, AutoML, deep learning, and financial RL. Use for automated parameter sweeps, feature cre...

开发与 DevOps

作者:Dan Repaci @ahuserious

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v0.1.0

统计:⭐ 0 · 313 · 3 current installs · 3 all-time installs

0

安装量(当前) 3

🛡 VirusTotal :可疑 · OpenClaw :良性

Package:ahuserious/ml-pipeline

安全扫描(ClawHub)

  • VirusTotal :可疑
  • OpenClaw :良性

OpenClaw 评估

The skill's files and runtime instructions are consistent with a trading ML pipeline: no unexpected credentials, no external download/install steps, and the included scripts perform local file processing, reporting, and deployment operations that match the description.

目的

The name/description (ML pipeline for trading) aligns with the included scripts and SKILL.md: data validation, feature engineering, AutoML orchestration, evaluation, feature-store integration (described), and deployment. The required resources (none declared) are reasonable for an instruction-only skill containing template scripts.

说明范围

SKILL.md gives high-level, ML-specific guidance (leakage checks, CV, AutoML steps) and asks the agent to gather dataset and pipeline parameters. The bundled scripts operate on local files and directories (validate, analyze, copy, report). There are no instructions to read unrelated system files, harvest environment secrets, or exfiltrate data to external endpoints.

安装机制

No install spec is present (instruction-only skill) and all code is bundled. This is the lower-risk model: nothing is downloaded or exec-installed during install.

证书

The skill declares no required env vars or credentials, which matches the bundled scripts (they do local file I/O only). SKILL.md mentions integrating with feature stores (Feast, Tecton) and AutoML libraries — those integrations would typically require credentials or external dependencies, but the skill does not request them. This is not necessarily malicious but means the agent will expect the user to provide any required service credentials …

持久

always is false and the skill does not request persistent system-wide privileges. The deployment script writes to a target directory chosen at runtime and creates a .deployment.json and deployment_report.json in that target — expected behavior for a deployment utility. The skill does not modify other skills or global agent configuration.

综合结论

This package appears coherent with its stated purpose and the included scripts operate on local files (validation, analysis, copying, reporting). Before installing or running: (1) review and run the scripts in a controlled environment (not against sensitive system directories), (2) if you plan to connect to external feature stores or AutoML services, supply credentials only via secure mechanisms and be aware the skill does not declare or manag…

安装(复制给龙虾 AI)

将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「ML Pipeline」。简介:Complete machine learning pipeline for trading: feature engineering, AutoML, de…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/ahuserious/ml-pipeline/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

暂无本地缓存内容,可在后台执行详情同步。