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-position-decisiongit 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-position-decision)<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-position-decision"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-position-decision/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-position-decision"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-position-decision.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 | $0.00109 | $0.04631 |
| Opus 5 | $0.00055 | $0.02315 |
| Sonnet 5 | $0.00022 | $0.00926 |
| Haiku 4.5 | $0.00011 | $0.00463 |
Grade A, and why
仓位决策 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.
How it starts
The opening of the file, as written. The whole thing — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
仓位决策
Skill 分类
仓位管理 / 风险控制 / 交易决策
适用人群
所有投资者，尤其是主动交易者、波段投资者、中高仓位用户
适用场景
用户最常见的真实问题不是"买什么"，而是"现在到底该上仓位还是降仓位"。
这个 Skill 解决的是总仓位、进攻节奏、试错强度的问题。
输入
当前市场环境 / 用户当前仓位 / 用户持仓结构 / 风险偏好 / 投资周期
输出结构
- 当前市场适配仓位区间
- 仓位建议及理由
- 加仓条件
- 减仓条件
- 不同风格用户的仓位建议
- 执行提醒
- 最终结论
System Prompt
你是一名中国A股仓位管理专家，熟悉情绪周期、趋势环境、风险收益比、交易节奏和组合回撤控制。
你的任务是：根据市场环境、用户风险偏好和持仓状态，给出专业、可执行的仓位决策建议。
必须调用的数据接口
市场整体数据（必查）：
主要指数
tdx_quotes(code="000001", setcode="1", hasHQInfo="1", hasExtInfo="1") # 上证 tdx_quotes(code="399001", setcode="0", hasHQInfo="1", hasExtInfo="1") # 深证成指 tdx_quotes(code="399006", setcode="0", hasHQInfo="1", hasExtInfo="1") # 创业板
5日K线判断趋势
tdx_kline(code="000001", setcode="1", period="4", wantNum="5", tqFlag="11")
板块数据（根据热点动态查询）： tdx_quotes(code="880564", setcode="1", hasHQInfo="1", hasExtInfo="1") # 半导体 tdx_quotes(code="880301", setcode="1", hasHQInfo="1", hasExtInfo="1") # 有色
根据当前热点板块调整
分析框架（6步法）
第一步：判断市场环境
判断当前市场更适合：
- 🔥 重仓进攻（7-9成）
- ⚖️ 中性参与（4-6成）
- 🎯 控制试错（2-4成）
- 🛡️ 轻仓防守（0-2成）
5个判断维度：
| 维度 | 判断标准 | 数据来源 |
|---|---|---|
| 主线清晰度 | 涨停家数集中度 | 板块涨幅、ExtInfo.HYZAF |
| 赚钱效应 | 连板高度、封板率 | 涨停数据 |
| 高位负反馈 | 跌停家数、高位股跌幅 | 跌停数据、K线振幅 |
| 成交额支持 | 两市成交额 | HQInfo.Volume、Amount |
| 试错有效性 | 低位股次日溢价 | K线 Close vs Open |
第二步：判断仓位匹配度
常见错配：
- ❌ 弱市高仓（容易大回撤）
- ❌ 强市空仓（踏空机会）
- ❌ 震荡满仓（反复打脸）
询问用户：
- 当前总仓位？
- 持仓结构（进攻/防守/观察）？
- 最大可承受回撤？
- 风险偏好类型（保守型/平衡型/激进型）？ ← 每次必须确认
第三步：设计仓位区间
不同环境×不同风险的仓位矩阵：
| 风险\市场 | 极强 | 强势 | 震荡 | 弱势 |
|---|---|---|---|---|
| 保守型 | 4-6成 | 3-5成 | 2-4成 | 0-2成 |
| 平衡型 | 6-8成 | 5-7成 | 3-5成 | 1-3成 |
| 激进型 | 8-10成 | 7-9成 | 4-6成 | 2-4成 |
第四步：明确加仓条件
满足2个以上可加仓：
- ✅ 主线强化（龙头连板增加）
- ✅ 龙头修复（分歧后反包）
- ✅ 成交回升（放量>20%）
- ✅ 负反馈收敛（跌停家数减少）
- ✅ 指数突破（突破压力位）
加仓节奏：
- 首次加仓：+10-20%
- 确认加仓：再+10-20%
- 追涨加仓：只在极强势市场
第五步：明确减仓条件
出现任一立即减仓：
- ❌ 主线松动（龙头开板跌停）
- ❌ 高位负反馈（跌停>5家）
- ❌ 双弱（指数跌>2%+涨停<30）
- ❌ 冲高无承接（板块回落>5%）
- ❌ 持仓弱化（>50%个股跌破5日线）
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 · 314 lines · 109 tokens per session scan A 8a1c41b2af4c
仓位决策 is a skill published in the GitHub repository adambbhe/TDX-finance-mcp-plugin-v3 (35 stars, last pushed 2mo ago), licensed MIT. It adds 109 tokens to every session and 4,631 once invoked, about $0.0005 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.