Borrowing it
Nothing to install: this file belongs to getArbor-dev/arbor. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/getArbor-dev/arbor/main/CLAUDE.mdgit clone --depth 1 https://github.com/getArbor-dev/arborWrote 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/instructions/getarbor-dev/arbor/claude-md)<a href="https://agentmods.dev/instructions/getarbor-dev/arbor/claude-md"><img src="https://agentmods.dev/badge/instructions/getarbor-dev/arbor/claude-md/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/instructions/getarbor-dev/arbor/claude-md"><img src="https://agentmods.dev/badge/instructions/getarbor-dev/arbor/claude-md.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 | $0.03172 | $0.03172 |
| Opus 5.5 | $0.01269 | $0.01269 |
| Sonnet 5.5 | $0.00634 | $0.00634 |
| Haiku 4.5 | $0.00317 | $0.00317 |
Grade A, and why
arbor 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.
How it starts
The opening of the file, as written. The whole thing — 237 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.
Commands
# Build
cargo build --workspace
# Test all crates
cargo test --workspace
# Test single crate
cargo test -p arbor-graph
cargo test -p arbor-core
# Test single test by name
cargo test -p arbor-graph -- ranking::tests::test_pagerank_basic
# Lint
cargo clippy --workspace --all-targets --all-features
# Format check
cargo fmt --all -- --check
# Format fix
cargo fmt --all
# Benchmarks (criterion; CI regression gate in .github/workflows/benchmarks.yml)
cargo bench -p arbor-graph
# Release build (CLI binary)
cargo build --locked --release -p arbor-graph-cli
# Run CLI locally
cargo run -p arbor-graph-cli -- <command>
Architecture
Arbor is a semantic code graph engine — it parses codebases into a dependency graph and exposes that graph to CLIs, GUIs, WebSocket clients, and AI agents (via MCP).
Crate Dependency Order
arbor-core → arbor-graph → arbor-watcher
│ │
└───── arbor-server ─────┐
│
arbor-mcp ───────────────┤
arbor-cli ───────────────┘
arbor-gui ──────────────────→ arbor-{core,graph,watcher}
Crate Roles
arbor-core — Tree-sitter AST parsing. Extracts functions, classes, structs, imports, and call edges for 9 production languages (Rust, TS/JS, Python, Go, Java, C/C++, C#, Dart) plus 5 fallback parsers. Each language lives in crates/arbor-core/src/languages/. parser_v2.rs is the active parser; parser.rs is legacy.
arbor-graph — In-memory petgraph + sled persistence. Key modules:
builder.rs— converts parsed nodes/edges into the graph, builds per-file import maps for cross-module edge filteringranking.rs— PageRank with 10% weight for test-file callersheuristics.rs— entry point detection (main, HTTP routes, webhooks, jobs, CLI commands)impact.rs— blast radius, shortest path (A*)slice.rs— context trimming (token-aware, tiktoken)symbol_table.rs— cross-file FQN resolutionconfidence.rs— edge confidence scoringstore.rs— sled-backed persistence
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.
- 2mo ago First seen · 237 lines · 3,172 tokens per session scan A f0413e2136b7
arbor CLAUDE.md is an instructions file published in the GitHub repository getArbor-dev/arbor (158 stars, last pushed 2mo ago), licensed MIT. It adds 3,172 tokens to every session, about $0.0127 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.
arbor CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| arbor CLAUDE.mdgetArbor-dev/arbor | Instructions file | 158 | 2mo ago | MIT | A | 3,172 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |