HiThink-Tech/Financial-API is an official Tonghuashun service that provides A-share market data, including prices, financial statements, indices, sectors, funds and trading activity through APIs and developer tools. It serves AI agents, quantitative researchers and application developers. The catalogue add-ons help coding agents access and use this financial data.
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 HiThink-Tech/Financial-API --skill hithink-finance-special-datagit clone --depth 1 https://github.com/HiThink-Tech/Financial-APIWrote 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/hithink-tech/financial-api/hithink-finance-special-data)<a href="https://agentmods.dev/skills/hithink-tech/financial-api/hithink-finance-special-data"><img src="https://agentmods.dev/badge/skills/hithink-tech/financial-api/hithink-finance-special-data/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/hithink-tech/financial-api/hithink-finance-special-data"><img src="https://agentmods.dev/badge/skills/hithink-tech/financial-api/hithink-finance-special-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 12 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00082 | $0.01088 |
| Opus 5 | $0.00041 | $0.00544 |
| Sonnet 5 | $0.00016 | $0.00218 |
| Haiku 4.5 | $0.00008 | $0.00109 |
Grade A, and why
hithink-finance-special-data 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
hithink-finance-special-data
特色榜单和事件型数据入口。强调窗口约束和榜单口径，不替代普通行情或财报。
前置条件表
| 条件 | 操作 |
|---|---|
| 开始任何 CLI 调用 | 先读取并遵循 hithink-finance-shared |
| 不确定命令是否存在或参数是否变化 | 运行 hithink-finance capabilities --format json，再运行 hithink-finance schema <id> --format json |
| 需要执行下表某个命令 | 先读取对应 reference 文件，不要只凭命令名猜参数 |
| 结果可能是全市场、分页、多标的或长区间 | 使用命令声明的 --output <path> 落盘；远端 stdout 只返回摘要 |
快速决策
| 用户意图 | 首选命令 / 路由 |
|---|---|
| 今日异动列表/异动标签 | special anomaly-list，仅今日 |
| 最多 50 只股票的今日异动原因 | special anomaly-stock，仅今日 |
| 涨停池分页 | special limit-up-pool |
| 跌停池分页 | special limit-down-pool |
| 炸板池分页 | special limit-break-pool |
| 连板天梯 | special limit-up-ladder |
| 飙升榜 | special skyrocket |
| 当前热股榜 | special hot-stock |
| 历史热股榜 | special hot-stock-history |
| 单股热度趋势 | special hot-stock-trend |
| 龙虎榜/机构/游资 | special dragon-tiger |
Shortcuts
| 命令 | 何时使用 |
|---|---|
| special anomaly-list | Query today-only anomaly analysis rows |
| special anomaly-stock | Query today-only anomalies for up to 50 raw code tokens |
| special dragon-tiger | Query dragon-tiger board records |
| special hot-stock | Query the current hot-stock ranking |
| special hot-stock-history | Query a historical hot-stock ranking |
| special hot-stock-trend | Query one stock hot-rank trend |
| special limit-break-pool | Query the limit-break stock pool |
| special limit-down-pool | Query the limit-down stock pool |
| special limit-up-ladder | Query the 30-day limit-up ladder |
| special limit-up-pool | Query the limit-up stock pool |
| special skyrocket | Query the skyrocket ranking |
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/special-anomaly-list.md 1.3 KB
- references/special-anomaly-stock.md 1.4 KB
- references/special-dragon-tiger.md 1.5 KB
- references/special-hot-stock-history.md 1.3 KB
- references/special-hot-stock-trend.md 1.5 KB
- references/special-hot-stock.md 1.3 KB
- references/special-limit-break-pool.md 2.5 KB
- references/special-limit-down-pool.md 2.5 KB
- references/special-limit-up-ladder.md 1.2 KB
- references/special-limit-up-pool.md 2.2 KB
- references/special-skyrocket.md 1.3 KB
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 · 73 lines · 82 tokens per session scan A e949daf45ede
hithink-finance-special-data is a skill published in the GitHub repository HiThink-Tech/Financial-API (2,990 stars, last pushed yesterday), licensed MIT. It adds 82 tokens to every session and 1,088 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
Other skills, from other repositories
通达信TQ
A connection between Python strategy files and TdxQuant, TongdaXin's platform for securities data analysis and quantitative investment research. It uses the platform's tqcenter.py module to interact with the TongdaXin client.
政策解读与受益分析
A research assistant for interpreting Chinese policies and tracing how they may affect industries and companies. It is designed for policy research, thematic investing, event-driven analysis, and mapping policy changes to potential beneficiaries.
机构持仓股东分析
A research workflow for examining an A-share company’s major shareholders and institutional holdings. It compares ownership structure, changes in holdings, concentration, and possible investor behavior.
仓位决策
A Chinese-language decision aid for managing how much money is invested in A-share trades. It considers market conditions, current holdings, risk tolerance, and investment timeframe.
问小达选A股
A Chinese-language stock screener for A-shares, the shares traded on mainland Chinese stock exchanges. It turns natural-language requests into filters for prices, trends, company finances, industries, concepts, and money flows.
查询行业产业链映射
A Chinese-language industry-chain mapping workflow for turning a market theme, technology, policy, or event into a structured investment map. An industry chain describes how resources, suppliers, manufacturers, and applications connect.