Borrowing it
Nothing to install: this file belongs to taniwhaai/arai. 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/taniwhaai/arai/main/CLAUDE.mdgit clone --depth 1 https://github.com/taniwhaai/araiWrote 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/taniwhaai/arai/claude-md)<a href="https://agentmods.dev/instructions/taniwhaai/arai/claude-md"><img src="https://agentmods.dev/badge/instructions/taniwhaai/arai/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/taniwhaai/arai/claude-md"><img src="https://agentmods.dev/badge/instructions/taniwhaai/arai/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 | $0.03849 | $0.03849 |
| Opus 5.5 | $0.01540 | $0.01540 |
| Sonnet 5.5 | $0.00770 | $0.00770 |
| Haiku 4.5 | $0.00385 | $0.00385 |
Grade A, and why
arai 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 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 — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — Arai
Arai is a Rust CLI that enforces AI coding assistant instruction files (CLAUDE.md, AGENTS.md, .cursorrules, etc.) via native hooks (Claude Code, Grok Build, and Codex as of v1.1.2). Current crate version is in Cargo.toml.
Commands
cargo build # Build
cargo test # Run tests
cargo install --path . # Install lean binary
cargo install --path . --features enrich # Install with ONNX enrichment
cargo run -- init # Test init flow (Claude + Grok + Codex hook files)
cargo run -- init --pre-commit # Also install .git/hooks/pre-commit (check-diff --cached)
cargo run -- deinit # Remove Arai hook registrations, leave other handlers
cargo run -- check-diff --cached # Match the staged git diff against guardrails
cargo run -- guardrails # List guardrails
cargo run -- status # Show enforcement status
cargo run -- why "git push --force origin main" # Explain matches (dry-run)
cargo run -- scan --code # Re-scan with AST code graph
cargo run -- scan --enrich-llm # Enrich rules via LLM
cargo run -- add "Never X" # Add a manual rule
cargo run -- audit # Tail the local firing log (today)
cargo run -- audit --json # JSONL stream
cargo run -- audit --verify # Verify SHA-256 hash chain across all day-buckets
cargo run -- audit --event=Compliance # Compliance verdicts (Pre/Post correlation)
cargo run -- audit --outcome=ignored # Rules the model ran despite a Pre-firing
cargo run -- audit --rule alembic # Filter audit by rule subject/predicate/object
cargo run -- audit --verify # Walk hash chain across every day-bucket
cargo run -- audit --ship # Ship pending day-buckets to [ship] url from config
cargo run -- audit --ship https://collector.example.com/arai # One-off collector URL
cargo run -- audit --purge --older=90 --dry-run # Plan a 90-day retention sweep
cargo run -- audit --purge --project=old-proj # Full wipe of one project's audit
cargo run -- stats # Aggregate the audit log (top rules, tools, days, compliance)
cargo run -- stats --by-rule # Just the per-rule compliance ratios
cargo run -- severity # List active severity overrides
cargo run -- severity alembic block # Pin a rule's severity for incremental rollout
cargo run -- severity --reset alembic # Drop the override, fall back to classification
cargo run -- diff CLAUDE.md # Preview rule-set delta vs. live store, no writes
cargo run -- lint CLAUDE.md # Parse a file and preview extracted rules, no DB writes
cargo run -- test scenarios/alembic-migration.json # Replay the canonical scenario
cargo run -- record --since=1h # Build scenarios from recent audit entries
cargo run -- trust --add <url> # Approve a URL for arai:extends
cargo run -- trust --add <url> --bearer-env ARAI_EXTENDS_TOKEN # Private source: send bearer from env var
cargo run -- disable 42 # Silence a rule by triple-id (survives rescan)
cargo run -- enable 42 # Re-enable a previously disabled rule
cargo run -- canonicalize # Extract recognised rules into ./arai.toml
cargo run -- sync # Write arai.toml into existing per-tool instruction files
cargo run -- migrate # Move legacy ~/.arai → ~/.taniwha/arai (prompted, default no)
cargo run -- migrate --yes # Non-interactive migration (for scripts)
cargo run -- mcp # Run the MCP server on stdio (blocks on stdin)
echo '{"tool_name":"Bash","tool_input":{"command":"git push"}}' | cargo run -- guardrails --match-stdin
ARAI_DENY_MODE=off cargo run -- guardrails --match-stdin # Advise-only (no deny)
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 Changed · +16 lines · +295 tokens per session fa752284bf2d
- 1mo ago Changed · +3 lines · +63 tokens per session 3d7724b146cb
- 1mo ago First seen · 224 lines · 3,491 tokens per session scan A 7ec8de5cfabd
arai CLAUDE.md is an instructions file published in the GitHub repository taniwhaai/arai (7 stars, last pushed 7d ago), licensed Apache-2.0. It adds 3,849 tokens to every session, about $0.0154 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 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.