Corrects ETF names in wnews financial news analysis reports.
npx skills add https://github.com/xttey001/wnews --skill wnews-analysis
Please help me install this Agent Skill. Skill: wnews-analysis Source: https://github.com/xttey001/wnews/tree/main/.workbuddy/skills/wnews-analysis Command: npx skills add https://github.com/xttey001/wnews --skill wnews-analysis
This Skill eliminates the risk of incorrect ETF name generation in AI-powered financial news analysis for the wnews five-dimension evolution system, which often leads to inaccurate fund identification and flawed analysis results. It provides authoritative reference data and calibration rules to ensure all ETF-related outputs use standardized, correct names.
Use the wnews-analysis skill to correct all ETF names in the wukong_judgment, bajie_conclusion, and tang_sanzang sections of the daily wnews financial news analysis report to their standard canonical names using the provided reference table and error correction rules.
High-intent search queries and answers about installing and using this skill.
You can correct incorrect ETF names by applying standardized reference mappings and high-frequency error correction rules to replace AI hallucinated names with canonical names. This ensures accurate fund identification and prevents misidentification of investment targets in analysis reports.
AI hallucinates ETF names in financial news analysis due to naming ambiguity across similar funds, causing it to confuse related instruments like commodity and new energy ETFs. Explicit error correction rules marking high-frequency misidentifications resolve this by providing authoritative canonical name mappings.
To standardize ETF names across financial analysis report sections, apply a unified reference table of 1386 standard names across 9 categories to correct output fields. This calibration ensures all sections use consistent canonical names, maintaining frontend-backend system compatibility and accurate target tracking.
Yes, standardized ETF name correction supports multi-layer market analysis by integrating calibration logic into daily financial news processing workflows. This ensures accurate ETF identification across multiple analysis layers, delivering reliable signal fusion and consistent investment target data.
Yes, ETF name correction handles holiday date rollback for daily financial news processing by defining data calibration rules that adjust weekend and holiday dates. This ensures temporal accuracy in analysis reports and maintains seamless integration with backend workflow scheduling.
Without ETF name calibration, AI financial news analysis risks inaccurate fund identification, flawed investment target tracking, and frontend-backend system incompatibility. Limitations include propagating hallucinated names across report sections, leading to costly misidentification and compromised signal fusion results.
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