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 frabcd/codex-ai-game-studio --skill asset-auditgit clone --depth 1 https://github.com/frabcd/codex-ai-game-studioWrote 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/frabcd/codex-ai-game-studio/asset-audit)<a href="https://agentmods.dev/skills/frabcd/codex-ai-game-studio/asset-audit"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/asset-audit/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/frabcd/codex-ai-game-studio/asset-audit"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/asset-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00038 | $0.00758 |
| Opus 5 | $0.00019 | $0.00379 |
| Sonnet 5 | $0.00008 | $0.00152 |
| Haiku 4.5 | $0.00004 | $0.00076 |
Grade A, and why
asset-audit 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 9d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Port provenance: adapted from the pinned upstream source at
984023ddac0d5e27624f2baacde6105e45de375funder MIT; see the repository parity ledger for the exact path and blob.
Phase 1: Read Standards
Read the art bible or asset standards from the relevant design docs and the AGENTS.md naming conventions.
Phase 2: Scan Asset Directories
Scan the target asset directory using file discovery:
assets/art/**/*for art assetsassets/audio/**/*for audio assetsassets/vfx/**/*for VFX assetsassets/shaders/**/*for shadersassets/data/**/*for data files
Phase 3: Run Compliance Checks
Naming conventions:
- Art:
[category]_[name]_[variant]_[size].[ext] - Audio:
[category]_[context]_[name]_[variant].[ext] - All files must be lowercase with underscores
File standards:
- Textures: Power-of-two dimensions, correct format (PNG for UI, compressed for 3D), within size budget
- Audio: Correct sample rate, format (OGG for SFX, OGG/MP3 for music), within duration limits
- Data: Valid JSON/YAML, schema-compliant
Orphaned assets: Search code for references to each asset file. Flag any with no references.
Missing assets: Search code for asset references and verify the files exist.
Phase 4: Output Audit Report
# Asset Audit Report -- [Category] -- [Date]
## Summary
- **Total assets scanned**: [N]
- **Naming violations**: [N]
- **Size violations**: [N]
- **Format violations**: [N]
- **Orphaned assets**: [N]
- **Missing assets**: [N]
- **Overall health**: [CLEAN / MINOR ISSUES / NEEDS ATTENTION]
## Naming Violations
| File | Expected Pattern | Issue |
|------|-----------------|-------|
## Size Violations
| File | Budget | Actual | Overage |
|------|--------|--------|---------|
## Format Violations
| File | Expected Format | Actual Format |
|------|----------------|---------------|
## Orphaned Assets (no code references found)
| File | Last Modified | Size | Recommendation |
|------|-------------|------|---------------|
## Missing Assets (referenced but not found)
| Reference Location | Expected Path |
|-------------------|---------------|
## Recommendations
[Prioritized list of fixes]
## Verdict: [COMPLIANT / WARNINGS / NON-COMPLIANT]
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 97 lines · 38 tokens per session scan A 4da479977e74
asset-audit is a skill published in the GitHub repository frabcd/codex-ai-game-studio (9 stars, last pushed 2d ago), licensed MIT. It adds 38 tokens to every session and 758 once invoked, about $0.0002 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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