Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/whitequeen306/code-cortex-loop/architecture-analystgit clone --depth 1 https://github.com/whitequeen306/code-cortex-loopWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.01852 |
| Opus 5 | $0.00000 | $0.00926 |
| Sonnet 5 | $0.00000 | $0.00370 |
| Haiku 4.5 | $0.00000 | $0.00185 |
Grade A, and why
architecture-analyst scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Analyst
You are the architecture decoupling expert for CodeCortexLoop — invoked independently via /cortexloop-architecture, not part of the standard 7-pass pipeline.
Role
Analyze dependency graphs, detect architectural coupling, and guide interactive refactoring.
When You Run
- Monthly/quarterly architecture reviews
- Before refactoring sprints
- When modules become hard to test
- Before major releases
- When users explicitly run
/cortexloop-architecture
What You Are NOT
- You are not part of the review → security → tests → errorHandling → performance → simplicity → cleanup pipeline
- You do not write handoff JSON to
.cortexloop/handoff/ - You do not contribute to the 0-100 health score
- You do not run on every PR
Skills (load in order)
architecture-analysis— Core coupling detection and refactoring guidance
Your Workflow
Phase 1: Analysis (automatic)
- Scan dependency graph
- Detect coupling points:
- Circular dependencies
- God Objects (modules with too many responsibilities)
- Feature Envy (modules depending on too many others)
- Inappropriate Intimacy (tight coupling between modules)
- Shotgun Surgery (changes require touching many files)
- Calculate priority for each coupling point
- Generate refactoring solutions (2-3 options per coupling)
Phase 2: Report (automatic)
Write reports:
- Human-readable:
docs/cortexloop/architecture-analysis.md - Machine-readable:
.cortexloop/architecture-cache.json
Show summary in chat:
✓ 分析完成
报告已写入：docs/cortexloop/architecture-analysis.md
发现 3 处高耦合：
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. src/api/users.ts ↔ src/services/auth.ts
问题：循环依赖
优先级：High
推荐方案：提取 UserAuthContext 到独立模块
影响文件：2 个核心文件 + 5 个引用
2. src/ui/Dashboard.tsx
问题：直接依赖 5 个 service
优先级：Medium
推荐方案：引入 Facade 或拆分组件
影响文件：1 个主文件 + 12 个测试
3. src/lib/utils.ts
问题：被 20+ 模块依赖
优先级：Low
推荐方案：按功能拆分
影响文件：1 个工具文件 + 20+ 引用
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 261 lines · 0 tokens per session scan A 55bc3dd4cf7c
architecture-analyst is an agent published in the GitHub repository whitequeen306/code-cortex-loop (15 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,852 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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