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 agentmods add skills/yourdaylight/stock_datasource/tushare-plugin-buildernpx skills add Yourdaylight/stock_datasource --skill tushare-plugin-buildergit clone --depth 1 https://github.com/Yourdaylight/stock_datasourceWrote 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/yourdaylight/stock_datasource/tushare-plugin-builder)<a href="https://agentmods.dev/skills/yourdaylight/stock_datasource/tushare-plugin-builder"><img src="https://agentmods.dev/badge/skills/yourdaylight/stock_datasource/tushare-plugin-builder.svg" alt="Measured on agentmods" 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 | $0.00056 | $0.03737 |
| Opus 5 | $0.00028 | $0.01869 |
| Sonnet 5 | $0.00011 | $0.00747 |
| Haiku 4.5 | $0.00006 | $0.00374 |
Grade A, and why
tushare-plugin-builder scanned grade A with 1 finding 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
description: This skill should be used when the user provides a Tushare API document URL and asks to generate a full plugin in this codebase, including extractor, schema, config, query service, and agent/MCP/http usage w How it starts
The opening of the file, as written. The whole thing — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.
目的
将 Tushare 文档 URL 转换为本仓库的生产级插件，包含数据抽取、ClickHouse 表结构、查询服务，以及可测试的 curl 示例。
何时使用
- 用户提供 Tushare 文档 URL 或页面内容，要求生成插件。
- 用户需要基于某个 Tushare 接口生成插件 + 入库 + service + Agent/MCP 调用。
- 验证已有插件：用户要求检查某个插件是否符合规范。
工作流程
1) 收集必要输入
- 确保用户提供了 Tushare 文档 URL。若无法访问，请求截图或复制的文档内容。
- 若未指定插件名，询问用户。使用 snake_case 命名，与现有
tushare_*插件保持一致。
2) 从文档提取 API 规格
- 解析接口名称、输入参数、输出字段、使用说明（频率限制、分页、数据量限制）。
- 记录字段命名差异（如
pct_changevspct_chg）及所需转换。
3) 规划插件结构（参考 references/plugin_conventions.md）
- 目录：
src/stock_datasource/plugins/<plugin_name>/ - 文件：
__init__.py、plugin.py、extractor.py、service.py、schema.json、config.json、<plugin_name>.md - 以现有
tushare_*插件为模板。
4) 实现 extractor
- 使用
tushareSDK，API 调用需用proxy_context()包裹。 - 实现频率限制、超时、重试（tenacity）。
- 根据 API 特性支持
trade_date或start_date/end_date。
5) 实现 plugin
- 实现
extract_data、validate_data、transform_data、load_data。 - 插入前添加
version和_ingested_at列。 - 转换数值类型，
trade_date转为Date。
插件分类与角色
必须实现以下方法指定插件的分类和角色：
from stock_datasource.core.base_plugin import PluginCategory, PluginRole
def get_category(self) -> PluginCategory:
"""插件分类 - 按市场划分"""
return PluginCategory.CN_STOCK # 或 HK_STOCK, INDEX, ETF_FUND, SYSTEM
def get_role(self) -> PluginRole:
"""插件角色"""
return PluginRole.PRIMARY # 或 BASIC, DERIVED, AUXILIARY
分类说明：
CN_STOCK: A股相关数据HK_STOCK: 港股相关数据INDEX: 指数相关数据ETF_FUND: ETF/基金相关数据SYSTEM: 系统数据（如交易日历）
角色说明：
PRIMARY: 主数据（如 daily 行情）BASIC: 基础数据（如 stock_basic）DERIVED: 衍生数据（如复权因子）AUXILIARY: 辅助数据（如指数权重）
依赖配置
在 plugin.py 中实现依赖方法（不是在 config.json 中配置）：
def get_dependencies(self) -> List[str]:
"""必须依赖 - 这些插件的数据必须存在才能运行当前插件。
例如：tushare_daily 依赖 tushare_stock_basic 提供股票代码列表。
"""
return ["tushare_stock_basic"]
def get_optional_dependencies(self) -> List[str]:
"""可选依赖 - 同步主插件时默认会同步这些依赖，用户可选择禁用。
例如：tushare_daily 可选同步 tushare_adj_factor 复权因子。
"""
return ["tushare_adj_factor"]
What ships with it
7 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/plugin_conventions.md 1.3 KB
- scripts/generate_create_table_sql.py 4.5 KB runs code
- scripts/run_plugin_test.py 5.0 KB runs code
- scripts/validate_plugin.py 17 KB runs code
- scripts/verify_clickhouse_connection.py 6.0 KB runs code
- scripts/verify_mcp_tool.py 5.0 KB runs code
- scripts/verify_service_http.py 5.8 KB runs code
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.
- 5d ago First seen · 367 lines · 56 tokens per session scan A 75938edaebfb
tushare-plugin-builder is a skill published in the GitHub repository Yourdaylight/stock_datasource (177 stars, last pushed 3mo ago), licensed MIT. It adds 56 tokens to every session and 3,737 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
sector-rotation
行业轮动分析——申万行业景气度评分、行业动量排名、产业链传导、估值/盈利/资金流多维比较框架.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
chenhao-limit-up
Use when evaluating A-share limit-up (涨停板) setups through Chen Hao's sentiment and momentum lens: market emotion cycles, board strength, follow-through, and short-term aggressive momentum trading.
trading-risk-gate
Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.
vectorbt
High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics.