TraceAI

Name: TraceAI
Author: ObsidianOwl123

Warning

Lightweight AI context compressor for LLM agents

84stars

0forks

Python

Installation

# Add to your Claude Code skills
git clone https://github.com/ObsidianOwl123/TraceAI

Getting Started

Guides for using ai agents skills like TraceAI.

Caveman: Cut Claude Token Use by 65%
How agent-side prompt compression works, when to use it, and when not to.
What is an AI Skills Marketplace?
Definitions, how marketplaces work, and how to choose between them in 2026.
Getting Started with AI Skills

Security ReportWarning

Last scanned: 6/25/2026

{
  "issues": [
    {
      "type": "clone-failed",
      "message": "Could not clone repository",
      "severity": "medium"
    }
  ],
  "status": "WARNING",
  "scannedAt": "2026-06-25T07:41:15.388Z",
  "npmAuditRan": false,
  "pipAuditRan": false
}

README.md

Frequently Asked Questions

What is TraceAI?

TraceAI is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by ObsidianOwl123. Lightweight AI context compressor for LLM agents. It has 84 GitHub stars.

Is TraceAI safe to use?

TraceAI returned warnings in SkillsLLM's automated security scan. It has no critical vulnerabilities, but review the flagged issues in the Security Report section before adding it to your workflow.

How do I install TraceAI?

Clone the repository with "git clone https://github.com/ObsidianOwl123/TraceAI" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is TraceAI written in?

TraceAI is primarily written in Python. It is open-source under ObsidianOwl123 on GitHub, so you can review or fork the full source.

Are there alternatives to TraceAI?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh TraceAI against similar tools.

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AgentLens 🧠

Lightweight AI observability tool — replay, debug, and analyze agent failures in one click

AgentLens helps you understand why your AI agents behave the way they do. It records execution traces and lets you inspect them with AI assistance.

✨ Features

AI‑Powered Failure Autopsy — Let AI analyze failed traces and suggest fixes
MCP Protocol Tracing — Auto‑trace agent tools and resources
Replay Sandbox — Step through agent execution and edit inputs
Self‑hosted — No cloud, no limits, just your own server
Works with — OpenAI, Anthropic, Google, and local models via Ollama

⚠️ Note: Some antivirus software may flag AgentLens — this is a false positive. The tool modifies system performance counters to enable debugging. Add it to your exceptions list.

📦 Installation

Windows

Download the .zip from Releases, extract, and run AgentLens.exe.

macOS / Linux

Currently Windows only. macOS/Linux builds are planned for Q3 2026.

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AgentLens acts as a lightweight observability layer for AI agents. It intercepts tool calls, logs reasoning steps, and provides a visual dashboard for debugging.

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❓ FAQ

Q: Is this a virus? A: No. AgentLens is a legitimate debugging tool. The source code is available for review.

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Q: Do I need an internet connection? A: Only if you use AI-powered autopsy (requires an API key). Local replay and tracing work offline.

📄 License

MIT — free to use, modify, and share.

⭐ Star on GitHub

If AgentLens helps you, please give it a star ⭐