dunetrace

Name: dunetrace Review
Item: dunetrace
Rating: 2.3
Author: Aaron Matthews

Skill Documents & Content Poor

Real-time monitoring of production AI agents. No raw content transmitted.

Monitor Claude agent performance metrics and error rates in production systems
Track user interactions with AI agents without exposing sensitive data to third parties
Alert engineering teams when deployed agents degrade or behave unexpectedly in real time

55 starsFreeQuick setup

Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Why it matters

Production AI agents require visibility into behavior and failure modes without exposing sensitive data. Dunetrace closes the observability gap for teams running autonomous systems at scale, reducing undetected errors and compliance risk.

Best for

Engineering teams deploying autonomous AI agents who need production monitoring without data exfiltration concerns.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/dunetrace/dunetrace

By dunetrace

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 dunetrace/dunetrace

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

CostFree

Trust Signals Auto-scanned

Stars55Last updated2026-06-27Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-27 · scanner v1

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0 mentions across 0 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 55 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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

1/5

Versatility

3/5

Reliability

3/5

Security

3/5

Overall score2.30 / 5.00 PoorEvaluatedJun 2026

Scored from trust signals (evidence-eval-v1): 55 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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