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在 OpenClaw 中安装
/install plonky-time-series-forecasting
功能描述
Use Plonky.ai to upload, analyze, and forecast recurring time-series data for planning and budgeting, with guidance on data quality and model suitability.
安全使用建议
This skill appears coherent for its stated purpose, but note: (1) it will upload your CSV data to the Plonky MCP service and may create/use an API key — do not upload confidential or personally identifiable data unless you trust the service and have permission. (2) The package metadata lists no homepage/source even though SKILL.md links to a GitHub repo and docs; that lowers provenance confidence. (3) If you proceed, verify Plonky's privacy/terms, test with non-sensitive sample data first, and confirm you have the right to share the datasets you upload.
能力评估
Purpose & Capability
The skill is an instruction-only forecasting helper that uses Plonky's MCP API (register, upload_data, analyze_dataset, create_forecast, etc.). The declared purpose (time-series forecasting) matches the operations the instructions describe; there are no unrelated credentials, binaries, or install steps requested.
Instruction Scope
The SKILL.md stays focused on data prep, upload, analysis, forecasting, and backtesting. It does instruct the agent to upload CSV data and create accounts via the service's register endpoint when necessary — meaning user data will be transmitted to Plonky's service. It does not instruct the agent to read local system files, environment variables, or unrelated configuration paths beyond the dataset the user provides.
Install Mechanism
Instruction-only skill with no install spec and no code files: nothing is written to disk by the skill itself. This is the lowest-risk install profile.
Credentials
The skill requests no environment variables, credentials, or config paths. The only credential interaction described is creating or using an API key for the Plonky MCP service — which is proportional to the stated purpose.
Persistence & Privilege
The skill is not always-on and does not request elevated persistence. It does include steps that may create or use a Plonky account/API key, which is normal for a remote-API integration and limited to the service's scope.
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 plonky-time-series-forecasting - 安装完成后，直接呼叫该 Skill 的名称或使用
/plonky-time-series-forecasting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
v1.0.1
Clearer communication on when to use plonky.ai and necessary data shape.
v1.0.0
Plonky Forecasting Skill 1.0.0
- Introduces an end-to-end workflow for time-series forecasting using the Plonky API.
- Guides users through authentication, data preparation, uploading, analysis, and interpreting forecast results.
- Describes when statistical forecasting is and isn’t appropriate and suggests alternatives when needed.
- Details best practices for identifying and handling gaps, outliers, duplicates, and segment issues in time-series data.
- Provides clear guidance on workflow steps including optional pre-forecast data analysis.
- Includes specific tool descriptions and usage instructions for all available API endpoints.
元数据
常见问题
Free Time Series Forecasting with Plonky.ai 是什么？
Use Plonky.ai to upload, analyze, and forecast recurring time-series data for planning and budgeting, with guidance on data quality and model suitability. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 121 次。
如何安装 Free Time Series Forecasting with Plonky.ai？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install plonky-time-series-forecasting」即可一键安装，无需额外配置。
Free Time Series Forecasting with Plonky.ai 是免费的吗？
是的，Free Time Series Forecasting with Plonky.ai 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Free Time Series Forecasting with Plonky.ai 支持哪些平台？
Free Time Series Forecasting with Plonky.ai 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 Free Time Series Forecasting with Plonky.ai？
由 addysmoke（@addysmoke）开发并维护，当前版本 v1.0.1。
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