The body is mostly efficient with concrete code and a compact reference table, but DEFAULT_NEGATIVE_PROMPT is defined and re-assembled in two separate code blocks and the User-Facing Guidelines mix in generic advice ('Rate limit prompt submissions -- prevent abuse'). It is above a 1 because it avoids explaining concepts Claude already knows, but short of a 3 due to the redundancy and generic guidance that could be tightened.

It provides multiple complete, executable Python implementations (PromptFilter, safe_request, SafeKlingClient, handle_policy_rejection) that are copy-paste ready with specific methods and return shapes. It is a 3 rather than a 2 because the code is fully executable rather than pseudocode and missing no key details.

A filter-then-submit-then-handle-rejection sequence is implied across sections and the filter's check() acts as a validation gate, but no explicit end-to-end workflow with sequenced checkpoints is documented. It is a 2 rather than a 1 because the sequence and a gate exist, but not a 3 because the checkpoints remain implicit rather than laid out as a clear process.

Sections are well organized, but five bundle files exist in references/ (content-filter-implementation.md, content-moderation-service.md, errors.md, examples.md, policy-violation-logger.md) and none are linked or signaled from the body, while content that could live in them is inlined. It is a 2 rather than a 1 because structure is present, but not a 3 because the provided references are neither signaled nor navigated.

It names the Kling AI content-policy domain and a couple of actions ('filtering user prompts', 'handling moderation'), but the verb 'Implement content policy compliance' is abstract and the action list is not comprehensive. It is above a 1 because concrete domain and actions are present, but short of a 3 because it does not enumerate multiple specific concrete actions.

It states what the skill does ('Implement content policy compliance for Kling AI prompts and outputs') and explicitly when to use it ('Use when filtering user prompts or handling moderation. Trigger with phrases like...'). Because an explicit 'Use when...' clause with triggers is present, it is a 3 and not capped at 2.

It lists four natural trigger phrases a user would plausibly say ('klingai content policy', 'kling ai moderation', 'safe video generation', 'klingai content filter'), giving good coverage. It is a 3 rather than a 2 because multiple realistic natural-language triggers are explicitly enumerated.

The Kling AI content-policy niche is narrow and the triggers ('klingai content policy', 'kling ai moderation') are distinct, making conflict with other skills unlikely. It is a 3 rather than a 2 because the niche and triggers are clearly distinguishable.