ETF Fund Flow Anomalies
Paste the following prompt into your AI chat to install this skill:
Please install @org-mijzrode/gfetfsuperfund according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
ETF fund-flow anomalies often appear in market feeds, news, or trading tools, but the data is fragmented and lacks a consistent interface. This skill wraps the GF Securities ETF Super Fund query into an MCP tool call, making it easier to retrieve anomaly results by conditions such as large inflow in scripts, automation pipelines, or agent workflows.
How It Works
The skill authenticates and calls a fixed endpoint:
- Configure GF_SKILLS_APIKEY; if the key is missing, the call should stop and prompt the user to request access from the GF skill market.
- Send a POST request to https://mcp-api.gf.com.cn/gf-skills/skills/mcp/call.
- Include service_name: etf-super-fund, tool_name: gfmiddle_eits_super_fund_etf_superfund_get, and query arguments such as args.type in the JSON body.
- Pass the API key via the Authorization: Bearer header, and avoid committing it to logs or repositories.
Boundaries
The provided material only shows the service name, tool name, authentication rule, and a large inflow example. It does not document the full response schema, pagination, historical ranges, or error codes. Validate the returned fields before using them in downstream analysis; this skill is suited for data retrieval and workflow integration, not as a final investment decision source without the relevant business context.
Use Cases
- Researchers pull large-inflow ETF super fund anomalies during market hours.
- Data engineers wire the GF Securities MCP call into automation scripts.
- Agent workflows query ETF fund flows by large-inflow type for alerts.
- Risk teams retrieve typed ETF super fund anomalies as monitoring input.
Best For
- Quant researchers: need ETF super fund anomalies by types such as large inflow.
- Financial data engineers: need to wrap the GF Securities MCP call into pipelines.
- Investment-research agent developers: need typed ETF fund-flow queries in workflows.
- Market monitoring staff: need ETF fund-flow inputs by anomaly type.
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