content-audit

GitHub

审计游戏设计文档(GDD)内容与已实现功能的差异,统计规划与构建数量。支持全量或单系统审计,能根据工作流模式调整范围,并在输入缺失时报告未评估状态,防止误报。

.claude/skills/content-audit/SKILL.md Donchitos/Claude-Code-Game-Studios

Trigger Scenarios

需要核对GDD规格与实际代码/资产的一致性 执行版本发布前的内容完整性检查 生成项目功能覆盖率的审计报告

Install

npx skills add Donchitos/Claude-Code-Game-Studios --skill content-audit -g -y
More Options

Non-standard path

npx skills add https://github.com/Donchitos/Claude-Code-Game-Studios/tree/main/.claude/skills/content-audit -g -y

Use without installing

npx skills use Donchitos/Claude-Code-Game-Studios@content-audit

指定 Agent (Claude Code)

npx skills add Donchitos/Claude-Code-Game-Studios --skill content-audit -a claude-code -g -y

安装 repo 全部 skill

npx skills add Donchitos/Claude-Code-Game-Studios --all -g -y

预览 repo 内 skill

npx skills add Donchitos/Claude-Code-Game-Studios --list

SKILL.md

Frontmatter
{
    "name": "content-audit",
    "model": "sonnet",
    "description": "Audit GDD content counts against what's implemented — planned vs built.",
    "allowed-tools": "Read, Glob, Grep, Write, Bash(bash \"*\/.claude\/skills\/content-audit\/..\/..\/hooks\/yaml-helper.sh\" resolve_config *)",
    "argument-hint": "[system-name | --summary | (no arg = full audit)]",
    "user-invocable": true
}

!bash "${CLAUDE_SKILL_DIR}/../../hooks/yaml-helper.sh" resolve_config --keys workflow,automation

Automation mode: Resolve modes.automation (project.local.yaml → project.yaml → default collaborative). Every AskUserQuestion call and every file write follows .claude/docs/automation-modes.md (collaborative asks always · guided major-only · autonomous logs and proceeds; automation_always_ask categories always prompt).

Resolved above — use as-is. No block → defaults in .claude/docs/config-resolution.md.

Content Audit

Resolve modes.workflow before auditing: this skill's tier-dependent behaviour ("audit only specs in the required sections") follows the resolved tier, never an assumed one. When a required input such as design/gdd/systems-index.md is absent, report NOT ASSESSED — NO DATA rather than computing a gap percentage (which divides by zero when nothing is specified).

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

workflow (see .claude/docs/workflow-modes.md):

  • full — full content-count audit against all GDD specs.
  • standard — audit only specs in the required sections; list any count found outside them as not audited at this tier.
  • minimal — cannot run (no systems index exists).

Insufficient input — check this before producing any report

If the inputs this skill needs do not exist, the answer is "could not run" — not a filled-in report. Check first, and stop if the check fails.

  1. List the inputs this skill reads (data files, prior reports, profiler output, test results, registries, source code).
  2. For each, record FOUND or ABSENT — not "assumed present".
  3. If any input required for a section is ABSENT, that section is NOT ASSESSED — NO DATA. Do not estimate it, do not infer it from an adjacent artifact, and do not leave a mandated cell to be filled by whoever reads the template next.
  4. If every required input is ABSENT, stop and report NOT ASSESSED — NO DATA as the whole verdict, naming what was missing and which skill produces it (/map-systems for design/gdd/systems-index.md, /design-system for the GDDs).

A verdict of NOT ASSESSED is a success. It is the correct, useful answer to "what does the data say?" when there is no data. The failure mode this prevents is specific: a report whose verdict enum has no "could not run" state produces false clean passes — an asset audit returning COMPLIANT on a project with no assets and no standards, or a performance profile reporting ">99% headroom against a 16.67ms budget" with zero profiler data and no budget ever set.

Absence of evidence is never evidence of absence. A scan that finds no matches because there are no files to scan has not verified anything. Say which of the two happened — a reader cannot tell from a green result.


Phase 1 — Context Gathering

  1. Read design/gdd/systems-index.md for the full list of systems, their categories, and MVP/priority tier. Read it by section: find the headings you need with the Grep tool (pattern ^#, content mode) and Read those ranges with offset and limit.

  2. Registry-first count: If design/registry/entities.yaml exists, read it first. Its entities and items sections are the cross-GDD named content the audit is counting, already distilled with a source: GDD per entry:

    Grep pattern="^  - name:" path="design/registry/entities.yaml" output_mode="content" -A 2
    

    - name: appears in all four registry sections; keep only the names whose -A 2 context shows they sit under entities: or items: (the named content this audit counts — not formulas:/constants:). Use those as the planned named-content set without full-reading the GDDs that own them. If design/registry/entities.yaml does not exist or has no entries (it ships as an empty stub until /design-system populates it), skip this step and rely on the GDD scan below — behaviour is unchanged, only more expensive.

  3. L0 pre-scan: Before full-reading any GDDs, run two greps — they answer different questions and must not share a pattern:

    a. Which GDDs carry a Summary (the denominator / fail-open check):

    Grep pattern="^## Summary" glob="design/gdd/*.md" output_mode="files_with_matches"
    

    b. Which GDDs actually declare content counts (the narrowing step):

    Grep pattern="[0-9]+[[:space:]]+(enemies|enemy types|levels|areas|maps|stages|items|weapons|equipment|abilities|skills|spells|cutscenes|conversations|dialogue scenes|bosses|quests)|(enemy|item|weapon|ability|level) types:" glob="design/gdd/*.md" output_mode="files_with_matches"
    

    Keep the two scans separate. ## Summary matches every compliant GDD, so a union with it narrows nothing, and a literal placeholder such as N enemies matches no real GDD. Pattern (b) matches digits followed by the content nouns step 5 actually extracts.

    Fail open on a missing Summary. Establish the denominator: glob design/gdd/*.md and count N. Scan (a) matching fewer than N means those GDDs predate ## Summary — never treat an absent Summary as a system out of scope; a zero-match (a) means "no GDD carries a Summary yet", not "no auditable content". Full-read the unmatched in-scope GDDs.

    For a single-system audit: skip this step and go straight to full-read. For a full audit: full-read the GDDs that scan (b) matched and are not already fully covered by the registry entries from step 2, plus every GDD scan (a) missed — the fail-open rule wins over this narrowing: a GDD with no ## Summary is full-read even when scan (b) did not match it. Only a GDD that has a Summary and no content-count language (a pure mechanics GDD) is noted as "No auditable content counts" without a full read.

  4. Full-read in-scope GDD files (or the single system GDD if a system name was given). This step needs the whole GDD: read it in ranges by its headings (found with the Grep tool: pattern ^#, content mode), since a whole-file Read over 40 KB is refused.

  5. For each GDD, extract explicit content counts or lists, noting the ## section each sits under — at standard, a count outside the required sections (.claude/docs/workflow-modes.md) goes on the "Not audited at this tier" list, never into the inventory. 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)
  6. 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.

On Unreal, content lives in Content/ — maps and data assets both — and the code root (Source/<Module>/) holds only C++. So on Unreal, every assets/… glob below also runs under Content/ (*.uasset in place of the data extensions), and levels are Content/**/*.umap. Skipping this finds zero levels on every Unreal project and reports them NOT STARTED.

On Unity, content lives under Assets/ (compare the case exactly — .claude/docs/code-root-resolution.md), and rarely in a data/ folder. So on Unity every assets/… glob below also runs under Assets/, without requiring a data/ segment — for items, Assets/**/items/**, Assets/**/Items/** and Assets/**/*Item*.asset — and data files include .asset (ScriptableObjects) and .prefab. Skipping this finds zero items, abilities, quests and dialogue on a Unity project and reports them NOT STARTED.

Levels / Areas / Maps:

  • Glob assets/**/*.tscn, assets/**/*.unity, assets/**/*.umap
  • Glob the code root for scene files: *.tscn (Godot), *.unity (Unity); on Unreal, Content/**/*.umap instead (above). Resolve the root per .claude/docs/code-root-resolution.md. If the code root is unresolved, report NOT ASSESSED — code root unresolved rather than zero hits.
  • 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 <code root>/**/enemies/**, <code root>/**/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

A row whose Found is NOT ASSESSED (code root unresolved) has no Gap or Status, is never NOT STARTED, and stays out of both totals; the summary names it.


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] — [all GDD sections | required sections only (workflow: standard)]
- **Not audited at this tier**: [counts found only outside the required sections — or "none"; omit at `full`]

> 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 any system is flagged HIGH PRIORITY → "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/."

Close with the verdict that matches the run:

  • Verdict: COMPLETE — content audit finished.
  • Verdict: NOT ASSESSED — NO DATA — a required input was absent (see the note at the top), nothing in scope gives a count (no registry entry, and every GDD is "Unspecified" or "No auditable content counts"), or a Found count could not be taken (NOT ASSESSED — code root unresolved); name which, and for missing counts name /design-system. Never print COMPLETE for a run that could not compute a gap.

Version History

  • 05ad7c8 Current 2026-10-19 11:44

    修复了workflow模式解析逻辑,确保按层级审计;增强了输入缺失时的处理机制,明确报告'NO DATA'而非计算零除错误,提升准确性。

  • 7ed2c3e 2026-09-28 04:02

    修复1.1.0版本因配置命令格式问题导致非自动模式下技能无法运行的Bug,恢复技能正常工作。

  • 984023d 2026-07-25 09:36

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