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 skloxo/TideTrading --skill minute-analysisgit clone --depth 1 https://github.com/skloxo/TideTradingWrote 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/skloxo/tidetrading/minute-analysis)<a href="https://agentmods.dev/skills/skloxo/tidetrading/minute-analysis"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/minute-analysis.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 | $0.00040 | $0.01008 |
| Opus 5 | $0.00020 | $0.00504 |
| Sonnet 5 | $0.00008 | $0.00202 |
| Haiku 4.5 | $0.00004 | $0.00101 |
Grade A, and why
minute-analysis scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
resp = requests.get("https://www.okx.com/api/v5/market/candles", params={ This is a copy
100% identical to minute-analysis — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Minute-Level Data Analysis and Backtesting
Purpose
Retrieve minute-level candlestick data through data-source APIs and calculate intraday indicators (VWAP, TWAP, volume distribution, and more).
Supports minute-level backtesting: set "interval": "5m" in config.json and use the backtest tool to run intraday strategies.
Backtest Configuration
For minute-level backtests, simply add the interval field in config.json:
{
"source": "okx",
"codes": ["BTC-USDT"],
"start_date": "2026-03-01",
"end_date": "2026-03-15",
"interval": "5m",
"initial_cash": 1000000,
"commission": 0.0005
}
- The annualization factor is inferred automatically from
source + interval(OKX 5m = 365 x 288 = 105120) - Minute-level datasets are large. Recommended time limits: no more than 7 days for
1m, no more than 30 days for5m, and no more than 1 year for1H
Supported Data Sources and Intervals
| Data Source | Supported Intervals | Notes |
|---|---|---|
| OKX | 1m/5m/15m/30m/1H/4H | Cryptocurrency, trades 7x24 |
| Tushare | 1m/5m/15m/30m/1H | China A-shares, requires score >= 2000 |
| yfinance | 1m/5m/15m/30m/1H | Hong Kong / US equities (free, no key required) |
OKX Minute Candlestick API
import requests
import pandas as pd
resp = requests.get("https://www.okx.com/api/v5/market/candles", params={
"instId": "BTC-USDT",
"bar": "1m", # 1m/5m/15m/30m/1H/4H
"limit": "300", # At most 300 rows per request
})
data = resp.json()["data"]
columns = ["ts", "open", "high", "low", "close", "vol", "volCcy", "volCcyQuote", "confirm"]
df = pd.DataFrame(reversed(data), columns=columns)
df["ts"] = pd.to_datetime(df["ts"].astype("int64"), unit="ms")
for col in ["open", "high", "low", "close", "vol"]:
df[col] = df[col].astype(float)
Indicator Calculation Templates
VWAP (Volume-Weighted Average Price)
typical_price = (df["high"] + df["low"] + df["close"]) / 3
df["vwap"] = (typical_price * df["vol"]).cumsum() / df["vol"].cumsum()
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.
- 8d ago First seen · 102 lines · 40 tokens per session scan A 07738c13d374
minute-analysis is a skill published in the GitHub repository skloxo/TideTrading (10 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 1,008 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to minute-analysis, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
daily-deep-brief
A scheduled, pre-market investment briefing for Hong Kong and United States stocks. A deterministic preparation step gathers data and an agent adds judgment, while a later step validates and publishes the result.
hk-stock-analysis
A workspace-aware analysis workflow for Hong Kong-listed stocks. It retrieves prices, technical indicators, market comparisons, and news through a local data pipeline, then adds Hong Kong-specific investment context.
us-stock-analysis
Workspace-aware US stock analysis for kcn. Routes through clawock analyze-us / clawock us-quotes instead of generic web search, then layers fundamental/technical/news analysis on top. Use when user asks to analyze a US ticker (e.g. "analyze AAPL", "look at RKLB", "compare TSLA vs NVDA"), check earnings, run…
invest-analyst
A framework for producing professional investment research, including company reports, industry studies, event analysis, analyst-expectation reviews, comparisons, and market summaries. It connects several investment research workflows into one process.
invest-cli
An investment-analysis command-line tool that fetches data for Chinese stocks and funds, US stocks, and stock screening, then applies matching analysis frameworks. A command-line tool is a program operated from a terminal.
invest-fund
A Chinese-language guide for analysing investment funds, with different workflows for comparing funds, reviewing ETFs, examining new funds, and studying industry funds.