coderadius: Instructions file for Claude Code

CLAUDE.md

coderadius CLAUDE.md is an instructions file for Claude Code from coderadius-ai/coderadius. It costs 5,795 tokens per session, scanned A, a copy of coderadius AGENTS.md, Apache-2.0.

Instructions for developing CodeRadius, a command-line tool that builds a map of architecture across codebases written in several programming languages. It stores relationships in Neo4j or Memgraph, which are databases designed for connected data.

In plain words
What is it for?
Use it to install dependencies, build or run CodeRadius, start its dashboard, run unit or integration tests, and understand its code-analysis and cross-repository impact features.
Why use it?
It explains the project’s runtime, build commands, tests, and architecture so contributors and coding agents can make changes consistently.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is coderadius-ai/coderadius's own configuration. It tells Claude Code how to work on coderadius itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything coderadius configures →

Reuse

Borrowing it

Nothing to install: this file belongs to coderadius-ai/coderadius. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/coderadius-ai/coderadius/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/coderadius-ai/coderadius

Made for: Claude Code.

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Per session 5,795 This file is loaded in full into every session.
When invoked 5,795 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 98% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.05795 $0.05795
Opus 5.5 $0.02318 $0.02318
Sonnet 5.5 $0.01159 $0.01159
Haiku 4.5 $0.00579 $0.00579

Measured 2mo ago against content hash 6c652c6b7dc4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

coderadius CLAUDE.md 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.

Origin

This is a copy

98% identical to coderadius AGENTS.md — 4 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.

CLAUDE.md · 263 lines

How it starts

The opening of the file, as written. The whole thing — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

What This Is

CodeRadius is a CLI tool that builds an architectural knowledge graph from polyglot codebases. It statically analyzes source code (TypeScript, PHP, Go, Python), extracts infrastructure dependencies via LLM-driven semantic analysis, persists everything to a Neo4j/Memgraph graph database, and enables cross-repo impact analysis ("blast radius") and governance policy enforcement.

Build & Run Commands

Runtime: Bun (not Node.js for development). The project uses ES modules ("type": "module").

bun install                # Install dependencies
bun run build              # TypeScript compilation (tsc, noEmit)
bun run dev                # Run CLI directly: bun run src/cli/index.ts
bun run dev:dashboard      # Dashboard dev server with live reload (http://localhost:3456)

Testing

bun run test:unit                                    # All unit tests
bun vitest run tests/unit/path/to/file.test.ts       # Single unit test
bun run test:integration                             # Integration tests (requires running Memgraph)
make test-eval-golden      # Eval tests (LLM golden + replay-cached patterns)
make test-patterns         # Pattern fixtures, deterministic subset (no LLM, no DB)

The repo organises tests by determinism level and dependency footprint. Pick the right tier when adding a feature or fixing a bug:

  • Unit tests (tests/unit/): pure logic, no external services. Defaults for sanitizer rules, schema validation, regex guards, in-memory pipelines. Run: bun run test:unit (~7s).

  • Integration tests (tests/integration/): exercise real graph mutations against Memgraph. Required for any change to src/graph/mutations/, the welder (dynamic-infra-resolver.ts), or DB-backed pipelines. Run sequentially (no file parallelism). Run: bun run test:integration (~20s).

  • Eval tests — agents (tests/eval/agents/): LLM extraction quality on per-function snippets, replay-cached. Use when a fix changes prompt rules, sanitizer behaviour visible to the LLM, or the LLM output schema. Three modes via EVAL_LLM_MODE:

    • replay (default): cached LLM outputs from tests/eval/.llm-cache/, ~2s, deterministic
    • live: real LLM calls, saves to cache
    • refresh: real LLM calls, overwrites cache

Read the full file on GitHub · 263 lines

Changes

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.

  1. 2mo ago First seen · 263 lines · 5,795 tokens per session scan A 6c652c6b7dc4

Subscribe to this mod's changes

coderadius CLAUDE.md is an instructions file published in the GitHub repository coderadius-ai/coderadius (23 stars, last pushed 22d ago), licensed Apache-2.0. It adds 5,795 tokens to every session, about $0.0232 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to coderadius AGENTS.md, differing in 4 lines, and is treated as a copy.

Related

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