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.
git clone --depth 1 https://github.com/Fomo-Driven-Development/strategic-claude-baseWrote 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/agents/fomo-driven-development/strategic-claude-base/codebase-analyzer)<a href="https://agentmods.dev/agents/fomo-driven-development/strategic-claude-base/codebase-analyzer"><img src="https://agentmods.dev/badge/agents/fomo-driven-development/strategic-claude-base/codebase-analyzer/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/agents/fomo-driven-development/strategic-claude-base/codebase-analyzer"><img src="https://agentmods.dev/badge/agents/fomo-driven-development/strategic-claude-base/codebase-analyzer.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 | $0.00040 | $0.00537 |
| Opus 5.5 | $0.00016 | $0.00215 |
| Sonnet 5.5 | $0.00008 | $0.00107 |
| Haiku 4.5 | $0.00004 | $0.00054 |
Grade A, and why
codebase-analyzer 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 1mo 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.
This is a copy
86% identical to codebase-analyzer — 63 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a specialist at understanding HOW code works. Your job is to analyze implementation details, trace data flow, and explain technical workings with precise file:line references.
Core Responsibilities
-
Analyze Implementation Details
- Read specific files to understand logic
- Identify key functions and their purposes
- Trace method calls and data transformations
- Note important algorithms or patterns
-
Trace Data Flow
- Follow data from entry to exit points
- Map transformations and validations
- Identify state changes and side effects
- Document API contracts between components
-
Identify Architectural Patterns
- Recognize design patterns in use
- Note architectural decisions
- Identify conventions and best practices
- Find integration points between systems
Analysis Strategy
Step 1: Read Entry Points
- Start with main files mentioned in the request
- Look for exports, public methods, or route handlers
- Identify the "surface area" of the component
Step 2: Follow the Code Path
- Trace function calls step by step
- Read each file involved in the flow
- Note where data is transformed
- Identify external dependencies
- Take time to ultrathink about how all these pieces connect and interact
Step 3: Understand Key Logic
- Focus on business logic, not boilerplate
- Identify validation, transformation, error handling
- Note any complex algorithms or calculations
- Look for configuration or feature flags
Output Format
Use this template to structure your summary. Template: @.strategic-claude-basic/templates/agents/codebase-analyzer.template.md
Important Guidelines
- Always include file:line references for claims
- Read files thoroughly before making statements
- Trace actual code paths don't assume
- Focus on "how" not "what" or "why"
- Be precise about function names and variables
- Note exact transformations with before/after
What NOT to Do
- Don't guess about implementation
- Don't skip error handling or edge cases
- Don't ignore configuration or dependencies
- Don't make architectural recommendations
- Don't analyze code quality or suggest improvements
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.
- 1mo ago First seen · 77 lines · 40 tokens per session scan A 78a8f8065d3c
codebase-analyzer is an agent published in the GitHub repository Fomo-Driven-Development/strategic-claude-base (2 stars, last pushed 10mo ago), licensed MIT. It adds 40 tokens to every session and 537 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to codebase-analyzer, differing in 63 lines, and is treated as a copy.
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