Not-Diamond

Not-Diamond / self-care

Public

Agent trace analysis and context remediation plugin for Claude Code. Detects quality issues in your AI agent traces — goal drift, hallucinations, missed actions, and more.

agent-evaluation ai-agents claude-code llm observability
16
0
100% credibility
Found Apr 15, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Self-Care is a plugin that analyzes logs from AI agents to detect common failure patterns, generates detailed reports, and applies automatic fixes to improve agent reliability.

How It Works

1
🔍 Discover Self-Care

You hear about Self-Care, a helpful tool that spots problems in your AI assistants' work and suggests easy fixes.

2
📥 Add and Install

You add it from the marketplace and install it with a simple command, getting it ready in your workspace.

3
🔗 Connect Your Records

You link it to where your AI assistants' activity logs are stored, so it can review their past sessions.

4
⚡ Run the Check

You start the analysis, and it quickly scans your logs to find issues like forgotten steps or wrong info.

5
📊 Review the Report

You open the clear report that lists problems, explains what went wrong, and offers ready-to-use fixes.

6
🛠️ Apply Smart Fixes

You preview and approve the changes, letting it update your AI instructions automatically for better results.

7
⏰ Set Up Ongoing Watch

You turn on automatic checks to keep monitoring new sessions and catch issues early.

✅ AI Assistants Improved

Your AI helpers now stay on track, follow instructions perfectly, and deliver reliable results every time.

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AI-Generated Review

What is self-care?

Self-Care is a JavaScript plugin for Claude Code that scans agent traces from LangSmith, LangFuse, or local JSON files, detecting 14 quality issues like goal drift, hallucinations, missed actions, and tool failures. It generates triage reports with evidence, severity ratings, and proposed fixes, classifying cases as auto-fixable or manual-review. Run it via commands like `/self-care:run` or `/self-care:init` to analyze agent github claude traces and enable continuous monitoring.

Why is it gaining traction?

It auto-remediates issues by previewing and applying targeted edits to prompts and configs, going beyond basic agent trace analysis or visualization tools. Features like scheduled autosync, customizable exclusions, and agent context descriptions make it hook for agent trace github workflows, standing out from generic agent github action setups. Developers get actionable insights without manual trace digging, even integrating with agent github copilot vscode flows.

Who should use this?

AI agent builders using Claude Code for customer support bots or multi-step tasks, tired of debugging subtle drifts in LangSmith traces. Teams needing agent traceability in agent github code repos, especially with agent github copilot cli or intellij integrations. Suited for devs monitoring production agents via agent trace lego-like patterns, skipping noisy false positives.

Verdict

Grab it if you're deep in Claude Code agents—quick setup and auto-fixes deliver real value despite 16 stars and 1.0% credibility score. Early-stage with strong docs, but test thoroughly before prod; maturity will improve with more agent github copilot reddit buzz.

(198 words)

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