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Scan repositories and generate evidence-backed AI coding instruction files.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "rulesmith" yet — see the docs or source repo.
Scan this code repository, extract existing code style, structure, and conventions, then generate a project instruction file for an AI coding assistant and explain the evidence for each rule.
A project-specific instruction file containing coding conventions backed by repository evidence.
Based on the current repository scan, generate guidance that constrains an AI coding assistant to follow existing project conventions instead of generic best practices.
A set of AI behavior instructions emphasizing the project’s existing conventions.
Scan the repository and output a project conventions document focused on naming, structure, and implementation patterns that can guide AI-generated code.
A reusable project conventions file that helps both the team and AI stay consistent.
Developers can scan an existing repository and generate a project-level instruction file before adopting an AI coding assistant. This helps the AI follow the current code style and conventions more closely.
When teams find that AI-generated code often drifts from existing implementation habits, they can use this tool to generate rules backed by repository evidence. This makes AI behavior better aligned with the project context.
It provides a CLI and an MCP server for scanning repositories and generating evidence-backed, project-specific instruction files. These files help AI coding assistants follow the conventions already present in a codebase.
A scannable code repository is the only prerequisite clearly stated in the provided material. Installation steps, runtime requirements, or API keys are not specified here; see the source repository.
It focuses on generating project-specific instructions from repository scan results rather than offering only generic guidance. Its goal is to keep AI behavior aligned with existing codebase conventions.
Get context-aware coding rules, development guidance, and AI-curated advice.
Scan AI-generated code for injections, secrets, SSRF, and risky patterns.
Extract shared principles from skills and turn them into maintainable rule files.
Query local codebases, guide safe changes, and produce audit-ready evidence.
Scan website legal documents for missing or outdated compliance clauses.
Review repositories in natural language for security, performance, and code quality issues