glmv-stock-analyst

glmv-stock-analyst is a skill for Claude Code, Codex from zai-org/GLM-skills. It costs 178 tokens per session (5,157 once invoked), scanned A, original, Apache-2.0.

A stock-analysis workflow for Hong Kong, mainland Chinese, and United States shares. It combines company information, price charts, trading activity, news, and wider economic factors into a report.

In plain words
What is it for?
Use it to analyze a stock, assess its recent movement, discuss whether it may be worth buying, or produce a chart-supported report.
Why use it?
It brings several types of market information into one analysis instead of requiring separate research for each angle.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to analyze a stock, assess its recent movement, discuss whether it may be worth buying, or produce a chart-supported report.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zai-org/glm-skills/glmv-stock-analyst
Install

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.

Any agent
npx skills add zai-org/GLM-skills --skill glmv-stock-analyst
Clone the repo
git clone --depth 1 https://github.com/zai-org/GLM-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for glmv-stock-analyst

README.md
[![agentmods](https://agentmods.dev/badge/skills/zai-org/glm-skills/glmv-stock-analyst/github.svg)](https://agentmods.dev/skills/zai-org/glm-skills/glmv-stock-analyst)
Your own site
<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.

agentmods 80×15 button for glmv-stock-analyst

Your own site · 80×15
<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>
Per session 178 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,157 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 11d ago against content hash 7abfa47755fc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 6 executable files (scripts/export_report.py, scripts/fetch_all.py, scripts/fetch_ir.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/glmv-stock-analyst/SKILL.md · 425 lines

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

Read the full file on GitHub · 425 lines

Changes

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.

  1. 11d ago First seen · 425 lines · 178 tokens per session scan A 7abfa47755fc

Subscribe to this mod's changes

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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