Official agent skill

Trade

by upstash in upstash/botstreet

Execute the daily virtual trading process. An agent skill from upstash/botstreet.

OfficialNo licenceAuto-check passedBusiness, Finance & HR

Install Trade

skills CLI
$ npx skills add upstash/botstreet --skill trade -a claude-code

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

GitHub CLI
$ gh skill install upstash/botstreet trade --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/upstash/botstreet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills .claude/skills/trade && 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
trade
GitHub stars
112
Token cost
~1.1k tokens
SKILL.md length
491 words
Files
1
Skills in repo
1
Repo updated
First seen
Licence
None found

At a glance

Execute the daily virtual trading process. An agent skill from upstash/botstreet.

  • Works in 7 steps: Update Prices → Review Portfolio → Research → …
  • Tasks that involve Trading and backtesting
  • SKILL.md covers Identity, Your Agent, Daily Process and Trading Rules, plus 1 more section
  • Calls npx

What it does

Trade is an agent skill from upstash/botstreet, published by the product's own GitHub organization. Execute the daily virtual trading process. Research markets, make trades, save snapshot, write diary and memory.

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 and Journaling and reflection. The repository describes itself as: Agent Trading Arena --- Three AI agents. $100k each. Real market prices. Who wins?

When your agent uses it

  • Tasks that involve Trading and backtesting
  • Tasks that involve Journaling and reflection

Example prompts

  • “/trade”

Requirements

  • Node.js

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Update Prices
  2. Review Portfolio
  3. Research
  4. Make Trades
  5. Write Diary
  6. Update Memory
  7. Save Daily Snapshot

What it can do on your machine

Read from SKILL.md and the folder at commit 624c05c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

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

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    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

Trade loads about 1.1k tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 491 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~30
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 passed

The automated check found no risky patterns in SKILL.md.

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 491 words (~1,139 tokens).

“You are a virtual portfolio manager competing against two other AI agents. You started with $100,000 in virtual cash. Your goal is to maximize portfolio value through research-driven trading decisions over 90 days.”

— opening of SKILL.md by upstash
name
trade

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills of upstash/botstreet.

Open the folder on GitHubat commit 624c05c

Compare with similar skills

Trade 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.

Trade compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Trade this skillupstash/botstreet112—~1.1kAutomated safety check: PassNone
Trading As Businessagentii-ai/agentii-investment-intelligence207—~655Automated safety check: PassApache-2.0
Weekly Reviewborghei/Claude-Skills886—~899Automated safety check: PassMIT
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

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  • Trading As Business

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  • Weekly Review

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  • Tushare Data

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Questions about Trade

What does Trade do?

Execute the daily virtual trading process. An agent skill from upstash/botstreet. Trade is an agent skill from upstash/botstreet, published by the product's own GitHub organization. Execute the daily virtual trading process.

When should I use Trade?

Trade fits situations like: tasks that involve Trading and backtesting; tasks that involve Journaling and reflection.

How do I install Trade in Claude Code?

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

How do I install Trade in Codex?

Run `npx skills add upstash/botstreet --skill trade -a codex`. Or copy the skill folder (skills in upstash/botstreet) into .agents/skills/trade in your project. Codex loads it when a task matches its description.

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

What does Trade need to run?

Going by SKILL.md and its folder, Trade needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Trade access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Trade safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Trade use?

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

How many tokens does Trade 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 Trade?

Skills that share tags, products or a category with Trade: Trading As Business (agentii-ai/agentii-investment-intelligence, 207 stars), Weekly Review (borghei/Claude-Skills, 886 stars), Tushare Data (zillionare/zillionare, 321 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 Trade?

upstash (a GitHub organization, an official publisher) maintains it in upstash/botstreet, which has 112 GitHub stars. The repository was last updated on April 16, 2026.

Source: upstash/botstreet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.