Environment Setup
Norman-bury/research-writing-skill
A skill your agent uses when Python environment setup is needed for data visualization or conda installation is required
Set up the Python backtesting environment. An agent skill from marketcalls/vectorbt-backtesting-skills.
Install Setup
$ npx skills add marketcalls/vectorbt-backtesting-skills --skill setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install marketcalls/vectorbt-backtesting-skills setup --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/marketcalls/vectorbt-backtesting-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/setup .claude/skills/setup && rm -rf skills-srcUse ~/.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/
Install the "setup" agent skill from https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/setup into .claude/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/setupType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add marketcalls/vectorbt-backtesting-skills --skill setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install marketcalls/vectorbt-backtesting-skills setup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marketcalls/vectorbt-backtesting-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/setup .agents/skills/setup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "setup" agent skill from https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/setup into .agents/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add marketcalls/vectorbt-backtesting-skills --skill setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install marketcalls/vectorbt-backtesting-skills setup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marketcalls/vectorbt-backtesting-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/setup .cursor/skills/setup && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "setup" agent skill from https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/setup into .cursor/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/marketcalls/vectorbt-backtesting-skills.git --path .claude/skills/setup--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add marketcalls/vectorbt-backtesting-skills --skill setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install marketcalls/vectorbt-backtesting-skills setup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marketcalls/vectorbt-backtesting-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/setup .gemini/skills/setup && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "setup" agent skill from https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/setup into .gemini/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install marketcalls/vectorbt-backtesting-skills setupInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add marketcalls/vectorbt-backtesting-skills --skill setup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/marketcalls/vectorbt-backtesting-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/setup .github/skills/setup && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "setup" agent skill from https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/setup into .github/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add marketcalls/vectorbt-backtesting-skills --skill setup -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install marketcalls/vectorbt-backtesting-skills setup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marketcalls/vectorbt-backtesting-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/setup .opencode/skills/setup && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "setup" agent skill from https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/setup into .opencode/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
setup- GitHub stars
- 208
- Token cost
- ~2k tokens
- SKILL.md length
- 786 words
- Files
- 1
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- None found
At a glance
Set up the Python backtesting environment. An agent skill from marketcalls/vectorbt-backtesting-skills.
- Works in 8 steps: Detect Operating System → Create Virtual Environment → TA-Lib System Dependency (Optional) → …
- Tasks that involve Trading and backtesting
- SKILL.md covers Arguments, Steps and Important Notes
- Calls pip, make and python; reaches prdownloads.sourceforge.net; needs OPENALGO_API_KEY and CRYPTO_API_KEY
What it does
Setup is an agent skill from marketcalls/vectorbt-backtesting-skills. Set up the Python backtesting environment. Detects OS, creates virtual environment, installs dependencies (openalgo, ta-lib, vectorbt, plotly), and creates the backtesting folder structure.
Its SKILL.md is about 2k 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, Data visualization and File organization. It works with Python, Plotly, Linux and macOS. 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
- Tasks that involve Data visualization
- Tasks that involve File organization
Example prompts
- “/setup”
Requirements
- Python 3
- A credential in OPENALGO_API_KEY
- A credential in CRYPTO_API_KEY
- Pre-approved tools (allowed-tools): Bash, Read, Write, Glob, AskUserQuestion
Workflow steps
8 steps, taken from the step headings in SKILL.md.
- Detect Operating System
- Create Virtual Environment
- TA-Lib System Dependency (Optional)
- Install Python Packages
- Create Backtesting Folder
- Configure .env File
- Verify Installation
- Print Summary
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:
BashReadWriteGlobAskUserQuestion
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
pipmakepythonbrewapt-getwgetpython3yum
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
prdownloads.sourceforge.net
Also links to:
github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
OPENALGO_API_KEYCRYPTO_API_KEYCRYPTO_SECRET_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Setup loads about 2k tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 786 words of instructions outside code blocks.
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.
- NoteRuns commands with sudoSKILL.md:72
sudo apt-get update - NoteRuns commands with sudoSKILL.md:73
sudo apt-get install -y build-essential wget - NoteRuns commands with sudoSKILL.md:79
sudo make install - NoteRuns commands with sudoSKILL.md:86
sudo yum groupinstall -y "Development Tools" - NoteRuns commands with sudoSKILL.md:92
sudo make install - NoteMentions a .env fileSKILL.md:126
### Step 6: Configure .env File - NoteMentions a .env fileSKILL.md:138
If the user provides a key, store it in `.env` - NoteMentions a .env fileSKILL.md:148
sk for API key and secret key, store in `.env` - NoteMentions a .env fileSKILL.md:149
- If no, leave them blank in `.env` - NoteMentions a .env fileSKILL.md:151
**6f. Write the `.env` file** in the project root directory. Use this template, filling in any keys/paths the user provi
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 786 words (~1,978 tokens).
“Set up the complete Python backtesting environment for VectorBT + OpenAlgo.”
- name
- setup
- allowed-tools
- Bash, Read, Write, Glob, AskUserQuestion
- argument-hint
- [python-version]
Files
Just SKILL.md in .claude/skills/setup of marketcalls/vectorbt-backtesting-skills.
Open the folder on GitHubat commit 05d9e8b
Compare with similar skills
Setup 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Setup this skillmarketcalls/vectorbt-backtesting-skills | 208 | — | ~2k | Automated safety check: Notes | None | |
| Environment SetupNorman-bury/research-writing-skill | 3.4k | — | ~840 | Automated safety check: Pass | MIT | |
| Rename Pdfsrealspqrk/autorename-pdf | 122 | — | ~541 | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 319 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Kalshi Traderyanfrigo/kalshi-ai-trading-bot | 612 | — | ~3.4k | Automated safety check: Pass | MIT | |
| Polymarket Tennislivetennisapi/livetennisapi-mcp | 152 | — | ~3k | Automated safety check: Pass | MIT |
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Questions about Setup
What does Setup do?
Set up the Python backtesting environment. An agent skill from marketcalls/vectorbt-backtesting-skills. Setup is an agent skill from marketcalls/vectorbt-backtesting-skills. Set up the Python backtesting environment.
When should I use Setup?
Setup fits situations like: tasks that involve Trading and backtesting; tasks that involve Data visualization; tasks that involve File organization.
How do I install Setup in Claude Code?
Run `npx skills add marketcalls/vectorbt-backtesting-skills --skill setup -a claude-code`. Or copy the skill folder (.claude/skills/setup in marketcalls/vectorbt-backtesting-skills) into .claude/skills/setup in your project. Claude Code loads it when a task matches its description.
How do I install Setup in Codex?
Run `npx skills add marketcalls/vectorbt-backtesting-skills --skill setup -a codex`. Or copy the skill folder (.claude/skills/setup in marketcalls/vectorbt-backtesting-skills) into .agents/skills/setup in your project. Codex loads it when a task matches its description.
Can I use Setup 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 setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/setup, .gemini/skills/setup, .github/skills/setup and .opencode/skills/setup in your project.
What does Setup need to run?
Going by SKILL.md and its folder, Setup needs the command-line tools its instructions call (pip, make, python, brew, apt-get and wget) and credentials named OPENALGO_API_KEY, CRYPTO_API_KEY and CRYPTO_SECRET_KEY. Our summary lists: Python 3; A credential in OPENALGO_API_KEY; A credential in CRYPTO_API_KEY. Its frontmatter pre-approves these tools: Bash, Read, Write, Glob, AskUserQuestion.
Does Setup access the network?
SKILL.md names 2 domains. In commands or code: prdownloads.sourceforge.net; the agent is likely to contact it when it follows the instructions. As links in the text: github.com. This is read from the text; nothing was executed.
Is Setup safe to install?
Our automated static check of SKILL.md found notes only (runs commands with sudo; mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Setup use?
No licence was found for Setup or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Setup use?
About 2k tokens (SKILL.md is roughly 7.9k 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 Setup?
Skills that share tags, products or a category with Setup: Environment Setup (Norman-bury/research-writing-skill, 3.4k stars), Rename Pdfs (realspqrk/autorename-pdf, 122 stars), Tushare Data (zillionare/zillionare, 319 stars) and Kalshi Trade (ryanfrigo/kalshi-ai-trading-bot, 612 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Setup?
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.