Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ouzlifaneyassine1-dot/onyx-engine --skill asset-strategygit clone --depth 1 https://github.com/ouzlifaneyassine1-dot/onyx-engineWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ouzlifaneyassine1-dot/onyx-engine/asset-strategy)<a href="https://agentmods.dev/skills/ouzlifaneyassine1-dot/onyx-engine/asset-strategy"><img src="https://agentmods.dev/badge/skills/ouzlifaneyassine1-dot/onyx-engine/asset-strategy/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ouzlifaneyassine1-dot/onyx-engine/asset-strategy"><img src="https://agentmods.dev/badge/skills/ouzlifaneyassine1-dot/onyx-engine/asset-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00094 | $0.02078 |
| Opus 5 | $0.00047 | $0.01039 |
| Sonnet 5 | $0.00019 | $0.00416 |
| Haiku 4.5 | $0.00009 | $0.00208 |
Grade A, and why
asset-strategy 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Asset Strategy — Meta-Router for Asset Creation
Classify the user's request, ask at most one clarifying question, then dispatch to the right specialist via the Skill tool. Don't generate anything yourself — every media-type/asset-class combination has a dedicated specialist that owns the prompt patterns, polycount targets, gates, and fallbacks. Your job is the routing decision, not the work.
Step 1 — Classify by media type
| Signal in user request | Continue at |
|---|---|
| image, art, concept, portrait, icon, sprite, texture, skybox, HUD | 2D table |
| model, mesh, 3D, prop, character, rigged, vehicle, tree, level kit | 3D table |
| sound, SFX, music, ambient, voice, VO | Audio table |
| cutscene, trailer, loop video, animated background | Video table |
| animation, idle, walk, attack, retarget, blend tree, IK, lipsync | Animation table |
| fire, muzzle flash, smoke, lightning, shake, hit-stop, particles | VFX table |
If the request spans rows ("a witch with idle and a fire spell"), classify the first asset and dispatch — the specialist hands off when it's done.
Step 2 — Disambiguate (one question max)
Ask the exact phrase before dispatching. Skipping the question is the most common routing mistake.
| Ambiguity | Disambiguation question (verbatim) | Routes |
|---|---|---|
| Concept art vs character portrait | "Quick check — exploring the look (3-4 variants for art direction) or generating a final character portrait for dialogue UI?" | onyx:2d-assets/concept-art (exploring) / onyx:2d-assets/character-portrait (final) |
| Prop vs character model | "Static object (sword, chair, lantern) or rigged character that needs animation?" | onyx:3d-assets/prop-model / onyx:3d-assets/character-model |
| Tile vs sprite sheet | "One seamless tile that repeats, or a frame grid for an animated sprite?" | onyx:2d-assets/tileable-texture / onyx:2d-assets/sprite-sheet |
| SFX vs music | "One-shot effect or a longer track (loop, theme, ambient bed)?" | onyx:audio/sound-effect / onyx:audio/music-track (or audio/ambient-bed) |
| Generate vs retarget motion | "Generate a new clip on this character, or apply an existing library to a new character?" | onyx:animation/generate-motion / onyx:animation/retarget |
| VFX recipe vs game-feel | "Particle/shader effect in the world or screen-feel (camera shake, hit-stop)?" | onyx:visual-effects/recipes/<name> / onyx:visual-effects/game-feel |
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.
- 10d ago First seen · 135 lines · 94 tokens per session scan A bdd5fcd877e3
asset-strategy is a skill published in the GitHub repository ouzlifaneyassine1-dot/onyx-engine (0 stars, last pushed 2mo ago), licensed MIT. It adds 94 tokens to every session and 2,078 once invoked, about $0.0005 per session on Opus 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 2026-08-31.
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