content-audit

content-audit is a skill for Claude Code from bullish0x/GameStudio. It costs 22 tokens per session (1,833 once invoked), scanned A, a copy of content-audit, MIT.

An audit that compares the content promised in game design documents with the content that has actually been built.

In plain words
What is it for?
Use it to check systems or the whole project for planned enemies, levels, items, abilities, maps, and other explicitly counted content.
Why use it?
It shows the gap between planned and implemented content so missing or incomplete work is easier to find.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: agent in frontmatter; installed under .agents/ (shared by several agents).

Good fit Use it to check systems or the whole project for planned enemies, levels, items, abilities, maps, and other explicitly counted content.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bullish0x/gamestudio/content-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 bullish0x/GameStudio --skill content-audit
Clone the repo
git clone --depth 1 https://github.com/bullish0x/GameStudio

Made for: Claude Code.

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/bullish0x/gamestudio/content-audit/github.svg)](https://agentmods.dev/skills/bullish0x/gamestudio/content-audit)
Your own site
<a href="https://agentmods.dev/skills/bullish0x/gamestudio/content-audit"><img src="https://agentmods.dev/badge/skills/bullish0x/gamestudio/content-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 content-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/bullish0x/gamestudio/content-audit"><img src="https://agentmods.dev/badge/skills/bullish0x/gamestudio/content-audit.svg" alt="Reviewed on agentmods" width="80" 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 1,833 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.
Origin 98% copy Near-identical to another mod 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 $0.01833
Opus 5 $0.00011 $0.00916
Sonnet 5 $0.00004 $0.00367
Haiku 4.5 $0.00002 $0.00183

Measured 5d ago against content hash 295891c26032, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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 5d 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.

Origin

This is a copy

98% identical to content-audit — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/content-audit/SKILL.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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, Grep all GDD files for ## Summary sections plus common content-count keywords:

    Grep 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.


Phase 2 — Implementation Scan

For each content type found in Phase 1, scan the relevant directories to count what has been implemented. Use Glob and Grep to locate files.

Read the full file on GitHub · 205 lines

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. 5d ago First seen · 205 lines · 22 tokens per session scan A 295891c26032

Subscribe to this mod's changes

content-audit is a skill published in the GitHub repository bullish0x/GameStudio (11 stars, last pushed 2mo ago), licensed MIT. It adds 22 tokens to every session and 1,833 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to content-audit, differing in 1 line, and is treated as a copy.

Related

Other skills, from other repositories

customer-success

Support workflows, ticketing systems (Zendesk, Intercom), knowledge base design, chatbot design, and metrics (CSAT, NPS). Use when building support infrastructure, designing help centers, or optimizing customer experience.

travisjneuman/.claude · 47 tokens

event-planner

Event planning with timelines, budgets, vendor coordination, logistics checklists, and post-event evaluation. Use when organizing conferences, workshops, galas, or corporate events.

travisjneuman/.claude · 37 tokens

game-development

Game development with Unity, Unreal Engine, and Godot. Use when building games, implementing game mechanics, physics, AI, or working with game engines.

travisjneuman/.claude · 34 tokens

hr-talent

HR and talent management expertise for talent acquisition, performance management, compensation strategy, organizational design, culture building, succession planning, and D&I programs. Use when hiring, managing performance, designing organizations, or building culture.

travisjneuman/.claude · 47 tokens

innovation

Innovation management expertise for innovation frameworks (Design Thinking, Stage-Gate), ideation processes, innovation portfolio management, venture capital, open innovation, and IP strategy. Use when driving innovation, managing R&D portfolios, or building innovation programs.

travisjneuman/.claude · 49 tokens

leadership

Executive leadership expertise for decision-making, change management, crisis management, stakeholder management, team building, and organizational leadership. Use when leading teams, managing change, navigating crises, or developing leadership skills.

travisjneuman/.claude · 42 tokens