content-audit

content-audit is a skill for Codex from frabcd/codex-ai-game-studio. It costs 22 tokens per session (1,955 once invoked), scanned A, original, MIT.

A checker that compares the content counts promised in a game's design documents with the content actually built. A GDD, or game design document, describes how a game should work and what it should contain.

In plain words
What is it for?
It audits all systems or one named system, looking for counts such as enemies, levels, items and abilities, and can produce a summary without changing files.
Why use it?
It makes missing or incomplete planned content visible instead of requiring a manual comparison across many documents.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; mentions Codex; $skill-name invocation.

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.

agentmods
npx agentmods add skills/frabcd/codex-ai-game-studio/content-audit
Any agent
npx skills add frabcd/codex-ai-game-studio --skill content-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 content-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/content-audit.svg)](https://agentmods.dev/skills/frabcd/codex-ai-game-studio/content-audit)
Your own site
<a href="https://agentmods.dev/skills/frabcd/codex-ai-game-studio/content-audit"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/content-audit.svg" alt="Measured on agentmods" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,955 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00022 $0.01955
Opus 5 $0.00011 $0.00978
Sonnet 5 $0.00004 $0.00391
Haiku 4.5 $0.00002 $0.00196

Measured 6d ago against content hash 4f944184f59c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

content-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 6d 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/content-audit/SKILL.md · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 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.

When this skill is invoked:

Parse the argument:

  • No argument → full audit across all systems
  • [system-name] → audit that single system only
  • --summary → summary table only, no file write

Phase 1 — Context Gathering

  1. Read design/gdd/systems-index.md for the full list of systems, their categories, and MVP/priority tier.

  2. L0 pre-scan: Before full-reading any GDDs, text search all GDD files for ## Summary sections plus common content-count keywords:

    text search pattern="(## Summary|N enemies|N levels|N items|N abilities|enemy types|item types)" glob="design/gdd/*.md" output_mode="files_with_matches"
    

    For a single-system audit: skip this step and go straight to full-read. For a full audit: full-read only the GDDs that matched content-count keywords. GDDs with no content-count language (pure mechanics GDDs) are noted as "No auditable content counts" without a full read.

  3. Full-read in-scope GDD files (or the single system GDD if a system name was given).

  4. For each GDD, extract explicit content counts or lists. Look for patterns like:

    • "N enemies" / "enemy types:" / list of named enemies
    • "N levels" / "N areas" / "N maps" / "N stages"
    • "N items" / "N weapons" / "N equipment pieces"
    • "N abilities" / "N skills" / "N spells"
    • "N dialogue scenes" / "N conversations" / "N cutscenes"
    • "N quests" / "N missions" / "N objectives"
    • Any explicit enumerated list (bullet list of named content pieces)
  5. Build a content inventory table from the extracted data:

    System Content Type Specified Count/List Source GDD

    Note: If a GDD describes content qualitatively but gives no count, record "Unspecified" and flag it — unspecified counts are a design gap worth noting.


Read the full file on GitHub · 207 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. 6d ago First seen · 207 lines · 22 tokens per session scan A 4f944184f59c

Subscribe to this mod's changes

content-audit is a skill published in the GitHub repository frabcd/codex-ai-game-studio (9 stars, last pushed 6d ago), licensed MIT. It adds 22 tokens to every session and 1,955 once invoked, about $0.0001 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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