reality-opened/openreality/openreality
Claude Code and agent skill by reality-opened/openreality
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Checking that the SKILL.md file is still in the repository.
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.
Install
npx vskill@latest install reality-opened/openreality/openrealitySKILL.md
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
- 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.
- Context second:
scene_card <scan_id>— small, honest summary (source, metric
state, objects, artifacts). @-mention openreality://scene/<scan_id> works too.
- 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).
- Uploads:
workspace_upload_video(≤1 GB) /workspace_upload_recording(robot
.db) / workspace_upload_splat (.ply/.spz) → then workspace_job_wait on the job_id.
- 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, mujoco_mjcf. For MuJoCo, export_mujoco does all of it in one call and returns the unpacked scene.xml path. Both simulator formats need a metric anchor (scene_anchor first); MuJoCo collision is a floor plane + detected-object boxes only.
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_objectsare 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.
Troubleshooting
No Open Reality credentials→ runopenreality-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.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingmcp/skills/openreality/SKILL.md
Popularity
- Repository stars
- 62
- Repository forks
- 1
- 7-day trend score
- 21
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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