Agent skill

Openreality

by reality-opened in reality-opened/openreality

Drive Open Reality OS through the openreality MCP tools — scan upload, reconstruction, scene sync/query, scene agents, measurements, navigation, and robot-training exports.

BSD-2-ClauseAuto-check passedAgent Workflows

Install Openreality

skills CLI
$ npx skills add reality-opened/openreality --skill openreality -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install reality-opened/openreality openreality --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/reality-opened/openreality.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mcp/skills/openreality .claude/skills/openreality && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
openreality
GitHub stars
280
Token cost
~941 tokens
SKILL.md length
421 words
Files
1
Skills in repo
1
Repo updated
First seen
Licence
BSD-2-Clause

At a glance

Drive Open Reality OS through the openreality MCP tools — scan upload, reconstruction, scene sync/query, scene agents, measurements, navigation, and robot-training exports.

  • Works in 5 steps: Sync first: workspace_list_scenes — the… → Context second: scene_card — small,… → Then act → …
  • The user mentions their Open Reality account
  • SKILL.md covers Workflow, Honesty doctrine… and Troubleshooting
  • Needs OPENREALITY_TOKEN

What it does

Openreality is an agent skill from reality-opened/openreality. Drive Open Reality OS through the openreality MCP tools — scan upload, reconstruction, scene sync/query, scene agents, measurements, navigation, and robot-training exports. Use whenever the user mentions their Open Reality account, scans/scenes, splats, reconstructions, scene measurements, or LeRobot/GR00T/Isaac exports of captured spaces.

Its SKILL.md is about 940 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: Open Reality: phone video to AI-queryable 3D scenes. MCP tools for Claude/Codex/Cursor (npm openreality-mcp), the self-hostable broker, and the VGGT-SLAM library, in one repo… The licence is BSD-2-Clause.

When your agent uses it

  • The user mentions their Open Reality account
  • Reconstructions
  • Scene measurements
  • LeRobot/GR00T/Isaac exports of captured spaces

Example prompts

  • “/openreality”

Requirements

  • A credential in OPENREALITY_TOKEN

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Sync first: workspace_list_scenes — the account is the sync layer; scans made on
  2. Context second: scene_card — small, honest summary (source, metric
  3. Then act
  4. Uploads: workspace_upload_video (≤1 GB) / workspace_upload_recording (robot
  5. Artifacts go to disk, never into context: artifact_fetch / artifact_fetch_splat

What it can do on your machine

Read from SKILL.md and the folder at commit 4d93d5f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENREALITY_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Openreality loads about 941 tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 421 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~941

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from reality-opened/openreality at commit 4d93d5f, republished under its BSD-2-Clause licence (© reality-opened). 421 words, ~941 tokens.

Download SKILL.mdSave it as .claude/skills/openreality/SKILL.md (or your agent's skills folder).
name
openreality
description
Drive Open Reality OS through the openreality MCP tools — scan upload, reconstruction, scene sync/query, scene agents, measurements, navigation, and robot-training exports. Use whenever the user mentions their Open Reality account, scans/scenes, splats, reconstructions, scene measurements, or LeRobot/GR00T/Isaac exports of captured spaces.

Open Reality OS

You have MCP tools (server name openreality) for a user's Open Reality account — persisted 3D scenes reconstructed from phone captures, imported splats, and robot recordings.

Workflow

  1. Sync first: workspace_list_scenes — the account is the sync layer; scans made on the user's phone or the web appear here. new_since_last_sync tells you what's new.
  2. Context second: scene_card <scan_id> — small, honest summary (source, metric state, objects, artifacts). @-mention openreality://scene/<scan_id> works too.
  3. Then act:
    • Deterministic questions (distances, angles, room structure, paths, exports) → scene_* / export_* tools. These are pure server routes — no LLM cost.
    • Narrated / visual questions ("describe this room", "key features") → agent_chat / agent_annotate. These run the SERVER-side scene agent, which spends a bounded LLM budget from the account. Prefer agent_replay (always $0) when a recorded run already answers the question (agent_runs lists them).
  4. Uploads: workspace_upload_video (≤1 GB) / workspace_upload_recording (robot .db) / workspace_upload_splat (.ply/.spz) → then workspace_job_wait on the job_id.
  5. Artifacts go to disk, never into context: artifact_fetch / artifact_fetch_splat return local file paths. Exports: export_manifest (dry-run) → export_prepare → artifact_fetch of the returned key. Formats: openreality, groot_lerobot_v2, isaac_usd.

Honesty doctrine (non-negotiable — mirrors the product's own guardrails)

  • Units: a length is metres ONLY when the response says units: "m" (a metric anchor was applied — scale_source names it). units: "relative" means relative SLAM units: never call them metres, never convert. To unlock metres: scene_anchor with two picked points and their real distance.
  • Closed world: the objects from scene_list_objects are the only objects that exist. Don't invent, merge, or rename them beyond their labels.
  • Provenance rides along: keyframes are photos; synthetic views are RENDERS of the splat (say so); generated assets (SAM-3D completions, variants, floor patches) are generated — their meta.json says generated: true. Nav plans carry "not certified navigation" — repeat it when presenting a path.
  • Degraded is a state, not a failure: robot-recording scenes persist degraded (no detections, preview cloud) with a QC report under derived/demo/recordings/ — report the QC verdict rather than hiding it.
  • The Isaac export is metric-gated: without an anchor it is refused. That refusal is correct behavior — offer the anchor flow, don't fight the gate.
  • Surface server refusals as-is: 409 agent_run_active (one run per scene — attach or wait), 422 unreachable_goal (includes the nearest reachable point), 409 export_job_active.
Show full SKILL.md (56 more words)Show less

Troubleshooting

  • No Open Reality credentials → run openreality-mcp login --token <token> (token from the deployment's /os page URL hash after dashboard sign-in) or set OPENREALITY_TOKEN.
  • Tokens roll automatically at half-life; a stale (>12 h idle) credential needs a fresh login.
  • To develop without the real backend: openreality-mcp simulator, then point the server at it with OPENREALITY_URL=http://127.0.0.1:8973 OPENREALITY_TOKEN=sim-token.

© reality-opened, BSD-2-Clause. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in mcp/skills/openreality of reality-opened/openreality.

Open the folder on GitHubat commit 4d93d5f

Compare with similar skills

Openreality next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Openreality compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Openreality this skillreality-opened/openreality280—~941Automated safety check: PassBSD-2-Clause
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Crush Configurationcharmbracelet/crush29k—~3.7kAutomated safety check: PassCustom licence
Context Mode Output Sandboxmksglu/context-mode26k—~4.1kAutomated safety check: PassCustom licence

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Categories

Questions about Openreality

What does Openreality do?

Drive Open Reality OS through the openreality MCP tools — scan upload, reconstruction, scene sync/query, scene agents, measurements, navigation, and robot-training exports. Openreality is an agent skill from reality-opened/openreality. Drive Open Reality OS through the openreality MCP tools — scan upload, reconstruction, scene sync/query, scene agents, measurements, navigation, and robot-training exports.

When should I use Openreality?

Openreality fits situations like: the user mentions their Open Reality account; reconstructions; scene measurements; leRobot/GR00T/Isaac exports of captured spaces.

How do I install Openreality in Claude Code?

Run `npx skills add reality-opened/openreality --skill openreality -a claude-code`. Or copy the skill folder (mcp/skills/openreality in reality-opened/openreality) into .claude/skills/openreality in your project. Claude Code loads it when a task matches its description.

How do I install Openreality in Codex?

Run `npx skills add reality-opened/openreality --skill openreality -a codex`. Or copy the skill folder (mcp/skills/openreality in reality-opened/openreality) into .agents/skills/openreality in your project. Codex loads it when a task matches its description.

Can I use Openreality in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add reality-opened/openreality --skill openreality -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openreality, .gemini/skills/openreality, .github/skills/openreality and .opencode/skills/openreality in your project.

What does Openreality need to run?

Going by SKILL.md and its folder, Openreality needs credentials named OPENREALITY_TOKEN. Our summary lists: A credential in OPENREALITY_TOKEN.

Does Openreality access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Openreality safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Openreality use?

Openreality is published under the BSD-2-Clause licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Openreality use?

About 941 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Openreality?

Skills that share tags, products or a category with Openreality: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Crush Configuration (charmbracelet/crush, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Openreality?

reality-opened (a GitHub organization) maintains it in reality-opened/openreality, which has 280 GitHub stars. The repository was last updated on September 3, 2026.

Source: reality-opened/openreality on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.