ihabkhaled/AI-Psychiatry

AI-Psychiatry is a Claude plugin that gives AI coding agents an executive-function layer to detect and control attention drift, overthinking, recursive reasoning, compulsive verification, scope drift, retry loops, deadlocks, livelocks, context waste, and failure to stop after completion.

3Stars on the repository
65Mods indexed here, across every type
20d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

ihabkhaled/AI-Psychiatry

Instructions file GitHub Copilot

Copilot instructions for ihabkhaled/AI-Psychiatry: System, platform, and developer instructions take precedence; then repository-specific rules; then this framework. Before work, read .ai/bootstrap/boot.md and .ai/rules/00-master-rules.md. Load focused rules and skills only when triggered.

not rated 3 20d ago A 78 tokens original MIT

ihabkhaled/AI-Psychiatry

Instructions file CodexOpenCode

AGENTS.md instructions for ihabkhaled/AI-Psychiatry: System, platform, and developer instructions take precedence; then repository-specific rules; then this framework. Before work, read .ai/bootstrap/boot.md and .ai/rules/00-master-rules.md. Load focused rules and skills only when triggered.

not rated 3 20d ago A 78 tokens copy · 100% MIT

ihabkhaled/AI-Psychiatry

Instructions file

Claude Code instructions for ihabkhaled/AI-Psychiatry: System, platform, and developer instructions take precedence; then repository-specific rules; then this framework. Before work, read .ai/bootstrap/boot.md and .ai/rules/00-master-rules.md. Load focused rules and skills only when triggered.

not rated 3 20d ago A 78 tokens copy · 100% MIT

ihabkhaled/AI-Psychiatry

Instructions file Gemini CLI

Gemini CLI instructions for ihabkhaled/AI-Psychiatry: System, platform, and developer instructions take precedence; then repository-specific rules; then this framework. Before work, read .ai/bootstrap/boot.md and .ai/rules/00-master-rules.md. Load focused rules and skills only when triggered.

not rated 3 20d ago A 78 tokens copy · 100% MIT

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