audit
01Command
Run automated code quality analysis with scoring for CI integration.
🧠 ctx is a queryable world model of a codebase, built to ground and govern the language models that modify it
Command
Run automated code quality analysis with scoring for CI integration.
Command
Enforce architecture rules from .ctx/rules.toml against the code intelligence index.
Command
Generate context for changed files with their related dependencies.
Command
Detect structurally similar functions with MinHash near-duplicate search.
Command
Package ctx as an AI coding harness integration (Claude Code).
Command
Rank files and symbols by churn x complexity to find refactoring hotspots.
Command
Manage LSP-backed language support from the community registry.
Command
Generate a token-budgeted map of the codebase for LLM session bootstrap.
Command
Score the quality delta of your changes against a git reference.
Command
Update the ctx binary from GitHub releases — explicitly, never automatically.
Command
Start ctx as an MCP (Model Context Protocol) server for AI assistant integration.
Command
Interactive shell for exploring your codebase.
Command
Find existing functions similar to a description before writing new ones.
Command
Intelligently select files relevant to a task description using embeddings and call graph analysis.
Command
Capture per-commit Parquet metric snapshots for longitudinal quality analysis.
Command
Run read-only SQL against the code-intelligence index through DuckDB, over a stable v1 view layer.
Command
Command "sql_schema" from agentis-tools/ctx, covering ctx sql — public schema (v1), stability contract, views, v1.symbols — one row per symbol and v1.edges — one row per relationship.