Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add jcdreamjc/wudao-mcp --skill wudao-a-share-reviewgit clone --depth 1 https://github.com/jcdreamjc/wudao-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jcdreamjc/wudao-mcp/wudao-a-share-review)<a href="https://agentmods.dev/skills/jcdreamjc/wudao-mcp/wudao-a-share-review"><img src="https://agentmods.dev/badge/skills/jcdreamjc/wudao-mcp/wudao-a-share-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jcdreamjc/wudao-mcp/wudao-a-share-review"><img src="https://agentmods.dev/badge/skills/jcdreamjc/wudao-mcp/wudao-a-share-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00059 | $0.01047 |
| Opus 5.5 | $0.00024 | $0.00419 |
| Sonnet 5.5 | $0.00012 | $0.00209 |
| Haiku 4.5 | $0.00006 | $0.00105 |
Grade A, and why
wudao-a-share-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
悟道 A股数据：复盘与研究
什么时候用
用户要做 A股盘后复盘、看涨停梯队和题材、查资金流或龙虎榜、看开盘前集合竞价、查解禁和财报披露等事件，或者管理自己的自选股时使用。
不要用来下单或给买卖建议。悟道不执行交易，输出定位为研究材料。
先确认交易日
- 任何按日期的任务，先调用
trading_calendar确认目标日期是否为交易日。 - 非交易日时，告诉用户最近的交易日，并按那一天查询；回答里写清两个日期。
- 每个返回都看
tradeDate、actualTradeDate、dateStatus和qualityWarnings。dateStatus=mismatch时，不要把实际日期的数据说成用户要的日期。
常见任务用哪些工具
| 任务 | 工具 |
|---|---|
| 收盘复盘 | market_replay_workflow（一次返回交易日、市场概况、涨跌停、梯队、题材排行和简报）；要细节再用 market_overview、limit_stats、limit_up_ladder |
| 涨停与情绪 | limitup_review_workflow、board_break_analysis、short_term_emotion、limit_up_premium |
| 题材与资金 | theme_intraday_capital、theme_stocks、sector_analysis、capital_flow |
| 开盘前竞价 | auction_opening_snapshot、auction_market_scan、auction_theme_strength；不要把几百个代码塞进 auction_data |
| 个股研究 | stock_search 解析代码，再用 stock_research_workflow，按需补 financial_summary、official_disclosure_evidence |
| 事件排雷 | stock_event_calendar、unlock_events、market_catalyst_calendar、macro_calendar |
| 自选股 | watchlist_list、watchlist_group_list 只读；watchlist_add、watchlist_remove、watchlist_update_stock、watchlist_group_create、watchlist_group_rename、watchlist_group_delete 会修改用户本人的自选 |
kline 一次最多查约 20 只股票，更多时分批。
修改自选股前先确认
写入类工具只修改当前用户本人的自选股和分组。只有用户明确要求“加入 / 移除 / 改分组 / 删分组”时才调用；删除分组或移除股票前，先把要改的内容列给用户确认。
出错时怎么办
| 返回 | 处理 |
|---|---|
FREE_TIER_MARKET_OPEN_RESTRICTED |
免费 Key 在北京时间 09:15–10:30 暂停。不要反复重试，告诉用户 10:30 后再试，或查看 https://stock.quicktiny.cn/membership?tab=apiQuota |
DAILY_LIMIT_EXCEEDED 且 quotaTier=free |
今日免费次数用完，告诉用户次日再试或查看同一套餐链接 |
RATE_LIMIT_EXCEEDED |
每分钟次数超限，按 Retry-After 等待后重试；这不代表需要购买套餐 |
INVALID_ARGUMENTS |
按返回的 errors 修正参数后重试一次 |
AUCTION_DATA_NOT_READY |
竞价数据未就绪，按 retryAfterMs 稍后重试，不要改查前一交易日来冒充今天 |
| 认证失败 / 401 | 提示用户在连接器设置里检查悟道 API Key |
只有看到上面这些确切错误码时才按对应原因说明；超时或数据缺失要如实说明，继续排查。
输出要求
- 写明数据日期，以及哪些结论来自哪个工具。
- 缺失或未就绪的数据单独列出，不要猜。
- 列举股票时用
[名称(代码)](https://stock.quicktiny.cn/quote/代码)的链接格式。 - 不说底层数据供应商或内部字段名，用“站内数据”“实时快讯”这类中性说法。
- 不给买卖建议，不承诺收益。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 58 lines · 59 tokens per session scan A 5a4f196438fe
wudao-a-share-review is a skill published in the GitHub repository jcdreamjc/wudao-mcp (11 stars, last pushed 8d ago), licensed MIT. It adds 59 tokens to every session and 1,047 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-06.
Other skills, from other repositories
private-company-research
A research workflow for private companies, meaning businesses whose shares are not traded on a public stock exchange. It uses several research roles to investigate the company in depth.
bottleneck-hunter
A research workflow for finding supply-chain bottlenecks—parts of global production where shortages or limited capacity may create investment opportunities.
earnings-team
A team-based workflow for reading financial reports through four parallel perspectives and preparing the result for publication on a public account.
investment-research
A broad stock-research workflow combining ideas associated with Warren Buffett, Charlie Munger, Duan Yongping, and Li Lu. It examines the business, its quality, its risks, and its value.
income-investment
AI Berkshire skill: Income Investment: Durable and Opportunistic Distribution Analysis. Source: skills/income-investment.md.
news-pulse
A rapid company-news workflow for explaining a sudden share-price move. It builds a timeline and checks company events, regulation, competitors, the industry, and market mood.