Agent Architecture Audit

Generated April 13, 2026 · C:\Users\benja\Desktop\Continuous-Claude-v3\opc

Step 1Current State Step 2Recommendations Step 3Projected Results

Also check: For context efficiency (memory visibility, rule bloat, token budget), run the Workspace Optimizer — pip install claude-workspace-optimizer

Architecture Score (0-100)

LOW

Autonomy Risk

42%

Observability Coverage

4/4

Problem Types Covered

Issues Found

Address P0 issues before running agents autonomously. Need help implementing fixes? AI consulting is available.

CRITICAL No agent tracing hook (PostToolUse:Task). Every spawned agent is a black box — you cannot debug failures or audit behavior. -20 points

WARNING Observability coverage is 41.7%. Less than half of recommended hooks are configured. -10 points

INFO 1 rule file pairs share significant content (100% overlap on highest pair). Consider consolidating. -2 points

CRITICAL Potential secrets detected in workspace files (C:\Users\benja\Desktop\Continuous-Claude-v3\opc\.env). API keys or tokens in .claude/ files could be committed to version control. -15 points

Autonomy & Permissions

multi-agent systems without deny rules can delete files, push code, and send messages without confirmation. Start constrained, earn autonomy incrementally.

Default mode	default
Allow rules	133
Deny rules	10
Ask rules (approval gates)	0 — no confirmations required
Autonomy risk	LOW

Overly Broad Allow Rules

Rule	Risk
`Glob`	No path/command filter
`Edit`	No path/command filter
`Write`	No path/command filter
`Bash`	No path/command filter
`Read`	No path/command filter
`Grep`	No path/command filter

Observability & Tracing

If you don't have traces, you can't debug your system. Every multi-step agent needs PostToolUse hooks and session logging or failures are invisible.

1/2 critical · 1/2 important · 5 hooks configured

42% weighted coverage

Hook	Event	Priority	Status
Agent Tracing Records inputs, outputs, and tool calls for every spawned agent.	`PostToolUse:Task`	CRITICAL	✗ Missing
Session Logging Logs what changed when Claude finishes — file edits, commands run, decisions made.	`Stop`	CRITICAL	✓ Present
Memory Preservation Captures key context before compaction so important decisions aren't silently lost.	`PreCompact`	IMPORTANT	✓ Present
Session Init / Auto-Recall Primes context at session start (e.g., auto-recall relevant learnings from memory).	`SessionStart`	IMPORTANT	✗ Missing
File Change Audit Records every file write and edit for change tracking and rollback.	`PostToolUse:Write\|Edit`	USEFUL	✗ Missing
Command Logging Logs all Bash commands executed for debugging and security review.	`PostToolUse:Bash`	USEFUL	✗ Missing

Rule Architecture

Every LLM technique solves one of four problems: domain gaps, context limits, hallucinations, or control. Gaps here mean Claude can silently fail in those modes.

Every LLM technique solves one of four problems. Your rules should cover all four.

Domain Knowledge Gaps

Rules that give Claude project-specific knowledge (memory, RAG, docs)

✓ Covered

Rules: .claude/rules/team-knowledge.md, .claude/rules/director\knowledge-curation.md, .claude/rules/director\org-recall.md

Context Window Limits

Rules that manage what survives session boundaries (handoffs, compaction)

✓ Covered

Rules: ~/.claude/rules/code-documentation.md, ~/.claude/rules/continuous-claude-access.md, ~/.claude/rules/cross-terminal-db.md

Hallucinations

Rules that enforce verification before asserting facts about the codebase

✓ Covered

Rules: .claude/rules/dockerize-services.md, .claude/rules/director\knowledge-curation.md, ~/.claude/rules/api-key-management.md

Difficulty of Control

Rules that gate destructive actions and enforce approval workflows

✓ Covered

Rules: .claude/rules/dockerize-services.md, .claude/rules/director\knowledge-curation.md, ~/.claude/rules/claim-verification.md

Overlapping Rule Pairs

These files share significant vocabulary and may issue conflicting instructions.

Rule A	Rule B	Overlap	Shared terms
`.claude/rules/team-knowledge.md`	`~/.claude/rules/team-knowledge.md`	100%	across, activity, architecture, auth, auto

Agent Setup

Production multi-agent systems use specialized agents, RAG memory, and explicit orchestration rules rather than a generalist single-agent loop.

Memory / RAG system	✓ Present
Recall script	✓ Present
Spawner / skills library	✓ Present
Specialized agents	✓ scout, oracle, kraken, architect, phoenix, spark, arbiter, sleuth, validator, debug-agent, subagent
Orchestrator pattern	✓ Delegation pattern found
Memory entries	38 lines
MCP servers	✓ 7 configured

⚠ Potential Secrets Detected

The following files may contain API keys, tokens, or passwords. Remove secrets from workspace files and use environment variables instead.

File	Pattern Type
`.env`	Plaintext password

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