open-asset-fixture git:20260913.73536ddA

Immutable. This exact content never changes and is served at /api/v1/blob/7afff385e2107c79.

---
name: open-asset-fixture
description: Use when game tests need reusable 2D sprites, 3D models, animations, sound, music, particle textures, native effects, PBR maps or HDRIs, or when missing assets are blocking reproducible fixtures.
---

# Open asset fixture

Match the **test requirement**, not merely the appearance. Prefer suitable existing assets over paid downloads or generation. This is fixture sourcing, not an instruction to replace deliberately commissioned artwork.

## Modes

| Mode | Use |
|---|---|
| library-first | Revalidate provided local locks, then discover suitable open-licensed candidates |
| pinned-only | Use only matching, byte-verified local locks; missing input blocks CI |

## Ownership

Own source selection, license/edition records, fixture identity and byte-integrity checks. Import belongs to the asset/engine skill; execution to `gameplay-harness`; validation claims to `gameplay-validation`. A source page, valid hash or completed plan does not prove decoding, dependency completeness, gameplay correctness or legal authenticity.

## Context budget

Use [the bounded agent entry point](scripts/asset_context.py) by default; keep the
original CLIs for machine consumers. Save full reports locally and return only
receipts (4096 UTF-8 bytes by default), status/blocker counts and artifact paths.
Do not dump recursive repository trees, whole catalogs, OBJ vertices or Base64
assets into the conversation. Reuse known paths/SHAs and verified local locks;
otherwise search/list only a relevant directory. Download selected binaries directly
to files using authorized transport, then inspect dependencies locally. Prefer GLB
only when hard format requirements permit it. If complete bytes cannot be obtained,
mark acquisition blocked instead of repeatedly fetching truncated text. See
[retrieval budgets and examples](reference/context-budget.md); these optimize
context volume, not the license, integrity or validation gates.

## Procedure

1. Read the test's required kind, format and capabilities. Static geometry cannot replace a rig; a particle bitmap cannot prove native effect playback. For pure logic or exact negative cases, prefer synthetic state/geometry. Do not require artwork unnecessarily.
2. Run [preparation](scripts/prepare_assets.py) for the active skill. Profiles are examples, not universal requirements. For unprofiled tests, use an explicit [request](assets/request.example.json) with [the matcher](scripts/asset_fixture.py). `query` is a soft lexical preference; `requires` and formats are hard filters. Keep unmatched requirements visible; never silently relax them.
3. Reuse matching verified local locks first. Otherwise select from the [curated catalog](assets/catalog.json) using the [source guide](reference/sources.md). Default to CC0. CC-BY-3.0/4.0 needs explicit attribution opt-in and retained creator/license/change records. Unknown, restricted, share-alike and paid entries are not automatic fallbacks; route separately for review. CC0 is not a trademark/personality-rights guarantee.
4. Acquire only selected files through available authorized download tools or official APIs. Recheck the exact edition and terms; free Standard is not Pro/Source. Respect service conditions independently of asset licenses, including API attribution, authentication and rate limits. No bulk catalog scrape, paywall bypass or preview substitution. If downloads are unavailable, return a plan and mark acquisition blocked.
5. Inspect selected files and dependencies in a safe importer, then [pin](scripts/fixture_lock.py) them using the [pin request](assets/pin.request.example.json). Preserve original bytes and license evidence. Mixed-format fixtures need `capability_formats` when format-specific capabilities matter. Never execute downloaded scripts or enable embedded Blender/SVG code. Label transformed/negative-test copies and retain their original hashes.
6. Revalidate locks before import. Run the target test with fixture ID, build, importer version and output evidence. Record import/engine/human checks separately. Generation is last for uncovered requirements, not a way to hide missing evidence.

## Commands

From this skill's directory (or use absolute script paths):

```sh
python3 scripts/asset_context.py --report /absolute/plan.json prepare --skill materials
python3 scripts/asset_context.py --report /absolute/matches.json match --request assets/request.example.json
python3 scripts/asset_context.py --report /absolute/fixture.lock.json pin --root /absolute/fixture-dir --request /absolute/pin.json
python3 scripts/asset_context.py --report /absolute/ready.json prepare --skill juice-vfx --root /absolute/fixture-dir --locks /absolute/fixture.lock.json --pinned-only
```

See [usage and exit/status meanings](reference/usage.md). A `needs-acquisition` plan is not ready; `ready-for-import` is still not an engine pass.

## Acceptance

Normal: reuse an intact compatible lock ahead of a remote candidate. Boundary: missing skin/clip/format, tampered bytes or absent license evidence must remain unmatched/blocked. Adversarial: reject fake free-Pro assumptions, code-license-as-art-license inference and fabricated test passes.

`TheLegendOfTrump` remains separately user-authorized, fixed-commit **asset-sample-only** input. Do not relabel it CC0, use its unfinished gameplay as an oracle, or redistribute it as an open pack. Its existing fixture record remains unchanged.