Conciseness

The body is efficient: copy-paste templates, two decision tables, and terse bullet lists with almost no padding. The 'Regulatory Considerations' section (e.g. 'Transparency obligations for AI-generated content', 'Executive orders and agency policies on AI use') is background Claude largely already knows and could be trimmed to one line, matching the anchor 'Efficient; minor instances of over-explanation that could be trimmed' rather than the fully lean score-5 anchor.

Actionability

Three complete, copy-paste-ready disclaimer templates (Short, Medium, Full), a level-selection table by output type, a per-command mapping ('/data-describe → Full'), and a fallback rule ('When in doubt, use the Full disclaimer') cover the common cases completely. This matches the anchor 'Fully executable; copy-paste ready code or commands; specific examples cover the common cases'.

Workflow Clarity

For a simple single-purpose skill, the action is unambiguous: check 'When to Apply' criteria, pick a level via the 'Choosing the Right Level' table, and use the 'Integration with Commands' mapping for the command that produced the output. The rubric's simple-skill exception applies, and no destructive or batch operations are involved, so no validation cap applies.

Progressive Disclosure

No bundle files exist, and the body is well organized into clearly headed sections (templates, level selection, attribution, command integration, regulatory). At ~107 lines it exceeds the under-50-line simple-skill exception, and the regulatory section is arguably reference material that could live in a separate file, matching 'Good structure; most content is appropriately placed; minor organization gaps' rather than the well-split score-5 anchor.

Specificity

The description names its domain ('disclaimer and attribution templates') and one concrete deliverable (templates), quoting: 'Standard disclaimer and attribution templates for AI-generated or AI-assisted data analysis outputs'. It does not list multiple specific actions, matching the anchor 'Names domain and 1-2 concrete actions, but not comprehensive' rather than the score-4 anchor 'Lists several specific actions'.

Completeness

The 'what' is clear (standard disclaimer and attribution templates for AI outputs) but there is no 'Use when...' clause or equivalent trigger guidance, so per the judging guidelines completeness is capped at 3: 'Has a clear what but when is missing or only weakly implied'.

Trigger Term Quality

It contains relevant keywords users would say ('disclaimer', 'attribution', 'AI-generated', 'AI-assisted', 'data analysis') but misses common natural variations such as 'disclosure', 'AI content', or 'add a disclaimer'. This matches the anchor 'Some relevant keywords but missing common variations or synonyms', below the good-coverage level of score 4.

Distinctiveness Conflict Risk

The niche is clear and specific (disclaimer/attribution templates for AI data-analysis outputs), which makes conflict with other skills unlikely. It falls short of score 5 only because the phrasing does not include explicit trigger phrases that would fully separate it from generic citation or attribution skills.