inspect-robots: Instructions file for Codex

AGENTS.md

inspect-robots AGENTS.md is an instructions file for Codex, OpenCode from robocurve/inspect-robots. It costs 2,740 tokens per session, scanned A, original, MIT.

Repository-specific instructions for coding agents working on Inspect Robots, a framework for evaluating robots and vision-language-action models, which connect visual observations to robot actions.

In plain words
What is it for?
Use them when working in the Inspect Robots repository, especially when editing its framework, tests, or documentation. They are instructions for that repository rather than a general-purpose coding feature.
Why use it?
They give agents the repository's architecture, working rules, and boundaries so changes follow the project's intended design and process.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions AGENTS.md.

This is robocurve/inspect-robots's own configuration. It tells Codex and OpenCode how to work on inspect-robots 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 inspect-robots configures →

Reuse

Borrowing it

Nothing to install: this file belongs to robocurve/inspect-robots. 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/robocurve/inspect-robots/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/robocurve/inspect-robots

Made for: Codex, OpenCode.

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Per session 2,740 This file is loaded in full into every session.
When invoked 2,740 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 original No closer match found 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 $0.02740 $0.02740
Opus 5.5 $0.01096 $0.01096
Sonnet 5.5 $0.00548 $0.00548
Haiku 4.5 $0.00274 $0.00274

Measured 9d ago against content hash fd3cb33c4d51, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

inspect-robots AGENTS.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 9d 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.

AGENTS.md · 175 lines

How it starts

The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Inspect Robots — agent guide

This is the single instruction file for every coding agent in this repo. Codex and most agents read AGENTS.md directly; Claude Code loads it through the one-line CLAUDE.md (@AGENTS.md). Edit this file, never CLAUDE.md.

Inspect Robots is the "Inspect AI for robotics": an open-source evaluation framework for physical AI / VLA (vision-language-action) models. This repo is the framework; concrete benchmarks and backend adapters live elsewhere (see below).

The one big idea

LLM evals have one swappable input (the model). Robotics evals have two:

  • Policy (the VLA "brain") — observation → ActionChunk (open-loop horizon).
  • Embodiment (the robot/sim "body + world") — executes actions, owns spaces.

A Task (a dataset of Scenes + scorers) is defined independently of both. eval() checks a (policy, embodiment) pair is compatible, runs the closed-loop rollout, scores it, and writes an immutable EvalLog. Mirrors Inspect AI's Task = dataset + solver + scorer, eval(), EvalLog, registry/decorator model.

Layout

  • src/inspect_robots/ — the package (see src/inspect_robots/CLAUDE.md for the module map).
  • tests/ — pytest; the CubePick mock world exercises the whole stack with no hardware or sim.
  • plans/ — design docs. plans/0001-foundation-design.md is the authoritative spec (read its §9–§11 "binding resolutions" before changing core interfaces).
  • examples/ — runnable demos (quickstart.py).
  • plugins/* — first-party plugin packages (concrete sims/VLAs that are out of scope for the numpy-only core), each its own package with its own pyproject, entry point, tests, and coverage scope. A uv workspace ([tool.uv.workspace]) ties them in: uv sync --all-packages --extra dev installs core + all plugins editable. They never count toward the core 100% gate (coverage is scoped to inspect_robots). E.g. plugins/inspect-robots-isaacsim/ (Isaac Lab embodiment), plugins/inspect-robots-ros/ (ROS 1/ROS 2 embodiment speaking rosbridge with no ROS dependency), plugins/inspect-robots-xpolicylab/ (policy adapter speaking the XPolicyLab websocket protocol — 40+ served VLAs, no xpolicylab dep), and plugins/inspect-robots-agent/ (LLMs as policies via the OpenAI-compatible wire formats or Anthropic's native Messages API — httpx only, no provider SDKs; registered as agent), and plugins/inspect-robots-capx/ (CaP-X code-as-policy over perception and IK HTTP servers; registered as capx), and plugins/inspect-robots-voice/ (local microphone transcription with Parakeet and local Kokoro policy narration; registered as the voice operator input and speaker sink).

Read the full file on GitHub · 175 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. 9d ago Changed · +3 lines · +59 tokens per session fd3cb33c4d51
  2. 16d ago Changed · -2 lines · -37 tokens per session f87c2829d9bb
  3. 1mo ago First seen · 174 lines · 2,718 tokens per session scan A c6fc91f7c898

Subscribe to this mod's changes

inspect-robots AGENTS.md is an instructions file published in the GitHub repository robocurve/inspect-robots (743 stars, last pushed 2d ago), licensed MIT. It adds 2,740 tokens to every session, about $0.0110 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 2026-10-04.

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