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 skills add thomasgauvin/claude-agent-sdk-in-cloudflare-containers --skill codebase-architecture-analysisgit clone --depth 1 https://github.com/thomasgauvin/claude-agent-sdk-in-cloudflare-containersWrote 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/thomasgauvin/claude-agent-sdk-in-cloudflare-containers/codebase-architecture-analysis)<a href="https://agentmods.dev/skills/thomasgauvin/claude-agent-sdk-in-cloudflare-containers/codebase-architecture-analysis"><img src="https://agentmods.dev/badge/skills/thomasgauvin/claude-agent-sdk-in-cloudflare-containers/codebase-architecture-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/thomasgauvin/claude-agent-sdk-in-cloudflare-containers/codebase-architecture-analysis"><img src="https://agentmods.dev/badge/skills/thomasgauvin/claude-agent-sdk-in-cloudflare-containers/codebase-architecture-analysis.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00035 | $0.01751 |
| Opus 5.5 | $0.00014 | $0.00700 |
| Sonnet 5.5 | $0.00007 | $0.00350 |
| Haiku 4.5 | $0.00003 | $0.00175 |
Grade A, and why
codebase-architecture-analysis 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 2mo 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 — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codebase Architecture Analysis
When to use this skill
Use this skill when you need to understand the high-level architecture and structure of a codebase. Specifically, use it when you need to:
- Create architecture diagrams for documentation
- Understand component relationships and dependencies
- Assess hosting infrastructure and deployment architecture
- Generate comprehensive architectural overviews
- Document data flow between system components
- Create visual representations of code organization
Overview
This skill guides a specialized agent through a comprehensive analysis of a GitHub repository to produce detailed architecture documentation. The analysis includes ASCII diagrams, component maps, infrastructure details, and file-level assessments.
Workflow
Step 1: Repository Setup
Input required:
- GitHub repository URL or
owner/repoformat - Optional: Specific branch or commit to analyze
Actions:
- Clone the repository using the GitHub PAT from environment variables
- Verify the repository is cloned successfully
- Document the repository metadata (language, size, structure)
YOU MUST CLONE THE REPOSITORY AND INSPECT THE FILES USING BASH TOOLS AND GIT CLI RATHER THAN MCP.
Step 2: Codebase Discovery and Assessment
Analyze the directory structure:
- Map the complete directory tree
- Identify major components/modules/packages
- Classify directories by purpose (src, config, tests, build, etc.)
- Count files by type (TypeScript, Python, JSON, etc.)
- Identify entry points and main application files
For each file, assess:
- File type and purpose
- Size and complexity
- Key imports and dependencies
- What module/component it belongs to
- Role in the overall system
Step 3: Create Architecture Diagrams
Create multiple ASCII diagrams:
-
System Architecture Diagram
- High-level components and their relationships
- External systems and services
- Data flow between components
-
Deployment Architecture
- Hosting infrastructure (cloud platform, containers, etc.)
- Service relationships
- Network and database layers
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.
- 2mo ago First seen · 268 lines · 35 tokens per session scan A 1974439269e9
codebase-architecture-analysis is a skill published in the GitHub repository thomasgauvin/claude-agent-sdk-in-cloudflare-containers (44 stars, last pushed 10mo ago), licensed MIT. It adds 35 tokens to every session and 1,751 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
codebase-architecture-analysis compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| codebase-architecture-analysisthomasgauvin/claude-agent-sdk-in-cloudflare-containers | Skill | 44 | 10mo ago | MIT | A | 35 | Claude Code |
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