---
title: "Keep your Agents Under Control with `agent-belt`"
url: https://daily.dev/posts/keep-your-agents-under-control-with-agent-belt--0vomyref3
source_url: https://jfrog.com/blog/keep-agents-under-control-with-agent-belt
type: article
source: "JFrog"
published: 2026-05-19T13:22:43.946Z
updated: 2026-05-19T13:44:30.428Z
reading_time: 9
upvotes: 0
comments: 0
language: en
---

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# Keep your Agents Under Control with `agent-belt`

**[JFrog](https://daily.dev/sources/jfrog)** · 9 min read · 0 upvotes · 0 comments

## Summary

JFrog has open-sourced agent-belt, a CLI-based eval harness for AI coding agents. It tests agents like Claude Code, Cursor, Copilot, Codex, and others by running their actual CLIs as subprocesses against real workspaces with MCP servers wired up. Scenarios are JSON-defined multi-turn test cases with deterministic rule checks (tool sequences, file modifications, git diffs) and LLM-based scoring using a separate judge model. Key features include k-trial variance reduction, scenario families for input robustness, multi-judge consensus voting, Docker sandboxing, CI integration with exit codes, and four export formats. The tool addresses the gap where existing eval frameworks test models or wrapped functions rather than the actual agent CLI a user installs and runs.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://jfrog.com/blog/keep-agents-under-control-with-agent-belt>

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