
Rq Initiating Coverage
Generate a structured first-coverage equity research report for a Chinese listed company from RiceQuant-style JSON feeds.
Install
npx skills add https://github.com/ricequant/ricequant-skills --skill rq-initiating-coverageWhat is this skill?
- Chinese-language report skeleton with placeholders for exec summary, peers, valuation, and risks
- Documented JSON data contract for company_info, industry, shares, top-10 shareholders, and historical_financials
- generate_report.py reads --data-dir and assembles sections from structured inputs
- Anchors industry taxonomy and peer selection via first/second/third industry fields
- Builds 5-year same-basis financial trajectory from quarterly historical_financials
Adoption & trust: 1 installs on skills.sh; 26 GitHub stars; 3/3 security scanners passed (skills.sh audits); trending (+100% hot-view momentum).
Recommended Skills
Journey fit
Initiating coverage is canonical on Validate because it proves you understand a company’s financials, governance, and valuation before committing capital or a product bet tied to that ticker. Scope fits the skill’s job: define coverage boundaries, peer set, and risk frame—not full automated trading or ops monitoring.
Common Questions / FAQ
Is Rq Initiating Coverage safe to install?
skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.
SKILL.md
READMESKILL.md - Rq Initiating Coverage
# 首次覆盖研究报告 - 报告日期:[[REPORT_DATE]] - 公司:[[COMPANY_NAME]]([[STOCK_CODE]]) ## 执行摘要 [[EXEC_SUMMARY]] ## 公司概况与覆盖边界 [[COMPANY_PROFILE]] ## 股权结构与治理画像 [[OWNERSHIP_SECTION]] ## 历史财务轨迹 [[FINANCIAL_TRAJECTORY]] ## 盈利质量与现金流 [[QUALITY_AND_CASHFLOW]] ## 市场预期与卖方口径 [[EXPECTATION_AND_SELLSIDE]] ## 可比公司与估值定位 [[PEER_AND_VALUATION]] ## 交易表现与股东回报 [[TRADING_AND_DIVIDEND]] ## 风险提示 [[RISK_SECTION]] ## 附录:口径说明 [[APPENDIX]] # initiating-coverage 数据契约 `initiating-coverage/scripts/generate_report.py` 默认从 `--data-dir` 读取以下 JSON 文件。 ## 1. `company_info.json` 典型字段: - `order_book_id` - `symbol` - `abbrev_symbol` - `industry_name` - `listed_date` - `office_address` - `province` - `sector_code_name` 用途: - 公司名称、上市时间、办公地、基础资料 ## 2. `industry.json` 典型字段: - `first_industry_name` - `second_industry_name` - `third_industry_name` 用途: - 行业口径与 peers 选择锚点 ## 3. `shares.json` 典型字段: - `date` - `total` - `total_a` - `circulation_a` - `free_circulation` 用途: - 总股本、流通股本、自由流通股本和自由流通比例 ## 4. `shareholder_top10.json` 典型字段: - `end_date` - `info_date` - `rank` - `shareholder_name` - `hold_percent_total` - `hold_percent_float` - `shareholder_kind` 用途: - 十大股东结构、集中度、国资 / 基金 / 外资等持有人画像 ## 5. `historical_financials.json` 典型字段: - `quarter` - `info_date` - `revenue` - `net_profit` - `gross_profit` - `total_assets` - `total_liabilities` - `total_equity` - `cash_from_operating_activities` - `cash_flow_from_investing_activities` - `cash_flow_from_financing_activities` 用途: - 自动识别最新财报季度 - 生成 5 年同口径财务轨迹 - 计算同比、单季度、毛利率、资产负债率、现金转化率 ## 6. `roe_history.json` 典型字段: - `date` - `return_on_equity_weighted_average` 用途: - ROE 时间序列与当前盈利质量 ## 7. `market_cap.json` / `pe_ratio.json` / `pb_ratio.json` / `dividend_yield.json` 典型字段: - `date` - 对应 factor 字段 说明: - `dividend_yield` 原始值为 bps,生成报告时需要除以 `100` 后按百分比展示 用途: - 当前估值、股东回报与 peer percentile ## 8. `price_history.json` 典型字段: - `datetime` - `close` - `volume` - `total_turnover` 用途: - 1M / 3M / 6M / 1Y / 3Y 绝对收益 - 相对基准收益 ## 9. `turnover_history.json` 典型字段: - `tradedate` - `today` - `week` - `month` - `year` 用途: - 最新换手率与历史中位数对比 ## 10. `benchmark_price.json` 典型字段: - `datetime` - `close` 用途: - 计算相对沪深300等基准的超额收益 ## 11. `dividend_history.json` 典型字段: - `quarter` - `dividend_cash_before_tax` - `round_lot` - `declaration_announcement_date` - `ex_dividend_date` 用途: - 分红历史、年度派现节奏与每手税前现金分配 ## 12. `consensus.json` 典型字段: - `date` - `create_tm` - `report_year_t` - `comp_con_operating_revenue_t / t1 / t2 / t3` - `comp_con_net_profit_t / t1 / t2 / t3` - `comp_con_eps_t / t1 / t2 / t3` - `con_targ_price` 用途: - 最新一致预期与 60 天前预期对比 - 目标价变化 ## 13. `research_reports.json` 典型字段: - `create_tm` - `date` - `report_title` - `summary` - `summaries.core_view` - `institute` - `author` - `fiscal_year` - `net_profit_t / t1 / t2` - `eps_t / t1 / t2` - `targ_price` - `report_main_id` - `data_source` 用途: - 卖方口径摘要 - 目标价、盈利预测与机构分布补充 补充说明: - 若存在 `data_source` 字段,应将 `0` 视为公司研报主样本;其他来源默认不进入最终正文 - 最终报告优先读取 `summaries.core_view` 等客户可读摘要,不直接截断原始 `summary` ## 14. `peer_pool.json` 允许格式: ```json [ { "order_book_id": "600519.XSHG", "selection_level": "third", "market_cap": 2000000000000 } ] ``` 用途: - 显式记录可比公司池来源和选择结果 ## 15. `peer_company_info.json` / `peer_industry.json` / `peer_latest_financials.json` 用途: - 提供 peers 名称、行业归属、最新财务快照 ## 16. `peer_roe.json` / `peer_market_cap.json` / `peer_pe_ratio.json` / `peer_pb_ratio.json` / `peer_dividend_yield.json` 用途: - 生成可比公司估值与盈利质量对比表 ## 17. `web_search_findings.json` 该文件可选,仅用于补充管理层、行业、政策、竞争或公司近期动态的定性背景。 每条记录至少包含: - `query` - `source_name` - `source_type` - `title` - `url` - `published_at` - `retrieved_at` - `summary` - `why_relevant` - `confidence` - `finding_type` 推荐附加字段: - `subject` - `related_entities` - `stance` 说明: - `published_at` 是源内容发布时间,不是报告日期 - `retrieved_at` 是实际检索时间 - `source_type` / `confidence` 需遵守 [references/web_search.md](web_search.md) 的来源等级约束 - `web_search_findings.json` 不能替代财务、估值、价格、分红、一致预期和 peer 量化主数据 - 若该文件存在,报告会将其压缩为客户可读的补充背景,不会直