A tool for generating three types of reports about China’s A-share stock market: daily market reviews, individual-stock research, and portfolio reports. A-shares are shares of companies listed on mainland Chinese stock exchanges.

Use it to create a daily market review, research a stock, or analyse a portfolio from a configuration file, with an option to save the report.

It groups recurring market, company, and portfolio analysis into one command-line tool and produces Markdown reports.

report — Skill for Claude Code and Codex by ZICXR/A-Stock-Skills

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 ZICXR/A-Stock-Skills --skill report

Clone the repo

git clone --depth 1 https://github.com/ZICXR/A-Stock-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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/zicxr/a-stock-skills/report/github.svg)](https://agentmods.dev/skills/zicxr/a-stock-skills/report)

Your own site

<a href="https://agentmods.dev/skills/zicxr/a-stock-skills/report"><img src="https://agentmods.dev/badge/skills/zicxr/a-stock-skills/report/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/zicxr/a-stock-skills/report"><img src="https://agentmods.dev/badge/skills/zicxr/a-stock-skills/report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 459 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.

Model	Per session	Once invoked
Fable 5.1	$0.00085	$0.00459
Opus 5.5	$0.00034	$0.00184
Sonnet 5.5	$0.00017	$0.00092
Haiku 4.5	$0.00009	$0.00046

Measured 2mo ago against content hash d44446895970, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

report 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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (main.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/05-reports/report/SKILL.md · 65 lines

What it actually says

A 股报告生成器 Skill (统一版)

何时使用

用户需要每日 A 股复盘
用户需要个股深度研究
用户需要持仓报告

3 种报告

子命令	功能	内容
`daily`	每日大盘复盘	指数/广度/板块/涨停/资金
`stock`	个股研报	公司/技术/资金/舆情
`portfolio`	持仓报告	盈亏/行业/调仓

使用方式

# 每日复盘
python main.py daily
python main.py daily --date 2024-12-30 --save

# 个股研报
python main.py stock 000001
python main.py stock 000001 --save

# 持仓报告
python main.py portfolio --config portfolio.yaml --save

Python API

from skills.05-reports.report.main import (
    report_daily, report_stock, report_portfolio
)

# 每日
md = report_daily(date="2024-12-30", save=True)

# 个股
md = report_stock("000001", save=True)

# 持仓
md = report_portfolio(config_path="./portfolio.yaml", save=True)

依赖

akshare>=1.12.0
pandas>=1.5.0
pyyaml>=5.4.0

合并历史

本 Skill 由原 daily-market-report + stock-research-report + portfolio-report 合并而成, 节省 2 个 Skill。

Files

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.

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.

2mo ago First seen · 65 lines · 0 tokens per session scan A d44446895970

Subscribe to this mod's changes

report is a skill published in the GitHub repository ZICXR/A-Stock-Skills (31 stars, last pushed 4mo ago), licensed MIT. It adds 85 tokens to every session and 459 once invoked, about $0.0003 per session on Opus 5.5. 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.

Analytics and metrics Finance and fintech a-stock ai-trading akshare astock capital-flow china-stock

report next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
reportZICXR/A-Stock-Skills	Skill	31	4mo ago	MIT	A	85	Claude Code, Codex
private-company-researchxbtlin/ai-berkshire	Skill	17k	2d ago	MIT	A	33	Claude Code
bottleneck-hunterxbtlin/ai-berkshire	Skill	17k	2d ago	MIT	A	41	Claude Code
investment-researchxbtlin/ai-berkshire	Skill	17k	2d ago	MIT	A	43	Claude Code
industry-researchxbtlin/ai-berkshire	Skill	17k	2d ago	MIT	A	36	Claude Code
investment-checklistxbtlin/ai-berkshire	Skill	17k	2d ago	MIT	A	28	Claude Code
management-deep-divexbtlin/ai-berkshire	Skill	17k	2d ago	MIT	A	34	Claude Code