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 skills/loerei/chronicle-mcp/improve-codebase-architecturenpx skills add loerei/chronicle-mcp --skill improve-codebase-architecturegit clone --depth 1 https://github.com/loerei/chronicle-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/loerei/chronicle-mcp/improve-codebase-architecture)<a href="https://agentmods.dev/skills/loerei/chronicle-mcp/improve-codebase-architecture"><img src="https://agentmods.dev/badge/skills/loerei/chronicle-mcp/improve-codebase-architecture.svg" alt="Measured on agentmods" height="20"></a>What 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 5.1 | $0.00025 | $0.00681 |
| Opus 5 | $0.00013 | $0.00341 |
| Sonnet 5 | $0.00005 | $0.00136 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
improve-codebase-architecture 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 5d 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Improve Codebase Architecture
Surface architectural friction and propose deepening opportunities to transform shallow modules into deep ones.
Directives
- Architecture Vocabulary: MUST use exact terms from
codebase-design(module, interface, depth, seam, adapter, leverage, locality); NEVER substitute component, service, API, boundary. - Domain Terms & ADRs: MUST consult
CONTEXT.mdfor domain terminology anddocs/adr/for existing architectural decisions before scanning. - Temp Report Generation: MUST write the visual HTML report to the OS temporary directory (
$TMPDIRor%TEMP%) with filenamearchitecture-review-<timestamp>.html. NEVER write review HTML files into the repo. - Visual Centricity: Every candidate in the report MUST have side-by-side Before/After diagrams per HTML-REPORT.md.
Workflow
1. Scope & Explore
- Prioritize Hot Spots: Walk recent commit history (
git log --oneline) to identify high-churn files, or follow user-specified target modules. - Inspect Friction Points:
- Modules with shallow interfaces (pass-through wrappers).
- Tightly-coupled modules leaking across seams.
- Hard-to-test areas or pure functions extracted without caller locality.
- Apply the Deletion Test: If deleting a module concentrates complexity in one place, it is a viable deepening candidate.
2. Generate HTML Report
- Write self-contained HTML report with Tailwind and Mermaid CDNs per HTML-REPORT.md.
- Structure each candidate card:
- Files: Involved source files.
- Problem & Solution: 1-sentence explanations.
- Wins: Concise bullets (locality, leverage, test surface).
- Before / After Diagram: Visual representation of shallowness vs deepening.
- Recommendation Badge:
Strong(emerald),Worth exploring(amber), orSpeculative(slate).
- Open report in browser (
start <path>on Windows,open <path>on macOS,xdg-open <path>on Linux). - Present top recommendation and ask user which candidate to explore.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 52 lines · 25 tokens per session scan A 018daa73aa78
improve-codebase-architecture is a skill published in the GitHub repository loerei/chronicle-mcp (0 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 681 once invoked, about $0.0001 per session on Opus 5. 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 2026-08-31.
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