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 ZICXR/A-Stock-Skills --skill reportgit clone --depth 1 https://github.com/ZICXR/A-Stock-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/zicxr/a-stock-skills/report)<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.
<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>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 | $0.00043 | $0.00230 |
| Sonnet 5 | $0.00017 | $0.00092 |
| Haiku 4.5 | $0.00009 | $0.00046 |
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 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.
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。
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.
- 12d ago First seen · 65 lines · 0 tokens per session scan A d44446895970
report is a skill published in the GitHub repository ZICXR/A-Stock-Skills (25 stars, last pushed 2mo ago), licensed MIT. It adds 85 tokens to every session and 459 once invoked, about $0.0004 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.
Other skills, from other repositories
private-company-research
A research workflow for private companies, meaning businesses whose shares are not traded on a public stock exchange. It uses several research roles to investigate the company in depth.
bottleneck-hunter
A research workflow for finding supply-chain bottlenecks—parts of global production where shortages or limited capacity may create investment opportunities.
investment-research
A broad stock-research workflow combining ideas associated with Warren Buffett, Charlie Munger, Duan Yongping, and Li Lu. It examines the business, its quality, its risks, and its value.
earnings-review
A workflow for closely reading and interpreting a company's financial reports using original source material.
industry-research
An industry-research workflow that maps how an industry works from suppliers to customers, then examines individual companies within it. The value-investing analysis looks at business quality, risks, and price.
investment-checklist
A pre-purchase checklist for value investing, which means buying shares based on a company’s business quality and estimated worth. It is based on the investing approach associated with Warren Buffett.