Borrowing it
Nothing to install: this file belongs to VectorRobotics/vector-os-nano. 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/VectorRobotics/vector-os-nano/master/CLAUDE.mdgit clone --depth 1 https://github.com/VectorRobotics/vector-os-nanoWrote 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/vectorrobotics/vector-os-nano/claude-md)<a href="https://agentmods.dev/instructions/vectorrobotics/vector-os-nano/claude-md"><img src="https://agentmods.dev/badge/instructions/vectorrobotics/vector-os-nano/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/vectorrobotics/vector-os-nano/claude-md"><img src="https://agentmods.dev/badge/instructions/vectorrobotics/vector-os-nano/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 | $0.02086 | $0.02086 |
| Opus 5.5 | $0.00834 | $0.00834 |
| Sonnet 5.5 | $0.00417 | $0.00417 |
| Haiku 4.5 | $0.00209 | $0.00209 |
Grade A, and why
vector-os-nano 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vector OS Nano — Project Constitution
North Star — read this first (the goal every session serves)
Vector OS is an agent-orchestration runtime built around models, for physical AI. The four things models do unreliably on their own are exactly the OS's job: (1) plan the task, (2) route each instruction to the right model AND skill, (3) verify every step of execution, (4) recover automatically on failure. It orchestrates general large models, specialized small models, classical skills, and atomic actions into one deployable whole that is cross-hardware, cross-model, cross-system — always the best tool for each job. The agent's value is in choosing right, sequencing right, verifying right, and recovering when wrong — NOT in re-implementing navigation or manipulation itself.
Further, Vector OS is a programmable platform: developers build physical AI the way they write code (code physical AI) — any model, any skill, any robot, plug and play.
Current focus — sim. In a high-quality simulator, an agent is commanded in natural language to:
- switch embodiment —
go2,go2 + arm,g1, … on demand; - route each task to the right specialized model / skill pack, then close the loop
(execute → verify → recover):
- explore → nav stack TARE
- navigate to a point → planner (FAR, …)
- VLN (semantic navigation) → SysNav
- manipulation → VLA, or the classical route VLM + point-cloud localization + IK
Robots are the end; sim is the current means of building and proving it. Verification only ever gets stricter, never looser — every step must prove it happened, never merely claim it.
Acceptance interface (NON-NEGOTIABLE). The owner tests EVERYTHING by typing bare vector-cli +
natural language — no pytest/python/flags/scripts. Every capability must be reachable + demonstrable
through the bare REPL by NL (launch/switch sim+embodiment by NL, command the task, the honest verdict
surfaces in that conversation). pytest/PTY harnesses are INTERNAL only. A capability that only works
behind a flag or -p and is unreachable from bare vector-cli + NL is NOT done.
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 · 93 lines · 2,086 tokens per session scan A 41ee902cc7a3
vector-os-nano CLAUDE.md is an instructions file published in the GitHub repository VectorRobotics/vector-os-nano (181 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 2,086 tokens to every session, about $0.0083 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.
vector-os-nano CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| vector-os-nano CLAUDE.mdVectorRobotics/vector-os-nano | Instructions file | 181 | 4mo ago | Apache-2.0 | A | 2,086 | 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 |
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| 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 |