SimReady Conform FET033STANDARD

SkillDev tools

Use for repairing exact FET_033_STANDARD Metadata conformance (thumbnail and nested provenance metadata). Use when a profile, validation report, or user request names FET_033_STANDARD; default to version `0.3.0` unless a profile or report pins another version.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the SimReady Conform FET033STANDARD skill

What this skill tells your AI

The instructions your AI receives, as published by nvidia/simready-foundation in skills/simready-foundation-conform-fet-033-standard/SKILL.md and read by ahel’s review.

Purpose

Use this exact feature skill when the selected profile, validation report, or user request names FET_033_STANDARD. It repairs or stages Metadata conformance (thumbnail and nested provenance metadata) without drifting into another runtime contract.

Default to FET_033_STANDARD@0.3.0 when the user asks for this feature without a version. Use an older version only when the profile, validation report, or user explicitly pins it. If the report names a different FET_###_RUNTIME feature, switch to that feature's matching skill before editing.

Source of Truth

Before changing an asset or package, read:

  • nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/features/FET_033_STANDARD-0.3.0.json (latest)
  • nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/features/FET_033_STANDARD-0.2.0.json (preserved)
  • nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/features/FET_033_STANDARD-0.1.0.json (preserved)
  • nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/features/FET_033_STANDARD.md
  • nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/core/sim_ready/requirements/thumbnail-exist.md (SR.002)
  • nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/core/sim_ready/requirements/nested-simready-metadata.md (SR.003)

Treat the selected JSON manifest as authoritative for dependencies and requirement IDs. Use the feature markdown for human-readable contract details, requirement links, samples, benchmarks, and adapters.

Feature Versions

VersionDependenciesRequirements
0.1.0FET_031_STANDARD@0.1.0SR.002
0.2.0FET_031_STANDARD@0.1.0SR.002, SR.003
0.3.0FET_031_STANDARD@0.1.0SR.002, SR.003 (stricter provenance fields)

Workflow

  1. Confirm the input exists and identify the exact selected feature/version from the profile TOML, validation report, or user request.
  2. Load the selected FET_033_STANDARD manifest and the feature markdown before editing.
  3. Load requirement docs linked from the feature markdown for every reported failing requirement.
  4. Create or use a staged output location unless the user explicitly asks for in-place edits.
  5. Repair only the requirements listed by the selected FET_033_STANDARD manifest and its dependencies.
  6. Rerun the same profile gate or the narrowest available feature/capability validation gate. If runtime evidence is required and unavailable, report that limitation instead of claiming a pass.
  7. Summarize the selected FET_033_STANDARD version, changed files, validation evidence, and the first remaining blocker or next exact feature gate.

Feature Guidance

  • Repair only the requirements listed by the selected FET_033_STANDARD manifest and its dependencies.
  • For SR.002, ensure a representative PNG thumbnail exists at .thumbs/256x256/<asset_filename>.png next to the root asset.
  • For SR.003 (version 0.2.0+), author required non-empty string provenance fields inside root-layer customLayerData.SimReady_Metadata: author, asset_name, asset_type, asset_license, category, source_file, and usd_date_generated.
  • For SR.003 at version 0.3.0+, also author these required asset-descriptive fields inside the same customLayerData.SimReady_Metadata dictionary:
    • qcode (string): Wikidata Q-Code for the asset's general category, a capital Q followed by one or more digits (for example Q42177).
    • rigid_body_count (int): non-negative count of rigid bodies in the asset.
    • asset_extents (float3): asset bounding-box size in meters as XYZ, with non-negative components.
    • mass (float): asset mass in kilograms, strictly positive.
  • Do not author SR.003 0.3.0+ descriptive fields with placeholder or fabricated physical values. Derive rigid_body_count, asset_extents, and mass from the actual asset (rigid-body prims, computed bounds, and authored mass); if a value cannot be derived, report it as a blocker instead of guessing.

How to Generate Metadata

The SR.003 requirement is declarative (it checks the end state), so use the bundled helper to populate the nested SimReady_Metadata dictionary. The helper only derives what the stage can prove and never fabricates values.

Helper script: assets/scripts/extract_simready_metadata.py (run with a USD-core Python; the same interpreter used to run SimReady validation works).

  • Derived deterministically from the stage:
    • asset_extents (float3, meters) from the default prim's world bounding box, converted with the stage metersPerUnit.
    • rigid_body_count (int) by counting prims with UsdPhysicsRigidBodyAPI.
    • mass (kg) by summing authored physics:mass on prims with UsdPhysicsMassAPI; reported as null (needs input) when none is authored.
    • qcode (Wikidata Q-Code) from the default (root) prim's authored Wikidata semantics. Both encodings are read: the newer UsdSemantics semantics:labels:<taxonomy> token array (taxonomy name containing qcode) and the legacy multi-apply semantic:<instance>:params:semanticData with a wikidata_qcode type. Reported under needs_input when the root prim has no Q-Code semantic. Pass --set qcode=<Qxxxx> to override or supply one.
  • Not derivable here (must be supplied, never invented): author, asset_name, asset_type, asset_license, category, source_file, usd_date_generated. Pass them with repeated --set KEY=VALUE.

Typical usage:

# 1) Inspect what can be derived (no writes):
python assets/scripts/extract_simready_metadata.py <asset.usd> --dry-run

# 2) Stamp derived fields (incl. qcode from root-prim semantics) plus
#    caller-supplied strings into a staged copy:
python assets/scripts/extract_simready_metadata.py <asset.usd> \
    --output <staged/asset.usd> \
    --set author=<author> --set asset_name=<name> \
    --set asset_type=<type> --set asset_license=<license> \
    --set category=<category> --set source_file=<source> \
    --set usd_date_generated=<date>
    # add --set qcode=<Qxxxx> only to override the derived value or when the
    # asset carries no Wikidata Q-Code semantic.

The helper keeps existing metadata values unless --overwrite is passed, writes a JSON/markdown report with --report/--markdown-report, and lists every field still needing input under needs_input. Treat a null mass or a missing asset_extents as a blocker to resolve (author UsdPhysicsMassAPI / fix geometry, or supply the value) rather than stamping a fabricated number.

Mass Plausibility Check (advisory)

Beyond presence/type validation, the helper reports whether the authored mass is physically plausible for the object. This is advisory only: it emits warnings and a verdict, never a hard failure, because plausible mass depends on what the asset represents in the real world.

Every run includes a mass_check block with per-body and aggregate solid volume (computed from mesh geometry), and the implied density mass / volume. Two signals:

  • Deterministic (automatic): an implied density outside the physically possible range (123000 kg/m^3, i.e. lighter than any real solid or denser than osmium) is flagged as a likely mass or unit error (for example mass authored in grams, or a cm^3/m^3 mix-up). This needs no external knowledge.
  • Agentic (recommended for the real-world judgement): decide a plausible mass range for the object from its type and dimensions — and, when available, a render or the source mesh — then pass it back so the report records the comparison and rationale:
python assets/scripts/extract_simready_metadata.py <asset.usd> --dry-run \
    --expected-mass-min <kg> --expected-mass-max <kg> \
    --mass-rationale "office chair, mostly plastic + steel base, ~5-10 kg"

The verdict is plausible (inside the range), review (outside but within ~100x), or implausible (>=100x off, almost certainly an authoring/unit error). Because this is a real-world judgement, a vision-capable agent should set the expected range from visual/mesh evidence; if the agent cannot make that judgement, report it as manual review rather than asserting the mass is correct. Do not change the authored mass to satisfy this check — surface a warning and let a human or the asset author correct the source value.

  • Do not add schemas, metadata, or runtime behavior for a sibling runtime feature.
  • Report missing runtime/tooling evidence as a validation limitation instead of claiming a pass.

Report Fields

FieldMeaning
featureExact feature ID and version, for example FET_033_STANDARD@0.3.0.
inputSource asset, package root, or package definition inspected.
outputStaged output path, or in-place only when explicitly requested.
requirements_repairedRequirement IDs repaired in this pass.
validationCommand or inspection used to verify this exact feature.
statuspassed, failed, skipped, or blocked.
next_stepThe next exact feature skill or user/runtime evidence needed.

Signals

GitHub stars
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Forks
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Last commit
Sep 2026
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Catalog kind
skill
Gateway key
simready-foundation-conform-fet-033-standard
Source
github.com/nvidia/simready-foundation