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S2S Forecasting Expert (FuXi, FengWu, AIFS)
by
Manmeet Singh
· GitHub ↗
· v1.0.1
631
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Install in OpenClaw
/install s2s-forecasting-expert
Description
End-to-end builder for AI-based Subseasonal-to-Seasonal (S2S) forecasting systems. Generates runnable PyTorch code for FuXi-style, FengWu-style, and AIFS-ins...
Usage Guidance
This skill appears coherent and low-risk, but exercise normal caution: review any generated code before running it (look for dataset download commands, remote URLs, or hard-coded credentials), run unknown training scripts in a controlled environment (container/VM) if possible, verify you comply with dataset licenses such as ERA5, and disable the skill if you do not want it to be auto-invoked for related queries. If you plan to run distributed or multi-GPU scripts, inspect scheduler/launcher commands to avoid unintentionally interacting with cluster resources or credentials.
Capability Analysis
Type: OpenClaw Skill
Name: s2s-forecasting-expert
Version: 1.0.1
The skill bundle consists solely of documentation files (`_meta.json`, `SKILL.md`, `README.md`). Both `SKILL.md` and `README.md` clearly state that the skill generates code locally, does not call external APIs, does not perform remote execution, and does not transmit data externally. The `SKILL.md` metadata explicitly declares no required environment variables or files. There are no instructions or phrases that suggest prompt injection against the AI agent, nor any other indicators of malicious or suspicious behavior.
Capability Assessment
Purpose & Capability
The name and description (S2S model builder for FuXi/FengWu/AIFS-style systems) match the SKILL.md content: generation of model architectures, training loops, CRPS implementations, evaluation, and inference code. No unrelated capabilities or credentials are requested.
Instruction Scope
SKILL.md is an instruction-only manifest that directs the agent to generate code and scaffolds. It does not instruct the agent to read arbitrary host files, access environment variables, or send data externally; it explicitly states no external API calls or automatic dataset downloads.
Install Mechanism
There is no install spec and no code files executed by the platform. Being instruction-only means nothing is downloaded or written by the skill itself—lowest-risk install posture.
Credentials
The skill declares no required environment variables, credentials, or config paths. This is proportional to an LLM-based code-generator that produces local training/inference code.
Persistence & Privilege
always is false and the skill does not request persistent or system-wide configuration changes. Autonomous invocation is allowed by default but is not combined with other high-risk behaviors.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install s2s-forecasting-expert - After installation, invoke the skill by name or use
/s2s-forecasting-expert - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Major update: The skill now generates full runnable code and training pipelines for S2S AI weather models.
- Renamed from "s2s-forecasting-expert" to "s2s-model-builder" to reflect code generation capabilities.
- Provides end-to-end PyTorch code for model architecture, training, inference, and evaluation.
- Supports FuXi-style, FengWu-style, and AIFS-inspired S2S forecasting models.
- Implements CRPS loss, probabilistic outputs, distributed training, and ERA5-style data workflows.
- Maintains strict security: all code runs locally, with no external API calls or data transmissions.
v1.0.0
- Initial release of s2s-forecasting-expert.
- Provides expert guidance for AI-based Subseasonal-to-Seasonal (S2S) forecasting systems including FuXi, FengWu, and AIFS.
- Covers architecture design, training pipelines, probabilistic forecasting, evaluation, and deployment for S2S models.
- Focus on CRPS-based probabilistic verification and transformer-based global weather models.
- No external API calls or data transmission; advisory-only functionality.
Metadata
Frequently Asked Questions
What is S2S Forecasting Expert (FuXi, FengWu, AIFS)?
End-to-end builder for AI-based Subseasonal-to-Seasonal (S2S) forecasting systems. Generates runnable PyTorch code for FuXi-style, FengWu-style, and AIFS-ins... It is an AI Agent Skill for Claude Code / OpenClaw, with 631 downloads so far.
How do I install S2S Forecasting Expert (FuXi, FengWu, AIFS)?
Run "/install s2s-forecasting-expert" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is S2S Forecasting Expert (FuXi, FengWu, AIFS) free?
Yes, S2S Forecasting Expert (FuXi, FengWu, AIFS) is completely free (open-source). You can download, install and use it at no cost.
Which platforms does S2S Forecasting Expert (FuXi, FengWu, AIFS) support?
S2S Forecasting Expert (FuXi, FengWu, AIFS) is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created S2S Forecasting Expert (FuXi, FengWu, AIFS)?
It is built and maintained by Manmeet Singh (@manmeet3591); the current version is v1.0.1.
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