The '根本原因 (Root Cause)' section explains the SSR/hydration concept Claude already knows, and the '关键经验' section restates guidance already in the code; it is mostly efficient but could be tightened, so it sits at level 2 rather than the lean level-3 anchor.

The body provides fully executable, copy-paste-ready Python — a complete `extract_ssr_data` function with real regex patterns plus a jmespath query loop — matching the level-3 anchor of fully executable code with specific examples.

The process is clearly sequenced (locate the SSR block → query with jmespath → fall back to the XHR API), and the code embeds validation (match checks, `isinstance(res, list)` and length checks); this matches the level-3 clear-sequence anchor for a simple, non-destructive task.

There are no bundle files and the body is self-contained, organized into clear sections (Symptoms, Root Cause, Solution, Key Takeaways) with no nested references, satisfying the simple-skill provision for a level-3 score.

The description lists multiple concrete actions — 'extracting data', 'targeting hydration state blocks (__NEXT_DATA__, __NUXT__)', 'using regex and `jmespath`', and 'avoiding brittle DOM selector scraping' — matching the level-3 anchor of several specific concrete actions.

It clearly answers 'what does this do' but contains no 'Use when…' clause or equivalent explicit trigger guidance, which per the judging guidelines caps completeness at 2; it is not a 3 because the 'when' is only implied by the domain framing.

It surfaces terms a user would naturally say when needing this skill — 'Next.js or Nuxt.js', 'React/Vue SSR pages', 'hydration', 'scraping' — giving good coverage of natural phrasing rather than only jargon.

The niche is sharply defined — SSR hydration-block extraction with named frameworks and tools — making it unlikely to trigger for unrelated skills; it is not a 2 because the trigger surface is specific rather than overlapping.