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Pre-publication quality gate for authored Markdown — heading structure, on-disk link resolution, readability, accessibility, terminology.
Passed 19 of 22 test cases with the skill, and 8 of 22 without it.
and 14 more in the full report
11 fixed8 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
I'm preparing to publish a new technical guide (`docs/guides/auth-setup.md`) for specialist developers. Before converting it into HTML for our site, could you review the document for potential structural defects, accessibility compliance like missing image descriptions, local link integrity, and terminology consistency? Provide a clear breakdown of findings sorted by whether they should block release, list any warnings or recommendations, and give me a final pass/fail determination.
| Checked | Without skill | With skill |
|---|---|---|
| Inquires about unconfirmed document review parameters before providing a final verdict. | Missed | Passed |
| Asks about the required frontmatter fields. | Missed | Passed |
The instructions your model reads when the skill loads.
The quality gate that runs before Markdown becomes HTML. A converter will happily render a document with three H1s, four dead links, an image with no alt text, and a 67-word sentence — the HTML validates and the page is still bad. This skill catches those defects while they are still cheap to fix, and fails the build when they are blocking.
Zero network calls, by design. Relative links and anchors resolve on disk; external URLs are inventoried and reported but never fetched. A gate that fails because someone else's server was slow is a gate engineers learn to ignore.
front-end vs frontend, GitHub vs Github)/docs/...) linksBefore generating, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
test cases passed, vs 8 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.