Stocki Financial Reader

Institutional-grade financial data skill for OpenClaw. Real-time quotes, financials, valuation time series, OHLCV history, industry membership, consensus forecasts, composite analysis. Covers cn/hk/us markets and stock/index/etf/futures/crypto. For structured market/financial data, use this skill.

Institutional-grade financial data analyst skill. Aggregates 8 reference docs that teach the LLM how to retrieve structured market/financial data via HTTP. Routes user queries to the right reference, handles output discipline (no data-vendor leakage), and ships self-diagnostic scripts.

Core Principle

For structured market/financial data, use this skill. Examples: real-time prices, OHLCV history, financial statements, valuation time series, industry membership, consensus forecasts, composite company analysis.

Do NOT use this skill for: general financial knowledge questions ("what is P/E ratio?"), news commentary without data backing, or anything requiring fabricated numbers.

Never fabricate market data. If a value is not in a real response, say so. Completeness and output discipline are non-negotiable.

Stay non-advisory. Relay numbers and the response's own context fields (percentiles / industry comparisons). Do NOT append buy/sell/hold ratings, target-price opinions, or personalized recommendations on top of the data.

HTTP Convention

All references share these conventions. The router enforces them globally; individual references may override only with explicit justification.

• Base URL: $STOCKI_GATEWAY_URL (env var). Set to http://localhost:9996 in dev or https://skill.stocki.com.cn in prod.

• Auth: every request carries Authorization: Bearer $STOCKI_API_KEY. localhost dev mode does not validate but the header MUST still be sent (no environment-conditional code paths).

• Content-Type: application/json for all POST.

• Error code mapping (mirrors scripts/_http.py exit codes):

  HTTP	Mapped error code	Exit code
  401	auth_invalid	1
  503 / 504 / 5xx / timeout	stocki_unavailable	3
  429 / quota	rate_limited	4
  TCP/DNS refused	unreachable	2

Inline Threshold (/api/v3/datareader/read only)

The stocki gateway v3 默认按 50 行截断 response.data;超过部分目前 runtime 不读取 外部存储。Body 参数 inline_threshold(max 1000)可把 inline 上限抬到 1000, 覆盖绝大部分时序需求。

Scope:仅 /api/v3/datareader/read 读此参数。其他 v3/v2/executor 端点静默忽略, 禁止给 financial_context/* / quotes/* / market/* / executor/* / v2 端点传 inline_threshold(会误导对响应结构的理解)。

估算先行:N = unique_symbols × time_window_trading_days × unique_metrics。 形态特化:

• index_member panel:成分股数 × 时间窗交易日
• fundamental / indicator:symbols × 时间窗内财报期数(年 1 / 季 4)
• consensus / estimate:symbols × 时间窗内有发布的交易日(稀疏)
• revenue_breakdown:symbols × 期数 × 估 5-15 segments
• company_info:symbols(静态)

Margin 表(中心化):

data_type	margin
price / fundamental / indicator / company_info	×1.2
consensus / estimate / forecast	×1.5
index_member	×1.33
revenue_breakdown	×2.0

四档分支:

N	行为
≤ 50	不设 inline_threshold,默认 50 已覆盖
50 < N ≤ 1000	设 inline_threshold = min(ceil(N × margin), 1000)
> 1000	先 narrow query(单日 / 单 symbol / 显式 metrics);仍 >1000 → fail-loud「当前只能返回前 1000 行预览,完整数据请联系数据团队」
未知	设 inline_threshold = 1000;响应后校验 total_records ≤ 1000;>1000 走 narrow / fail-loud

禁止:

• ✗ 一律设 1000(token 浪费)
• ✗ N>1000 继续用截断数据回答(误导用户)
• ✗ 用户层文本出现内部存储术语(data_path / 内部 bucket 路径 / 文件后缀 等)

Routing Table

8 references, organized in 3 tiers. Trigger keywords are multilingual (Chinese / English / mixed).

Tier	Trigger keywords (CN / EN)	Reference
0 (preprocessor)	metric name not in fundamentals-panel cheatsheet	references/metric-resolver.md
0 (preprocessor)	NL company / ticker / concept / sector / index name (not already a bare code); default strict, LLM may bypass when very confident in the canonical identifier	references/name-resolver.md
1 (composite-first, cn/hk only)	analyze X / 分析 / 综合 / 贵不贵 / 健康吗 / 业务结构 / 哪条业务最快 / 为什么涨/跌 / 共识修正轨迹	references/financial-context.md
2 (current snapshot)	now / 现价 / 实时 / intraday / "PE 现在" / "ROE 现在"	references/realtime-quote.md
2 (price time series)	history / K 线 / OHLCV / 区间收益 / 复权 / 走势	references/price-history.md
2 (fundamentals panel)	"营收 8 季度" / "PE 历史时序" / "ROE 4 季趋势" / "三表 Q4" / 总市值时序 / 单季 / 累计 / TTM	references/fundamentals-panel.md
2 (forecast snapshot)	consensus / 一致预期 / 目标价 / 分部 (when financial-context unavailable)	references/consensus-and-target.md
2 (registry)	industry / 行业 / 成分股 / 公司简介 / 上市日期 / 股本注册表	references/industry-and-symbols.md
2 (calendar)	trading days / 交易日 / availability / 开盘了吗 / N 月有几个交易日	references/market-calendar.md

Routing Decision Rules (R1–R8)

Apply in order. Later rules can override earlier ones if user intent is specific.

• R1. Open-ended fundamentals analysis → financial-context (cn/hk only). User asks generically without naming a specific metric ("分析下 X / X 基本面怎么样 / X 贵不贵 / X 健康吗 / 业务结构 / 哪条业务最快 / 为什么涨跌 / 共识修正轨迹"). Pick L1 / L2 / L3 by depth. Do NOT chain fundamentals-panel + consensus-and-target + price-history to recreate what one composite call returns.

• R2. financial-context only ships pre-computed 5-year valuation percentile fields (valuation 段里 key 后缀含 percentile_5y 的字段即是;具体字段名以响应实际为准,不假定固定前缀)。It does NOT compute arbitrary windows. User asks 5y percentile → use these fields directly (even when a specific metric like PE/PB is named, do NOT go to fundamentals-panel to recompute). User asks any other window (3y / 10y / "历史" without specifying) → upstream does NOT serve this directly. Pull raw daily series via fundamentals-panel data_type=valuation and EITHER (a) compute percentile rank from the series and label clearly as "approximation from raw series", OR (b) tell the user only 5y is directly supported.

• R3. Full consensus time series is exclusive to financial-context L3 (≥132 records). When using L3, do NOT additionally call consensus-and-target.

• R4. Current single value (PE/ROE/PB now) → realtime-quote with include_fundamentals=true. Lighter than fundamentals-panel with extra.daily=true and carries an explicit freshness signal.

• R5. Specific named metric(s), multi-period panel → fundamentals-panel. User explicitly names one or more financial / derived indicator / valuation metric(s) and wants a time-series panel ("8 季度营收 / ROE 4 季 / 毛利率历史 / PE 时序 / 总市值历史 / 三表 Q4"). Pick data_type ∈ {financial, indicator, market_cap, valuation} by metric kind.

• R6. us:stock fallback. financial-context and most fundamentals-panel data_types are unavailable for us. Surface upstream availability warning to user; fall back to realtime-quote for current value, fundamentals-panel data_type=market_cap (only us-supported), price-history for OHLCV.

• R7. Multi-call is allowed and expected. A query like "AAPL 现价 + 一致预期 + 行业" correctly results in 3 reference calls. Do NOT collapse into a single reference at the cost of correctness.

• R8. Two Tier 0 preprocessors, not routing targets.

  • metric-resolver runs before fundamentals-panel / financial-context field lookup when user mentions a metric name not in the cheatsheet, returning canonical raw key + EN/CN label.
  • name-resolver runs before any reference that needs a bare code or collection symbol, when the user supplied a natural-language name (company / concept / sector / index). Default is strict (always call); LLM may bypass when very confident in the canonical identifier for mainstream names.

R1 vs R5 litmus test: Did user name a specific metric? No → R1; yes + single point → R4; yes + multi-period panel → R5; any + 5y percentile → R2 override.

Output Discipline

When relaying response content to user-visible text, never expose any data-vendor identifiable artifacts:

Category	Forbidden form	Required form
symbol	pipe-delimited (AAPL|ST|USA)	bare code (AAPL, 600519)
metric	raw column key (e.g. oper_rev, waa_roe, roe_deducted, pe_ttm)	EN label ("Total Revenue") or CN label ("营业总收入") by user language
industry	source-tagged prefix (形如 <src>-<category>)	category itself ("食品饮料")

Why: data-vendor identity is implementation detail. Leaking it locks the output format and prevents future source switches. Each reference's Response Fields — Raw → User-Facing Label table is the source of truth for label mappings; metric-resolver's name field is fallback when not in the cheatsheet.

Doctor / Diagnose

Run before reporting any setup issue or after install:

python3 {baseDir}/scripts/doctor.py     # env / version / file integrity / workspace
python3 {baseDir}/scripts/diagnose.py   # gateway reachability + auth + read smoke test

Exit codes (uniform across all scripts):

• 0 ok
• 1 auth invalid
• 2 unreachable (TCP/DNS layer)
• 3 stocki unavailable (5xx / timeout)
• 4 rate limited / quota exceeded

When a script fails, report the exit code verbatim and stop. Do not retry.

Cross-ref

See INSTALL.md for setup. See references/<n>.md for per-endpoint contracts.