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from stock_qualitative_analysis_skills22
Generates evidence-based, buy-side style qualitative stock analysis reports with strict citations and sectioned templates (Chinese default).
Provides a structured, chapter-by-chapter qualitative analysis workflow for public companies. The skill ingests filings (PDF/HTML) and public sources, extracts key sections (e.g., Item 1/1A/7/8), and produces a Markdown report with Conclusions / Details / Evidence for each section. It enforces citation-first writing and placeholders when evidence is missing, and defaults to Chinese output unless English is requested.
Use this skill when a user requests an evidence-backed qualitative stock analysis (定性分析) that must avoid hallucinations and follow a buy-side reporting format — e.g., research notes, company deep-dives, or due-diligence summaries. Suitable when SEC filings or user-provided PDFs are available.
Intent: tools that can run Python scripts and fetch remote filings (agents with web/network access, Claude/Codex-style agents that can call helper scripts).
Stock qualitative analysis skill for generating buy-side style reports from SEC filings, with Chinese as default language. Scripts form a data pipeline: fetch SEC EDGAR filings, extract HTML sections, build source manifests, ingest PDFs, validate reports. The SEC fetcher is well-built with retries and rate limiting. Two placeholder scripts (HKEX, company IR) are intentionally unimplemented. Most scripts require CLI arguments and exit cleanly when missing.
requests (for fetch_sec_edgar.py)Legitimate financial analysis skill. No security concerns beyond a hardcoded personal email in User-Agent string. Scripts are well-structured CLI tools. The skill is niche (Chinese-language equity research) but well-executed for its domain.
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