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/fuyuxiang/echo-agent/stocksnpx skills add fuyuxiang/echo-agent --skill stocksgit clone --depth 1 https://github.com/fuyuxiang/echo-agentWrote 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/fuyuxiang/echo-agent/stocks)<a href="https://agentmods.dev/skills/fuyuxiang/echo-agent/stocks"><img src="https://agentmods.dev/badge/skills/fuyuxiang/echo-agent/stocks.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 | $0.00029 | $0.00584 |
| Opus 5 | $0.00015 | $0.00292 |
| Sonnet 5 | $0.00006 | $0.00117 |
| Haiku 4.5 | $0.00003 | $0.00058 |
Grade C, and why
stocks scanned grade C with 2 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 4d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s "https://query1.finance.yahoo.com/v8/finance/chart/AAPL?interval=1d&range=5d" | python3 -m json.tool Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://hq.sinajs.cn/list=sh600519" | iconv -f gbk -t utf8 What it actually says
Stocks & Market Data
Query real-time market data from free APIs. No API key required.
A-Shares (中国A股)
# Sina Finance (real-time during trading hours)
curl -s "https://hq.sinajs.cn/list=sh600519" | iconv -f gbk -t utf8
# sh=上海, sz=深圳, e.g. sz000001 (平安银行)
# East Money JSON API
curl -s "https://push2.eastmoney.com/api/qt/stock/get?secid=1.600519&fields=f43,f44,f45,f46,f47,f57,f58"
US Stocks
# Yahoo Finance (free, no key)
curl -s "https://query1.finance.yahoo.com/v8/finance/chart/AAPL?interval=1d&range=5d" | python3 -m json.tool
Crypto
# CoinGecko (free, no key)
curl -s "https://api.coingecko.com/api/v3/simple/price?ids=bitcoin,ethereum&vs_currencies=usd,cny"
Fund NAV (基金净值)
# 天天基金 (e.g. 001496)
curl -s "https://fundgz.1234567.com.cn/js/001496.js" | python3 -c "
import sys,json,re
data = re.search(r'jsonpgz\((.*)\)', sys.stdin.read())
if data: d=json.loads(data.group(1)); print(f\"{d['name']}: 净值{d['dwjz']} 估算{d['gsz']} ({d['gszzl']}%)\")
"
Script
python3 scripts/market_query.py stock 600519 # A-share
python3 scripts/market_query.py stock AAPL # US stock
python3 scripts/market_query.py crypto bitcoin # Crypto
python3 scripts/market_query.py fund 001496 # Fund
Watchlist
Configure ~/.echo-agent/watchlist.yaml:
stocks:
- symbol: sh600519
name: 贵州茅台
- symbol: AAPL
name: Apple
crypto:
- bitcoin
- ethereum
funds:
- "001496"
alert_threshold: 3 # alert if change > 3%
What ships with it
1 file 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.
- 4d ago First seen · 76 lines · 29 tokens per session scan C c7f60250da01
stocks is a skill published in the GitHub repository fuyuxiang/echo-agent (988 stars, last pushed 4d ago), licensed MIT. It adds 29 tokens to every session and 584 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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