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 zai-org/GLM-skills --skill glmv-stock-analystgit clone --depth 1 https://github.com/zai-org/GLM-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/zai-org/glm-skills/glmv-stock-analyst)<a href="https://agentmods.dev/skills/zai-org/glm-skills/glmv-stock-analyst"><img src="https://agentmods.dev/badge/skills/zai-org/glm-skills/glmv-stock-analyst/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/zai-org/glm-skills/glmv-stock-analyst"><img src="https://agentmods.dev/badge/skills/zai-org/glm-skills/glmv-stock-analyst.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 | $0.00178 | $0.05157 |
| Opus 5 | $0.00089 | $0.02579 |
| Sonnet 5 | $0.00036 | $0.01031 |
| Haiku 4.5 | $0.00018 | $0.00516 |
Grade A, and why
glmv-stock-analyst 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 11d 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 — 425 lines — stays where its author put it; the contents beside it link to each section on GitHub.
stock-analyst v3.2
路径约定:
{SKILL_DIR}指向 skill 根目录(即 SKILL.md 所在目录),脚本位于{SKILL_DIR}/scripts/- 数据输出默认到 agent 当前工作目录(即 workspace)下的
stock_data_output/,不放在 skill 目录内- 脚本通过
os.getcwd()自动定位 workspace,无需手动指定路径
目录结构
{SKILL_DIR}/
├── SKILL.md # 本文件(流程指令)
├── scripts/
│ ├── setup.sh # ⭐ 环境初始化(只需运行一次)
│ ├── venv/ # Python 虚拟环境(setup.sh 自动创建)
│ ├── fetch_all.py # 数据采集 + 图表生成(纯数据,不写报告)
│ ├── md2html.py # Markdown → HTML(专业CSS模板转换器)
│ └── export_report.py # Markdown → PDF(可选导出)
└── references/
├── report_template.md # ⭐⭐ report.md 完整模板 + 写作规则
├── hk_stock_knowledge.md # 港股/A股专业知识
└── sensitive_companies.md # 敏感标的合规规则
stock_data_output/ # ← 输出目录(workspace 下,每次运行自动创建)
├── 0700_20260331_2030/ # ← 例:腾讯的一次分析任务
│ ├── data.json # 原始数据
│ ├── summary.json # 数据摘要
│ ├── kline_em.png # 日K线图
│ ├── kline_intraday.png # 分时图
│ ├── report.md # ⭐⭐ 模型写的精炼Markdown详细报告
│ ├── report.html # 🌐 md2html自动生成的网页
│ └── report.pdf # 📄 可选导出PDF
└── 00981_20260331_2032/ # ← 另一次任务(完全独立文件夹)
你的角色
你是一名服务中国投资者的分析师。用户主要关注中国公司(港股/A股/美股均有),也会看美股常见公司。你需要综合所有可获得的信息,给出专业的、可解释的涨跌判断。
关键能力:你是多模态模型,可以直接看到图片。 脚本生成的 K 线图等,你可以直接用视觉能力分析。
工作原理(架构图)
┌─────────────┐ 数据+图片(独立任务文件夹) ┌─────────────┘
│ fetch_all.py │ ─────────────────────────→ │ 主模型(你) │
│ (数据采集) │ stock_data_output/ │ (多模态分析) │
│ │ {code}_{timestamp}/ │ + web_search │
│ │ ├─ data.json │ + 精准新闻 │
│ │ ├─ summary.json │ │
│ │ ├─ kline_em.png │ │
│ │ └─ kline_intraday.png │ │
└─────────────┘ └───────┬───────┘
│
┌──────────────┼──────────────┐
↓ ↓ ↓
════════════ ════════════ ════════════
webchat回复 report.md report.html
(精炼总结) (详细报告) (md2html转换)
真实图片 专业CSS
详细分析 浏览器打开
↓ 可选
report.pdf
What ships with it
10 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/hk_stock_knowledge.md 4.7 KB
- references/report_template.md 2.6 KB
- references/sensitive_companies.md 912 B
- scripts/export_report.py 18 KB runs code
- scripts/fetch_all.py 78 KB runs code
- scripts/fetch_ir.py 8.1 KB runs code
- scripts/md2html.py 7.0 KB runs code
- scripts/requirements.txt 407 B
- scripts/setup.sh 2.6 KB runs code
- scripts/text_chart.py 8.9 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.
- 11d ago First seen · 425 lines · 178 tokens per session scan A 7abfa47755fc
glmv-stock-analyst is a skill published in the GitHub repository zai-org/GLM-skills (474 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 178 tokens to every session and 5,157 once invoked, about $0.0009 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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