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 Haochenhust/ch-skills --skill stock-analyzergit clone --depth 1 https://github.com/Haochenhust/ch-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/haochenhust/ch-skills/stock-analyzer)<a href="https://agentmods.dev/skills/haochenhust/ch-skills/stock-analyzer"><img src="https://agentmods.dev/badge/skills/haochenhust/ch-skills/stock-analyzer/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/haochenhust/ch-skills/stock-analyzer"><img src="https://agentmods.dev/badge/skills/haochenhust/ch-skills/stock-analyzer.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 | $0.00083 | $0.01496 |
| Opus 5 | $0.00042 | $0.00748 |
| Sonnet 5 | $0.00017 | $0.00299 |
| Haiku 4.5 | $0.00008 | $0.00150 |
Grade A, and why
stock-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stock Analyzer
Standardized deep-dive analysis for individual stocks, producing a structured research note.
When to Use
- User asks to analyze a specific stock
- A research task identifies a potential trading candidate
- Updating analysis for a stock already in your research notes
Prerequisites
Data commands below use the sibling tushare-data and stock-market-data skills. Install them, then set once per shell:
export TUSHARE_TOKEN=<your Tushare Pro token> # never hard-code; see the tushare-data skill
PY=python3 # a python3 with tushare/pandas/akshare (e.g. stock-market-data/.venv/bin/python3)
SKILLS=~/.claude/skills # where you installed these skills
TS=$SKILLS/tushare-data/scripts/fetch_tushare.py
AK=$SKILLS/stock-market-data/scripts
Analysis Workflow
Step 1: Gather Data
# Primary: Tushare Pro (richer, more stable)
$PY $TS --mode fina_indicator --symbols {CODE}.SZ
$PY $TS --mode daily_basic --symbols {CODE}.SZ --start 20260101
$PY $TS --mode income --symbols {CODE}.SZ
$PY $TS --mode forecast --symbols {CODE}.SZ
$PY $TS --mode top10_holders --symbols {CODE}.SZ
$PY $TS --mode daily --symbols {CODE}.SZ --start {3_MONTHS_AGO}
$PY $TS --mode adj_factor --symbols {CODE}.SZ --start {3_MONTHS_AGO}
# Fallback: AKShare
$PY $AK/fetch_financial_data.py --mode stock --symbols {CODE}
Step 2: Web Research
Search for recent news, analyst reports, and industry developments:
- Use WebSearch for "{stock name} 券商研报 一致预期" (analyst consensus, earnings forecasts)
- Use WebSearch for "{stock name} 最新研报 2026"
- Use WebSearch for "{stock name} {industry keyword} 进展"
- Check Xueqiu/Eastmoney for recent discussions
Step 2.5: Price & Volume Analysis (近3个月日K)
Using the daily OHLCV + adj_factor data from Step 1:
- 走势形态: 上升趋势/下降趋势/震荡盘整?近3个月涨跌幅?
- 均线位置: 当前价格相对5/10/20/60日均线的位置
- 量价关系: 近期量能变化趋势(放量上涨?缩量回调?)
- 关键价位: 近3个月高点/低点,支撑位/阻力位
- 波动率: 近期日均振幅,判断当前波动是否正常
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.
- 10d ago First seen · 168 lines · 83 tokens per session scan A e6481d060640
stock-analyzer is a skill published in the GitHub repository Haochenhust/ch-skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 1,496 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 2026-08-31.
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