Content
88%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-engineered instructional skill body: highly actionable, with an explicit step sequence, decision gates, and validation loops, and a clean split of detail into four real reference files. The residual issues are minor trimming opportunities and a handful of cross-bundle links whose targets are not verifiable from the skill itself.
Suggestions
Trim the JS-rendering fallback paragraph and the Decision Gates paragraph (which skill NOT to redirect to and why) to one line each, moving the rationale to a reference file — this tightens conciseness toward the lean anchor without losing routing behavior.
De-duplicate the 11-step list: keep one-line step names in SKILL.md and let references/audit-templates.md own the per-step criteria (Step Map plus checklists), reducing overlap between the body and the templates file.
Consolidate or inline the out-of-bundle pointers (skill-contract.md, CONNECTORS.md, SECURITY.md, core-eeat-benchmark.md) into a single 'Plugin resources' reference section so navigation does not depend on unverifiable relative paths.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient and assumes SEO domain knowledge (no concept teaching), but passages like the JS-rendering fallback paragraph and the Decision Gates explanation of why not to redirect to rank-tracker/content-writer/performance-monitor could be trimmed without losing guidance — minor over-explanation, not the pervasive padding of anchor 3. | 4 / 5 |
Actionability | Guidance is fully executable: copy-paste commands (`python3 "${CLAUDE_PLUGIN_ROOT}/scripts/connectors/onpage.py" <url>`, the firecrawl scrape invocation), exact numeric criteria (title 50-60 chars, meta 150-160 chars, first 200 words, 2-3 samples per cluster), and a precise DOM query for JSON-LD verification cover the common cases. | 5 / 5 |
Workflow Clarity | Eleven clearly sequenced steps with explicit Decision Gates (stop-vs-continue conditions), a keyword-inference fallback sub-procedure, validation via the Measured/User-provided/Estimated/N-A labeling rules, a false-negative confirmation loop for JS-injected JSON-LD, and a bulk path whose playbook flags extrapolation confidence and open loops — feedback loops and checkpoints are present throughout. | 5 / 5 |
Progressive Disclosure | Structure is good: four real one-level-deep reference files (scoring-rubric, audit-templates, audit-example, bulk-audit-playbook), each well-signaled in the body and indexed in a Reference Materials section. It falls short of anchor 5 because the body's 11-step list overlaps the templates file's Step Map, and several links point outside the bundle (../../../references/skill-contract.md, ../../../CONNECTORS.md, ../../../SECURITY.md, sibling SKILL.mds) that cannot be verified within this skill's directory, creating minor navigation uncertainty. | 4 / 5 |
Total | 18 / 20 Passed |