asset-audit

asset-audit is a skill for Codex from frabcd/codex-ai-game-studio. It costs 38 tokens per session (758 once invoked), scanned A, original, MIT.

A check of a game's asset files, such as images, sounds, effects, shaders, and data. It compares them with project naming, format, size, and pipeline rules and checks whether files are referenced.

In plain words
What is it for?
Use it to inspect art, audio, visual effects, shaders, and data folders for standards violations, orphaned files, missing files, and invalid data.
Why use it?
It finds incorrectly named or formatted files, oversized assets, unused files, and references to missing assets. This helps catch content problems before they disrupt the game build.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; mentions AGENTS.md; mentions Codex.

Good fit Use it to inspect art, audio, visual effects, shaders, and data folders for standards violations, orphaned files, missing files, and invalid data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/frabcd/codex-ai-game-studio/asset-audit
Install

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.

Any agent
npx skills add frabcd/codex-ai-game-studio --skill asset-audit
Clone the repo
git clone --depth 1 https://github.com/frabcd/codex-ai-game-studio

Made for: Codex.

Wrote 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.

agentmods badge for asset-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/asset-audit/github.svg)](https://agentmods.dev/skills/frabcd/codex-ai-game-studio/asset-audit)
Your own site
<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.

agentmods 80×15 button for asset-audit

Your own site · 80×15
<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>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 758 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 9d ago against content hash 4da479977e74, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

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.

plugins/ai-game-studio/skills/asset-audit/SKILL.md · 97 lines

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 984023ddac0d5e27624f2baacde6105e45de375f under 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 assets
  • assets/audio/**/* for audio assets
  • assets/vfx/**/* for VFX assets
  • assets/shaders/**/* for shaders
  • assets/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]

Read the full file on GitHub · 97 lines

Files

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.

Changes

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.

  1. 9d ago First seen · 97 lines · 38 tokens per session scan A 4da479977e74

Subscribe to this mod's changes

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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