Add comprehensive codebase analysis

[Copilot]

Provides deep technical analysis of the Fynq agent runtime and package manager architecture.

Analysis Coverage

• Architecture: CLI, runtime, SDK, and cloud integration layers (~1,088 LOC)
• Security model: Capability-based permissions with environment variable gating
• Tech stack: Typer/Pydantic/Rich CLI, LiteLLM for model abstraction, Supabase registry
• Distribution: PyInstaller binary with embedded SDK for agent execution
• Code quality: B+ grade - clean architecture, needs tests and formal docs

Key Findings

Strengths:

• Unique npm-like package manager for AI agents
• Clean separation: fynq_cli (user-facing) vs fynq SDK (agent-facing)
• Model-agnostic via LiteLLM (GPT-4, Claude, Mistral, local Ollama)

Gaps:

• No test suite or CI validation
• Secrets stored plaintext in SQLite
• Path traversal vulnerability in fs.write_file()
• Registry only tracks single version per package

Deliverable

CODEBASE_ANALYSIS.md - 590-line technical deep-dive with architecture diagrams, security assessment, competitive analysis, and actionable recommendations for production hardening.

Original prompt

analyse this codebase

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Project	Deployment	Actions	Updated (UTC)
fynqamk	Error		Feb 4, 2026 1:22pm
fynqapm	Error		Feb 4, 2026 1:22pm