agentic-layer-assessment（Agent 层评估）

Agentic Layer Assessment

Assess agentic layer maturity using the complete 12-grade classification system from TAC Lesson 14.

When to Use

• Evaluating current agentic layer maturity
• Identifying the next grade to achieve
• Tracking progress toward Codebase Singularity
• Onboarding new team members to agentic patterns
• Planning agentic infrastructure investments

Prerequisites

• Access to the codebase's .claude/ directory
• Understanding of @adw-framework.md classification system

The Classification System

Three classes with 12 total grades:

Class 1: Foundation (In-Loop Agentic Coding)

Class 2: External Integration (Out-Loop Agentic Coding)

Class 3: Production Orchestration (Orchestrated Agentic Coding)

Assessment Process

Step 1: Scan Codebase

Check for indicators of each grade:

# Grade 1: Memory files
ls .claude/ CLAUDE.md

# Grade 2: Sub-agents
ls .claude/agents/

# Grade 3: Skills
ls .claude/skills/ || ls -d */skills/ 2>/dev/null

# Grade 4: Closed-loop patterns
grep -r "validation" .claude/commands/
grep -r "retry" .claude/commands/

# Grade 5: Templates
ls .claude/commands/ | grep -E "(chore|bug|feature)"

# Grade 6: Prompt chains
grep -r "Step 1" .claude/commands/
grep -r "Then execute" .claude/commands/

# Grade 7: Agent experts
ls .claude/commands/experts/ 2>/dev/null
find . -name "expertise.yaml"

# Grade 8 (Class 2 G1): Webhooks
find . -name "*webhook*" -o -name "*trigger*"

# Grade 9 (Class 2 G2): ADWs
ls adws/ 2>/dev/null

# Grade 10-12 (Class 3): Orchestrator
find . -name "*orchestrator*"

Step 2: Score Each Grade

For each grade, determine status:

Step 3: Calculate Current Level

Your level = highest consecutive completed grade

Example:

• Grades 1-4: ✅
• Grade 5: 🔶
• Grades 6-7: ❌

Result: Class 1 Grade 4 (solid), targeting Grade 5

Step 4: Identify Next Step

Recommend specific actions for next grade:

Output Format

## Agentic Layer Assessment Report

**Codebase:** [project name]
**Date:** [assessment date]
**Assessed by:** [model]

### Classification Summary

**Current Level:** Class [1/2/3] Grade [1-7/1-2/1-3]
**Maturity Score:** [X]/12 grades achieved

### Grade-by-Grade Assessment

| Grade | Component | Status | Evidence |
| --- | --- | --- | --- |
| C1G1 | Memory Files | ✅/🔶/❌ | [what was found] |
| C1G2 | Sub-Agents | ✅/🔶/❌ | [what was found] |
...

### Strengths

- [What's working well]

### Gaps

- [What's missing or weak]

### Recommended Next Steps

1. **Priority 1:** [Most impactful improvement]
2. **Priority 2:** [Second priority]
3. **Priority 3:** [Third priority]

### Path to Class 3

[Roadmap of remaining grades to achieve]

Assessment Checklist

• Scanned .claude/ directory structure
• Checked for memory files (CLAUDE.md)
• Searched for agent/skill definitions
• Analyzed prompt patterns (loops, chains)
• Looked for templates and classification
• Checked for expertise files
• Searched for external triggers
• Identified ADW presence
• Assessed orchestrator implementation
• Calculated maturity score
• Identified highest consecutive grade
• Recommended next steps

Key Insight

"Your agentic layer should be specialized to fit and wrap your codebase. Don't focus on reuse, focus on making these prompts great for that one codebase."

Each grade builds on the previous. Skip a grade and the foundation becomes unstable.

Anti-Patterns

Cross-References

• @adw-framework.md - Classification system details
• @agentic-layer-structure.md - Directory structure
• @zte-progression.md - Zero-touch engineering path
• @minimum-viable-agentic skill - Starting point

Version History

• v1.0.0 (2026-01-01): Initial release (Lesson 14)

Last Updated

Date: 2026-01-01 Model: claude-opus-4-5-20251101