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 agentmods add skills/haochenhust/ch-skills/technical-analyzernpx skills add Haochenhust/ch-skills --skill technical-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/technical-analyzer)<a href="https://agentmods.dev/skills/haochenhust/ch-skills/technical-analyzer"><img src="https://agentmods.dev/badge/skills/haochenhust/ch-skills/technical-analyzer.svg" alt="Measured on agentmods" 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 | $0.00073 | $0.00926 |
| Opus 5 | $0.00036 | $0.00463 |
| Sonnet 5 | $0.00015 | $0.00185 |
| Haiku 4.5 | $0.00007 | $0.00093 |
Grade A, and why
technical-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Analyzer
Auxiliary timing tool for entry/exit decisions. NEVER use as primary decision basis — fundamentals first.
When to Use
- After stock-analyzer confirms a fundamental thesis, use this to time the entry
- When deciding specific buy/sell price levels
- When checking if a stock is overbought/oversold
Prerequisites
Uses the sibling tushare-data / stock-market-data skills. Set once per shell:
export TUSHARE_TOKEN=<your Tushare Pro token> # never hard-code; see the tushare-data skill
PY=python3 # a python3 with tushare/pandas/akshare (e.g. stock-market-data/.venv/bin/python3)
SKILLS=~/.claude/skills # where you installed these skills
TS=$SKILLS/tushare-data/scripts/fetch_tushare.py
AK=$SKILLS/stock-market-data/scripts
Data Retrieval
# Primary: Tushare Pro — 近3个月日K(OHLCV + 复权因子)
$PY $TS --mode daily --symbols {CODE}.SZ --start {3_MONTHS_AGO_YYYYMMDD}
$PY $TS --mode adj_factor --symbols {CODE}.SZ --start {3_MONTHS_AGO_YYYYMMDD}
# PE/PB/换手率/市值(用于量价+估值辅助)
$PY $TS --mode daily_basic --symbols {CODE}.SZ --start {3_MONTHS_AGO_YYYYMMDD}
# 周K(看中期趋势)
$PY $TS --mode weekly --symbols {CODE}.SZ --start {6_MONTHS_AGO_YYYYMMDD}
# Fallback: AKShare
$PY $AK/fetch_market_data.py --mode evening --stocks {CODE}
Data Processing
Use adj_factor to calculate 前复权价格: adj_price = close * adj_factor / latest_adj_factor
This ensures MA calculations reflect true price movements (not distorted by splits/dividends).
Analysis Framework
1. Trend Assessment
- Compare current price to 5/10/20/60 day moving averages
- Price above all MAs = strong uptrend
- Price below all MAs = strong downtrend
- MAs converging = potential breakout
2. Support & Resistance
- Recent highs/lows as reference points
- Round numbers (e.g., 80, 100) as psychological levels
- Volume clusters as support/resistance zones
3. Volume Analysis
- Volume increasing with price up = healthy trend
- Volume decreasing with price up = potential exhaustion
- Volume spike on down day = possible capitulation/bottom
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.
- 5d ago First seen · 92 lines · 73 tokens per session scan A fb8aa2074a63
technical-analyzer is a skill published in the GitHub repository Haochenhust/ch-skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 926 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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