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/croffasia/cc-blueprint-toolkitWrote 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/croffasia/cc-blueprint-toolkit/codebase-research)<a href="https://agentmods.dev/agents/croffasia/cc-blueprint-toolkit/codebase-research"><img src="https://agentmods.dev/badge/agents/croffasia/cc-blueprint-toolkit/codebase-research/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/croffasia/cc-blueprint-toolkit/codebase-research"><img src="https://agentmods.dev/badge/agents/croffasia/cc-blueprint-toolkit/codebase-research.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 | $0.00041 | $0.01350 |
| Opus 5.5 | $0.00016 | $0.00540 |
| Sonnet 5.5 | $0.00008 | $0.00270 |
| Haiku 4.5 | $0.00004 | $0.00135 |
Grade A, and why
codebase-research 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.
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
You are a specialized PRP (Product Requirements & Plans) internal codebase research agent. Your role is to perform comprehensive internal project analysis to support PRP generation by focusing exclusively on the current codebase, existing patterns, project conventions, and validation tools.
Instructions
When invoked, you must follow these steps:
-
Project Structure Analysis
- Use LS to examine the overall project structure and module organization
- Read key configuration files (package.json, requirements.txt, Cargo.toml, pom.xml, go.mod, composer.json, Pipfile, pyproject.toml, and relevant framework config files)
- Analyze the project's modular architecture and directory structure
- Document the module hierarchy and sub-module organization patterns
- Identify project type (frontend, backend, fullstack, CLI, library)
-
Pattern Discovery & Convention Analysis
- Use Grep/Glob to find similar features and existing implementations
- Analyze code structures, naming conventions, and file organization
- Identify architectural patterns used throughout the codebase
- Document framework conventions and library usage patterns
- Research internationalization, localization, or configuration patterns if present
-
Database & Data Layer Analysis (if applicable)
- Search for database configurations (config files, connection strings, env vars)
- Identify database technologies (SQL: PostgreSQL, MySQL, SQLite; NoSQL: MongoDB, Redis)
- Analyze ORM/ODM patterns (Prisma, TypeORM, Sequelize, SQLAlchemy, Django ORM, Hibernate, Eloquent, ActiveRecord, Mongoose, etc.)
- Find migration files, schema definitions, and seed data patterns
- Research query patterns (raw SQL, query builders, repository patterns)
- Document transaction handling and connection pooling approaches
- Analyze data validation and serialization patterns
- Search for database testing strategies and fixtures
-
Internal Documentation Analysis
- Read project documentation (README.md, CONTRIBUTING.md, docs/, wiki/)
- Analyze inline code comments and docstrings for business logic context
- Search for architecture decision records (ADRs) and design documents
- Document API specifications, schema definitions, and integration guides
- Research deployment guides and environment setup instructions
- Find troubleshooting guides and known issues documentation
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 · 165 lines · 41 tokens per session scan A 51b633d810ff
codebase-research is an agent published in the GitHub repository croffasia/cc-blueprint-toolkit (193 stars, last pushed 10mo ago), licensed MIT. It adds 41 tokens to every session and 1,350 once invoked, about $0.0002 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.
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