Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/vdittgen/arandu/claude-mdgit clone --depth 1 https://github.com/vdittgen/aranduWrote 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/vdittgen/arandu/claude-md)<a href="https://agentmods.dev/instructions/vdittgen/arandu/claude-md"><img src="https://agentmods.dev/badge/instructions/vdittgen/arandu/claude-md.svg" alt="Measured on agentmods" 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 | $0.02103 | $0.02103 |
| Opus 5 | $0.01052 | $0.01052 |
| Sonnet 5 | $0.00421 | $0.00421 |
| Haiku 4.5 | $0.00210 | $0.00210 |
Grade A, and why
arandu 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 5d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Arandu
Privacy-first AI operating system that runs as a native desktop app. Open source (Apache-2.0), local inference only (Ollama).
Architecture
- App shell: Tauri (Rust backend + web frontend)
- Analytical DB: SQLite (embedded, WAL mode)
- Graph DB: Kuzu (embedded, relationships/entities)
- Vector search: ChromaDB (embedded, semantic similarity)
- Pipeline: Manifest-driven Python (staging → intermediate → marts)
- LLM: Local Ollama (all inference stays on device). Routing policy lives in
src/agents/firewall/egress_firewall.py; seedocs/PRIVACY.md. The provider factory insrc/models/llm_provider.pybuilds the local Ollama provider — there is no remote/cloud provider in this codebase. - Frontend: React + Tailwind inside Tauri webview
- Languages: Rust (firewall, IPC), Python (pipeline, ML, agents), TypeScript (UI)
Top-level packages
| Package | Bounded context |
|---|---|
src/core/ |
Storage (sqlite/kuzu/chromadb), query engine, data layer, CLI dispatcher |
src/agents/ |
Brain Agent, fact learner, insight generator, proactive intelligence, message triage/eval |
src/agent_runtime/ |
Sandboxed agent runner, context, sensitivity guard, skills (3rd-party isolation) |
src/extensions/mcp/ |
MCP protocol: client, installer, tool classifier |
src/extensions/connectors/ |
Connector lifecycle: catalog, registry, manager, scheduler, requirements |
src/extensions/bridges/ |
Native bridges: apple/, whatsapp/ |
src/extensions/ingestion/ |
Sync engine, adapters, transforms, schema discovery, model generator |
src/extensions/builtin/ |
Built-in agents (weekly_digest, relationship_tracker) |
src/notifications/ |
Orchestrator, notifier, reply handler, preferences |
src/pipeline/ |
Manifest, runner, executor, brain, auditor, worker |
src/models/ |
LLM provider abstraction, voice, sensitivity classifier |
src/interface/ |
React frontend (pages, components, hooks) |
src-tauri/src/firewall/ |
Audit chain (Rust reader of ~/.arandu/data/audit.jsonl) |
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.
- 5d ago First seen · 139 lines · 2,103 tokens per session scan A c510b79d5b62
arandu CLAUDE.md is an instructions file published in the GitHub repository vdittgen/arandu (2 stars, last pushed 27d ago), licensed Apache-2.0. It adds 2,103 tokens to every session, about $0.0105 per session on Opus 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
fak AGENTS.md
AGENTS.md instructions for anthony-chaudhary/fak, covering agents.md — orientation for coding agents, default scope when launched from this repo, delegate real work; keep the coordinator context clean, scope discipline for smaller models: subdivide or abstain and native inference performance invariant.
moosestack copilot-instructions.md
Instructions for 514-labs/moosestack, covering moose repository guide, code standards, required before each commit, development flow and repository structure.
fak CLAUDE.md
Claude Code instructions for anthony-chaudhary/fak, covering claude.md, the canonical instructions, the five hard rules and doc map.
fak GEMINI.md
Gemini CLI instructions for anthony-chaudhary/fak: The canonical agent instructions for this repo are in AGENTS.md — read it first for build/test/run, the repo map, and the rules. Curated doc map: llms.txt. Contributor contract: CONTRIBUTING.md.
fak copilot-instructions.md
Copilot instructions for anthony-chaudhary/fak: The canonical agent instructions for this repo are in AGENTS.md — read it first for build/test/run, the repo map, and the rules. Curated doc map: llms.txt. Contributor contract: CONTRIBUTING.md.
moosestack AGENTS.md
Instructions for 514-labs/moosestack, covering agents.md, build & development commands, all languages, rust and typescript.