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 isjiamu/jiamu-skills --skill stock-advisorgit clone --depth 1 https://github.com/isjiamu/jiamu-skillsWrote 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/isjiamu/jiamu-skills/stock-advisor)<a href="https://agentmods.dev/skills/isjiamu/jiamu-skills/stock-advisor"><img src="https://agentmods.dev/badge/skills/isjiamu/jiamu-skills/stock-advisor/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/isjiamu/jiamu-skills/stock-advisor"><img src="https://agentmods.dev/badge/skills/isjiamu/jiamu-skills/stock-advisor.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 | $0.00097 | $0.02373 |
| Opus 5 | $0.00048 | $0.01187 |
| Sonnet 5 | $0.00019 | $0.00475 |
| Haiku 4.5 | $0.00010 | $0.00237 |
Grade A, and why
stock-advisor 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 — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A股投资顾问 (Stock Advisor)
全自动编排型投资分析流水线。用户只需提供股票截图或代码，系统自动完成技术面分析、基本面分析、多维交叉验证、私董会决策讨论，最终输出精美排版的投资报告。
流水线架构
用户输入（截图 / 股票代码）
│
▼
① 技术面分析 → ② 基本面分析 → ③ 多维交叉验证 → ④ 私董会讨论 → ⑤ 排版输出
启动流程
首次使用：投资风格档案
检查 memory 中是否存在用户投资风格档案。如不存在，提 3-4 个简短问题：
- 风险偏好：保守 / 稳健 / 激进？
- 投资周期：短线（1-2周）/ 中线（1-3月）/ 长线（3月以上）？
- 关注行业：有没有特别关注的行业板块？
- 仓位上限：单只股票最大仓位占比？
用户可选择跳过，后续在私董会环节自然补充。收集到的信息保存到 memory。
识别入口模式
根据用户输入自动判断：
- 截图模式：用户上传了图片（K线图、财报截图）→ 图像识别 + AKShare 交叉验证
- 代码模式：用户提供了股票代码或名称 → 纯 AKShare 数据驱动
两种模式均进入同一流水线，差异仅在数据获取方式。
模块一：技术面分析
截图模式
-
图像识别：从 K 线图中提取：
- 股票名称和代码
- 当前股价
- K 线形态（近 5 日表现）
- 均线排列状态（MA5/MA10/MA20）
- MACD 状态（DIF/DEA 位置关系、柱状图趋势）
-
AKShare 交叉验证：用识别出的股票代码调用脚本获取精确数据
python scripts/technical_analysis.py --symbol <股票代码> --days 120 -
冲突处理：若图像识别与 API 数据有差异，以 API 数据为准，在报告中标注差异
代码模式
直接调用脚本获取数据并计算指标：
python scripts/technical_analysis.py --symbol <股票代码> --days 120
输出：技术面速读表格
| 维度 | 指标 | 数值 | 信号 |
|---|---|---|---|
| 趋势 | MA20/MA60 | — | 上升/震荡/下降 |
| MACD | DIF/DEA | — | 金叉/死叉/多头/空头 |
| KDJ | K/D/J | — | 超买/超卖/中性 |
| RSI | RSI14 | — | 超买/超卖/中性 |
| 布林带 | 上轨/中轨/下轨 | — | 突破/偏多/偏空 |
| 支撑压力 | 支撑位/压力位 | — | — |
模块二：基本面分析
截图模式
- 图像识别：从财报截图提取关键指标（营收、净利润、ROE、毛利率等）
- AKShare 补充：拉取 PE/PB/PS 估值数据、行业对比数据
python scripts/fundamental_analysis.py --symbol <股票代码>
代码模式
直接调用脚本：
python scripts/fundamental_analysis.py --symbol <股票代码>
合并输出
综合评级表格：
| 维度 | 评分 | 判断 |
|---|---|---|
| 技术面 | X/5 | 趋势方向 + 关键信号 |
| 基本面 | X/5 | 盈利能力 + 估值水平 |
| 资金面 | X/5 | 成交量变化趋势 |
| 综合评级 | — | 强烈推荐/推荐/中性/谨慎/回避 |
操作建议：
- 短期（1-2周）策略
- 中期（1-3月）策略
- 关键支撑位和压力位
模块三：多维交叉验证
使用内置 WebSearch 工具搜索以下信息：
- 研报观点：搜索
"<股票名称> 研报 <当前年份>"获取机构评级和目标价 - 行业动态：搜索
"<所属行业> 行业趋势 <当前年份>"了解上下游变化 - 重大新闻：搜索
"<股票名称> 最新消息"排查重大利好/利空事件 - 政策影响：搜索相关产业政策、监管动态
交叉验证逻辑
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.
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 · 265 lines · 97 tokens per session scan A 83e2bccc4e58
stock-advisor is a skill published in the GitHub repository isjiamu/jiamu-skills (134 stars, last pushed 2mo ago), licensed MIT. It adds 97 tokens to every session and 2,373 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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furusato
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reading-receipt
An image-reading workflow for extracting structured information from receipts, invoices, and hometown-tax donation certificates. It can first extract text from PDFs and otherwise read their images.