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 adambbhe/TDX-finance-mcp-plugin-v3 --skill tdx-board-valuationgit clone --depth 1 https://github.com/adambbhe/TDX-finance-mcp-plugin-v3Wrote 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/adambbhe/tdx-finance-mcp-plugin-v3/tdx-board-valuation)<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-board-valuation"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-board-valuation/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/adambbhe/tdx-finance-mcp-plugin-v3/tdx-board-valuation"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-board-valuation.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 | $0.00042 | $0.00803 |
| Opus 5 | $0.00021 | $0.00402 |
| Sonnet 5 | $0.00008 | $0.00161 |
| Haiku 4.5 | $0.00004 | $0.00080 |
Grade A, and why
板块估值 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 12d 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.
What it actually says
TDX Board Valuation
何时使用
当用户想看个股在板块中的估值定位、板块与沪深 300 对比，或板块/指数历史估值走势时使用本 skill。
入参规则
entry固定为TdxSharePCCW.skef10_hy_hydw_gzsppm- 结构化路由会自动推导到
mode="query-type-target-stock" queryType决定查询类型targetCode是板块或指数代码queryType="01"时，stockCode代表个股代码；如果只看板块与沪深 300，可留空queryType="02"时，stockCode应留空- 如果显式传
responseTransform，要保证它与queryType对应一致；当前代码不会自动纠正不匹配的 preset - 如果用户明确要求原始上游响应，使用
mode="raw"并按上游顺序传params
查询类型映射
| 查询类型 | 适用场景 | queryType |
默认 preset |
结果表名 |
|---|---|---|---|---|
relative_valuation |
个股在板块中的估值对比、排名、与沪深 300 对比 | 01 |
board_valuation_query_type_01 |
individual_stock、industry_board、hs300 |
history_valuation |
板块或指数历史估值走势 | 02 |
board_valuation_query_type_02 |
components、industry_board_snapshot、hs300_snapshot、market_average_snapshot |
选择规则
- 用户问“个股在板块里贵不贵”“板块内估值排名”时，选
relative_valuation - 用户问“板块历史 PE/PB 水平”“指数估值走势”时，选
history_valuation - 用户未细分但明显是在问个股相对板块估值时，优先选
relative_valuation
调用方式
推荐写法：依赖自动推导
tdx_api_data entry="TdxSharePCCW.skef10_hy_hydw_gzsppm" queryType="01" targetCode="881430" stockCode="301073"
tdx_api_data entry="TdxSharePCCW.skef10_hy_hydw_gzsppm" queryType="02" targetCode="881430" stockCode=""
原始上游结果
tdx_api_data mode="raw" entry="TdxSharePCCW.skef10_hy_hydw_gzsppm" params=["01","881430","301073"]
结果处理
- 优先读取
response.transformed.tables relative_valuation重点看个股、板块、沪深 300 的相对位置history_valuation重点看最新值、区间高低和样本点数- 如果用户要求原始字段，再补充
response.data
输出要求
- 先说明查询对象、查询类型和调用参数
- 再总结估值位置、对比关系和最新时间点
- 最后补充明细表、空结果或接口异常说明
What ships with it
1 file 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.
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.
- 12d ago First seen · 66 lines · 42 tokens per session scan A 345ef3c1a777
板块估值 is a skill published in the GitHub repository adambbhe/TDX-finance-mcp-plugin-v3 (35 stars, last pushed 2mo ago), licensed MIT. It adds 42 tokens to every session and 803 once invoked, about $0.0002 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
hithink-finance
A routing guide for accessing Chinese A-share financial data, including prices, company reports, valuations, funds, indices, sectors, and local data storage.
hithink-finance-fund
A command-line guide for querying fund information, including profiles, managers, holdings, prices, returns, financial data, news, and exchange-traded fund snapshots. A command-line tool is a program controlled by typed terminal commands.
hithink-finance-data
A local data-management skill for the HiThink Finance command-line tool and its DuckDB database. DuckDB is a database stored in a local file.
hithink-finance-market
A command-line tool entry for retrieving ordinary Chinese A-share market data, including snapshots, historical price bars, trading calendars, adjustment factors, and company actions.
hithink-finance-special-data
A command-line tool entry for retrieving special Chinese market lists and event data, such as limit-up stocks, limit-down stocks, unusual moves, hot stocks, and Dragon-Tiger records.
hithink-finance-futures
A command-line data source for public futures-market information, including contracts, positions, warehouse receipts, basis, trading schedules, and price charts. Futures are agreements to buy or sell an asset at a set future date.