Conciseness

The body is lean and command-driven with no explanation of concepts Claude already knows, but the 'Script Interfaces' section partially repeats the workflow commands, and 'Versioning Policy'/'Rollout Strategy' restate parts of the regression loop. These minor redundancies fit anchor 4 rather than the every-token-earns-its-place anchor 5.

Actionability

Provides copy-paste-ready commands with full flags for both scripts (including a concrete --runner-cmd example) and enumerates the test-case schema fields (expected_contains, forbidden_contains, expected_regex). A complete example testcases.json is not shown inline, leaving a minor gap that keeps it below anchor 5.

Workflow Clarity

Four numbered workflows with explicit validation gates: 'Promote only if score and safety constraints improve,' a pre-promotion checklist ('A/B score improves and violation count stays at zero'), and a feedback loop ('Track post-release feedback and feed new failure cases back into test suite'). This matches anchor 5's explicit validation steps, feedback loops, and checklists; it is clearly above anchor 4, which allows validation gaps.

Progressive Disclosure

Sections are clear and references are one level deep, each with a descriptive one-line summary (templates, technique guide, evaluation rubric). However, the referenced files (references/*.md, scripts/*.py) are not present in the bundle, so navigation cannot be verified and the links may be broken — more than the ideal of anchor 5, fitting anchor 4's 'minor organization gaps.'

Specificity

Lists multiple specific concrete actions with enumerated sub-capabilities: 'A/B prompt evaluation against structured test cases, immutable prompt version history with diffs, ready-to-use marketing prompt templates (ad copy, email campaigns, social posts, landing pages, SEO meta), and an LLM-governance playbook (claim discipline, disclosure rules, human-review gates)'. Coverage is comprehensive with no meaningful gaps, matching the anchor-5 example's breadth.

Completeness

Explicitly answers both: what ('Turns marketing prompts into tested, versioned production assets' with enumerated capabilities) and when ('Use when a marketing team relies on AI-generated content and needs prompt quality to be measurable and safe'), with concrete trigger phrases. Third-person voice ('Turns') means no voice penalty.

Trigger Term Quality

Includes natural phrases users would say: 'prompt engineering,' 'improve my prompts,' 'prompt templates,' 'prompt versioning,' 'AI content workflow,' 'AI governance for marketing.' Coverage is good but misses common variations such as 'A/B test my prompts,' 'prompt testing,' or 'prompt optimization,' so it fits anchor 4 rather than the comprehensive synonym coverage of anchor 5.

Distinctiveness Conflict Risk

The marketing-team niche and triggers like 'AI governance for marketing' are distinct, but broader triggers like 'prompt engineering' or 'improve my prompts' could also match a general prompt-improvement skill — minor overlap risk with closely related skills, matching anchor 4.