Quickly fetch data and print key backtest stats for a symbol with a default EMA crossover strategy.

No licenceAuto-check: notesBusiness, Finance & HR

Install Quick Stats

skills CLI
$ npx skills add marketcalls/vectorbt-backtesting-skills --skill quick-stats -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install marketcalls/vectorbt-backtesting-skills quick-stats --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/marketcalls/vectorbt-backtesting-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/quick-stats .claude/skills/quick-stats && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
quick-stats
GitHub stars
208
Token cost
~464 tokens
SKILL.md length
159 words
Files
1
Skills in repo
6
Repo updated
First seen
Licence
None found

At a glance

Quickly fetch data and print key backtest stats for a symbol with a default EMA crossover strategy.

  • Works in 8 steps: Fetch data from OpenAlgo (or DuckDB if… → Use OpenAlgo ta for EMA 10/20 crossover… → Clean signals with ta.exrem() (always… → …
  • Tasks that involve Trading and backtesting
  • SKILL.md covers Arguments, Instructions and Example Usage
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Quick Stats is an agent skill from marketcalls/vectorbt-backtesting-skills. Quickly fetch data and print key backtest stats for a symbol with a default EMA crossover strategy. No file creation needed - runs inline in a notebook cell or prints to console.

Its SKILL.md is about 460 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Trading and backtesting. The repository describes itself as: Agentic coding skills for backtesting trading strategies using VectorBT. Supports Indian, US, and Crypto markets with realistic transaction cost modeling, TA-Lib indicators…

When your agent uses it

  • Tasks that involve Trading and backtesting

Example prompts

  • “/quick-stats”

Requirements

  • Pre-approved tools (allowed-tools): Read, Bash, Glob, Grep

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Fetch data from OpenAlgo (or DuckDB if user provides a DB path, or yfinance as fallback)
  2. Use OpenAlgo ta for EMA 10/20 crossover by default (never VectorBT built-in); only use TA-Lib if the user explicitly says "talib"/"TA-Lib"
  3. Clean signals with ta.exrem() (always .fillna(False) before exrem)
  4. Use Indian delivery fees: fees=0.00111, fixed_fees=20
  5. Fetch NIFTY benchmark via OpenAlgo (symbol="NIFTY", exchange="NSE_INDEX")
  6. Print a compact results summary
  7. Explain key metrics in plain language for normal traders
  8. Show equity curve plot using Plotly (template="plotly_dark")

What it can do on your machine

Read from SKILL.md and the folder at commit 05d9e8b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash
    • Glob
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Quick Stats loads about 464 tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 159 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~464

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash, Glob, Grep

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 159 words (~464 tokens).

“Generate a quick inline backtest and print stats. Do NOT create a file - output code directly for the user to run or execute in a notebook.”

— opening of SKILL.md by marketcalls
name
quick-stats
allowed-tools
Read, Bash, Glob, Grep
argument-hint
[symbol] [exchange] [interval]

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/quick-stats of marketcalls/vectorbt-backtesting-skills.

Open the folder on GitHubat commit 05d9e8b

Compare with similar skills

Quick Stats next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Quick Stats compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Quick Stats this skillmarketcalls/vectorbt-backtesting-skills208—~464Automated safety check: NotesNone
Tushare Datazillionare/zillionare3212 repos~2.3kAutomated safety check: PassNone
Tradingview MCPatilaahmettaner/tradingview-mcp5k—~1.3kAutomated safety check: PassMIT
Digital Oraclekomako-workshop/digital-oracle875—~5.9kAutomated safety check: PassMIT
Polyclawchainstacklabs/polyclaw3591 repos~2kAutomated safety check: PassApache-2.0
Markdownfacioquo/stock-indicators-dotnet1.2k—~812Automated safety check: PassApache-2.0

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Questions about Quick Stats

What does Quick Stats do?

Quickly fetch data and print key backtest stats for a symbol with a default EMA crossover strategy. Quick Stats is an agent skill from marketcalls/vectorbt-backtesting-skills. Quickly fetch data and print key backtest stats for a symbol with a default EMA crossover strategy.

When should I use Quick Stats?

Quick Stats fits situations like: tasks that involve Trading and backtesting.

How do I install Quick Stats in Claude Code?

Run `npx skills add marketcalls/vectorbt-backtesting-skills --skill quick-stats -a claude-code`. Or copy the skill folder (.claude/skills/quick-stats in marketcalls/vectorbt-backtesting-skills) into .claude/skills/quick-stats in your project. Claude Code loads it when a task matches its description.

How do I install Quick Stats in Codex?

Run `npx skills add marketcalls/vectorbt-backtesting-skills --skill quick-stats -a codex`. Or copy the skill folder (.claude/skills/quick-stats in marketcalls/vectorbt-backtesting-skills) into .agents/skills/quick-stats in your project. Codex loads it when a task matches its description.

Can I use Quick Stats in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add marketcalls/vectorbt-backtesting-skills --skill quick-stats -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/quick-stats, .gemini/skills/quick-stats, .github/skills/quick-stats and .opencode/skills/quick-stats in your project.

What does Quick Stats need to run?

SKILL.md names no scripts, command-line tools or credentials: Quick Stats is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Bash, Glob, Grep.

Does Quick Stats access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Quick Stats safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Quick Stats use?

No licence was found for Quick Stats or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Quick Stats use?

About 464 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Quick Stats?

Skills that share tags, products or a category with Quick Stats: Tushare Data (zillionare/zillionare, 321 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 875 stars) and Polyclaw (chainstacklabs/polyclaw, 359 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Quick Stats?

marketcalls (a GitHub user) maintains it in marketcalls/vectorbt-backtesting-skills, which has 208 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on July 12, 2026.

Source: marketcalls/vectorbt-backtesting-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.