blave-agent

Name: blave-agent Review
Item: blave-agent
Rating: 3.0
Author: Aaron Matthews

Skill Infrastructure Usable

Works inClaude Code

Usable Scanned — metadata only

Reduces friction between strategy conception and live execution for quantitative teams.

Quant infrastructure for AI agents — a free, open-source desktop workspace for macOS and Windows where your Claude Code or Codex turns a trading idea into a backtested strategy and runs it live.

Ask Claude to backtest a trading strategy idea against historical market data quickly.
Generate executable trading code from natural language descriptions of your strategy logic.
Automate live trading execution once your backtested strategy passes performance requirements.

166 starsApache-2.0 (commercial OK)FreeQuick setup

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Reduces friction between strategy conception and live execution for quantitative teams. Eliminates manual infrastructure setup, allowing traders to validate ideas against historical data before deploying capital.

Best for

Quantitative trading teams and algorithmic traders using Claude to prototype, backtest, and deploy trading strategies efficiently.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/Blave-TW/blave-agent

By Blave-TW

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.

Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.

Command

claude plugins install Blave-TW/blave-agent

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Backtest a trading strategy idea against historical market data quickly

CostFree

Trust Signals Auto-scanned

Stars166Contributors1Last updated2026-10-24LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-24 · scanner v1

Community Pulse Quiet

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 110 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
Single maintainer. Consider the risk if this person stops maintaining the project.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

3/5

Versatility

3/5

Reliability

3/5

Security

3/5

Overall score3.00 / 5.00 UsableEvaluatedOct 2026

Scored from trust signals (evidence-eval-v1): 110 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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