Quick backtest a strategy on a symbol. An agent skill from marketcalls/vectorbt-backtesting-skills.

No licenceAuto-check: notesBusiness, Finance & HR

Install Backtest

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

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

GitHub CLI
$ gh skill install marketcalls/vectorbt-backtesting-skills backtest --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/backtest .claude/skills/backtest && 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
backtest
GitHub stars
208
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
484 words
Files
1
Skills in repo
6
Repo updated
First seen
Licence
None found

At a glance

Quick backtest a strategy on a symbol. An agent skill from marketcalls/vectorbt-backtesting-skills.

  • Works in 7 steps: Read the vectorbt-expert skill rules for… → Create backtesting/{strategy_name}/… → Create a .py file in… → …
  • Tasks that involve Trading and backtesting
  • SKILL.md covers Arguments, Instructions, Available Strategies and Benchmark Rules, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Backtest is an agent skill from marketcalls/vectorbt-backtesting-skills. Quick backtest a strategy on a symbol. Creates a complete .py script with data fetch, signals, backtest, stats, and plots.

Its SKILL.md is about 1.1k 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. It works with DuckDB. 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

  • “/backtest”

Requirements

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

Workflow steps

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

  1. Read the vectorbt-expert skill rules for reference patterns
  2. Create backtesting/{strategy_name}/ directory if it doesn't exist (on-demand)
  3. Create a .py file in backtesting/{strategy_name}/ named {symbol}_{strategy}_backtest.py
  4. Use the matching template from rules/assets/{strategy}/backtest.py as the starting point
  5. The script must
  6. Never use icons/emojis in code or logger output
  7. For futures symbols (NIFTY, BANKNIFTY), use lot-size-aware sizing

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
    • Write
    • Edit
    • 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

Backtest loads about 1.1k tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 484 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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.

  • NoteMentions a .env fileSKILL.md:28
    - Load `.env` from the project root using `find_dotenv()` (walks up from script dir automatically)
  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, 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 484 words (~1,150 tokens).

“Create a complete VectorBT backtest script for the user.”

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

Read the full SKILL.md on GitHub

Files

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

Open the folder on GitHubat commit 05d9e8b

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in marketcalls/vectorbt-backtesting-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Backtest 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.

Backtest compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Backtest this skillmarketcalls/vectorbt-backtesting-skills2081 repos~1.1kAutomated safety check: NotesNone
Mmr Loop Skill9600dev/mmr131—~2.6kAutomated safety check: PassCustom licence
DojoNecmttn/ax116—~1.7kAutomated safety check: PassAGPL-3.0
Tushare Datazillionare/zillionare3192 repos~2.3kAutomated safety check: PassNone
Tradingview MCPatilaahmettaner/tradingview-mcp5k—~1.3kAutomated safety check: PassMIT
Digital Oraclekomako-workshop/digital-oracle870—~5.9kAutomated safety check: PassMIT

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  • Strategy Compare

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Works with

Questions about Backtest

What does Backtest do?

Quick backtest a strategy on a symbol. An agent skill from marketcalls/vectorbt-backtesting-skills. Backtest is an agent skill from marketcalls/vectorbt-backtesting-skills. Quick backtest a strategy on a symbol.

When should I use Backtest?

Backtest fits situations like: tasks that involve Trading and backtesting.

How do I install Backtest in Claude Code?

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

How do I install Backtest in Codex?

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

Can I use Backtest 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 backtest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/backtest, .gemini/skills/backtest, .github/skills/backtest and .opencode/skills/backtest in your project.

What does Backtest need to run?

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

Does Backtest 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 Backtest safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file; 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 Backtest use?

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

How many tokens does Backtest use?

About 1.1k tokens (SKILL.md is roughly 4.6k 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 Backtest?

Skills that share tags, products or a category with Backtest: Mmr Loop Skill (9600dev/mmr, 131 stars), Dojo (Necmttn/ax, 116 stars), Tushare Data (zillionare/zillionare, 319 stars) and Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Backtest?

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.