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SKILL verified MIT Self-run

Content Audit

skill-donchitos-claude-code-game-studios-content-audit · by Donchitos

Audit GDD-specified content counts against implemented content. Identifies what's planned vs built.

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Install

$ agentstack add skill-donchitos-claude-code-game-studios-content-audit

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

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.

  1. 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.

  1. Full-read in-scope GDD files (or the single system GDD if a system

name was given).

  1. 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)
  1. 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.

Levels / Areas / Maps:

  • Glob assets/**/*.tscn, assets/**/*.unity, assets/**/*.umap
  • Glob src/**/*.tscn, src/**/*.unity
  • Look for scene files in subdirectories named levels/, areas/, maps/,

worlds/, stages/

  • Count unique files that appear to be level/scene definitions (not UI scenes)

Enemies / Characters / NPCs:

  • Glob assets/data/**/enemies/**, assets/data/**/characters/**
  • Glob src/**/enemies/**, src/**/characters/**
  • Look for .json, .tres, .asset, .yaml data files defining entity stats
  • Look for scene/prefab files in character subdirectories

Items / Equipment / Loot:

  • Glob assets/data/**/items/**, assets/data/**/equipment/**,

assets/data/**/loot/**

  • Look for .json, .tres, .asset data files

Abilities / Skills / Spells:

  • Glob assets/data/**/abilities/**, assets/data/**/skills/**,

assets/data/**/spells/**

  • Look for .json, .tres, .asset data files

Dialogue / Conversations / Cutscenes:

  • Glob assets/**/*.dialogue, assets/**/*.csv, assets/**/*.ink
  • Grep for dialogue data files in assets/data/

Quests / Missions:

  • Glob assets/data/**/quests/**, assets/data/**/missions/**
  • Look for .json, .yaml definition files

Engine-specific notes (acknowledge in the report):

  • Counts are approximations — the skill cannot perfectly parse every engine

format or distinguish editor-only files from shipped content

  • Scene files may include both gameplay content and system/UI scenes; the scan

counts all matches and notes this caveat


Phase 3 — Gap Report

Produce the gap table:

| System | Content Type | Specified | Found | Gap | Status |
|--------|-------------|-----------|-------|-----|--------|

Status categories:

  • COMPLETE — Found ≥ Specified (100%+)
  • IN PROGRESS — Found is 50–99% of Specified
  • EARLY — Found is 1–49% of Specified
  • NOT STARTED — Found is 0

Priority flags: Flag a system as HIGH PRIORITY in the report if:

  • Status is NOT STARTED or EARLY, AND
  • The system is tagged MVP or Vertical Slice in the systems index, OR
  • The systems index shows the system is blocking downstream systems

Summary line:

  • Total content items specified (sum of all Specified column values)
  • Total content items found (sum of all Found column values)
  • Overall gap percentage: (Specified - Found) / Specified * 100

Phase 4 — Output

Full audit and single-system modes

Present the gap table and summary to the user. Ask: "May I write the full report to docs/content-audit-[YYYY-MM-DD].md?"

If yes, write the file:

# Content Audit — [Date]

## Summary
- **Total specified**: [N] content items across [M] systems
- **Total found**: [N]
- **Gap**: [N] items ([X%] unimplemented)
- **Scope**: [Full audit | System: name]

> Note: Counts are approximations based on file scanning.
> The audit cannot distinguish shipped content from editor/test assets.
> Manual verification is recommended for any HIGH PRIORITY gaps.

## Gap Table

| System | Content Type | Specified | Found | Gap | Status |
|--------|-------------|-----------|-------|-----|--------|

## HIGH PRIORITY Gaps

[List systems flagged HIGH PRIORITY with rationale]

## Per-System Breakdown

### [System Name]
- **GDD**: `design/gdd/[file].md`
- **Content types audited**: [list]
- **Notes**: [any caveats about scan accuracy for this system]

## Recommendation

Focus implementation effort on:
1. [Highest-gap HIGH PRIORITY system]
2. [Second system]
3. [Third system]

## Unspecified Content Counts

The following GDDs describe content without giving explicit counts.
Consider adding counts to improve auditability:
[List of GDDs and content types with "Unspecified"]

After writing the report, ask:

> "Would you like to create backlog stories for any of the content gaps?"

If yes: for each system the user selects, suggest a story title and point them to /create-stories [epic-slug] or /quick-design depending on the size of the gap.

--summary mode

Print the Gap Table and Summary directly to conversation. Do not write a file. End with: "Run /content-audit without --summary to write the full report."


Phase 5 — Next Steps

After the audit, recommend the highest-value follow-up actions:

  • If any system is NOT STARTED and MVP-tagged → "Run /design-system [name] to

add missing content counts to the GDD before implementation begins."

  • If total gap is >50% → "Run /sprint-plan to allocate content work across upcoming sprints."
  • If backlog stories are needed → "Run /create-stories [epic-slug] for each HIGH PRIORITY gap."
  • If --summary was used → "Run /content-audit (no flag) to write the full report to docs/."

Verdict: COMPLETE — content audit finished.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.