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 duolongworld/AI_Renaissance --skill tencent_technicalgit clone --depth 1 https://github.com/duolongworld/AI_RenaissanceWrote 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/duolongworld/ai_renaissance/tencent_technical)<a href="https://agentmods.dev/skills/duolongworld/ai_renaissance/tencent_technical"><img src="https://agentmods.dev/badge/skills/duolongworld/ai_renaissance/tencent_technical/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/duolongworld/ai_renaissance/tencent_technical"><img src="https://agentmods.dev/badge/skills/duolongworld/ai_renaissance/tencent_technical.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00103 | $0.02182 |
| Opus 5 | $0.00051 | $0.01091 |
| Sonnet 5 | $0.00021 | $0.00436 |
| Haiku 4.5 | $0.00010 | $0.00218 |
Grade A, and why
tencent-technical 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
腾讯财经 K线数据获取 Skill
实现位置
本 Skill 只描述腾讯财经 K 线数据接口和输出形态；真实 HTTP 请求、响应解析、指标计算实现位于：
data_sources.tencent_technical
skills/data/tencent_technical/scripts/fetch_kline.py 仅作为薄包装保留历史导入路径和 CLI 入口，不承载核心数据源逻辑。
推荐业务代码直接调用：
from data_sources.tencent_technical import fetch_kline, fetch_kline_with_indicators
raw = fetch_kline("600519", k_type="day", num=120)
with_indicators = fetch_kline_with_indicators("600519", k_type="day", num=120)
兼容旧脚本路径的 CLI 调试方式：
python skills/data/tencent_technical/scripts/fetch_kline.py --stock_code 600519 --k_type day --num 120
1. 适用范围
所属小组：开发3组（数据）
适用任务：
- 从腾讯财经（ifzq.gtimg.cn）获取指定个股的 K线行情数据（OHLCV）
- 支持市场：A股（上交所/深交所）、港股、美股
- 支持日K、周K、月K、1/5/15/30/60分钟K线（前复权）
- 基于K线原始数据计算技术指标：MA均线、BOLL布林带、RSI相对强弱指数
- 提供结构化 JSON 输出，供技术分析 Agent 消费
边界说明：
- 本 Skill 只负责数据获取和技术指标计算，不做任何交易判断
- 腾讯 API 只返回 OHLCV 原始数据，MA/BOLL/RSI 为本地计算
- API 为非官方公开接口，可能随时变更，建议控制请求频率
- 日K最多获取 640 条，分钟K最多获取 320 条
- 港美股 API 覆盖度可能不及 A 股，部分代码可能无数据
2. 输入材料
必填输入
- 股票代码，支持以下格式（大小写不敏感）：
| 市场 | 代码格式 | 示例 |
|---|---|---|
| A股上交所 | 6位数字（6开头），可选 sh 前缀 | 600519、sh688981 |
| A股深交所 | 6位数字（0/3开头），可选 sz 前缀 | 000001、sz300750 |
| 港股 | 5位以内数字，可选 hk 前缀 | 00700、hk09988 |
| 美股 | 字母 ticker，可选 us 前缀 | AAPL、usTSLA |
- K线周期（day/week/month/m1/m5/m15/m30/m60）
可选输入
- 获取数量（默认 120，日K最多 640，分钟K最多 320）
- 技术指标选择（默认 ma,boll,rsi，逗号分隔）
缺失处理
- 如果股票代码无法识别，输出
status: "error"，kline: [] - 如果 API 请求失败，输出
status: "error"，附错误信息 - 如果 K线数据不足计算某个指标，对应字段输出
null
3. 分析步骤
- 标准化股票代码（自动识别 A股/港股/美股 → sh/sz/hk/us 前缀格式）
- 根据 K线周期选择对应 API 端点
- 调用腾讯财经 API 获取 OHLCV 原始数据
- 解析响应，提取 date/open/close/high/low/volume
- 按 indicators 参数计算技术指标：
- MA：收盘价的 N 周期滑动平均
- BOLL：MA20 ± 2×标准差
- RSI：基于涨跌幅的相对强弱指数
- 输出结构化 JSON
4. 判断规则
本 Skill 为数据获取层，不产出交易方向判断。技术指标的计算规则如下：
- MA5/MA10/MA20/MA60：数据不足 N 条时输出 null
- BOLL(20,2σ)：至少需要 20 条数据，不足时 upper/middle/lower 均为 null
- RSI6/RSI12/RSI24：至少需要 N+1 条数据（计算涨跌幅），不足时输出 null
- 成交量：输出统一为 A 股常用口径“手”。腾讯日 K 对科创板
sh688***原始字段可能返回“股”，运行时会先除以 100 归一为“手”，并保留volume_raw/volume_raw_unit便于排查口径。
What ships with it
2 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.
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 · 228 lines · 103 tokens per session scan A abf944ff6e4d
tencent-technical is a skill published in the GitHub repository duolongworld/AI_Renaissance (59 stars, last pushed 12d ago), licensed Apache-2.0. It adds 103 tokens to every session and 2,182 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.
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