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 operational skill: exact tool names, parameters, and defaults for every command, plus an explicit pre-call cost validation and post-call logging loop with error-recovery guidance. Its weaknesses are mild redundancy (the Google Images caveat appears three times) and an inline command reference that is longer than a lean overview plus references would be.
Suggestions
State the 'pinned MCP server has no Google Images tool' caveat once (in the serp-images section) and drop it from the Quick Reference table and the seo-images cross-skill bullet, which can just link to that section.
Move the per-command 'MCP tools / Default parameters / Output' listings for the eight non-SERP modules into a per-category reference file (e.g., references/commands.md), keeping the Quick Reference table plus a few flagship commands inline in SKILL.md.
Trim dated provenance notes like 'checked against the package, 2026-09-23' into a single maintenance note at the top, rather than repeating the package version and check date inside individual command sections.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense reference material — each command section is a terse tool/params/output listing with no explanation of concepts Claude already knows. Not 5 because there is trimmable redundancy: the 'pinned MCP server has no Google Images tool' caveat is stated three times (Quick Reference table, serp-images section, Cross-Skill Integration), the Quick Reference table partially duplicates the section headers, and version/date specifics ('checked against the package, 2026-09-23') pad the prose. Not 3 because nearly every line is actionable data, not filler explanation. | 4 / 5 |
Actionability | Guidance is fully executable throughout: exact MCP tool names per command ('serp_organic_live_advanced'), concrete default parameters (location_code=2840, depth=100), copy-ready cost-check commands ('${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo' run dataforseo_costs.py check <endpoint>), a worked video_id example, and per-tool output schemas. Not 4 because there are no gaps in specificity — commands, parameters, defaults, and outputs are all stated. | 5 / 5 |
Workflow Clarity | The multi-step cost workflow has explicit validation checkpoints with a feedback loop: run cost check before every call, branch on approved/needs_approval/blocked status, log actual cost after the call, with escalation to the user on non-approved statuses. Error handling adds recovery paths per failure mode, and the ai-mentions workflow is a numbered 1-4 sequence. This is a batch/cost-incurring skill where validation is present and explicit, so the missing-validation cap does not apply; not 4 because checkpoints are both explicit and bidirectional (pre-call gate + post-call log). | 5 / 5 |
Progressive Disclosure | Structure is good and references are real and one level deep: 'Load references/cost-tiers.md' and 'Load references/tool-catalog.md when you need to find a specific utility tool' both resolve to existing, well-scoped files. Not 5 because roughly 200 lines of per-command tool/parameter/output listings sit inline in SKILL.md; while the commands are the skill's core interface, the detailed MCP tool listings for the nine API modules could be partially split into per-category reference files, leaving a leaner overview. Not 3 because the split that does exist (pricing, utility catalog) is correctly placed and clearly signaled. | 4 / 5 |
Total | 18 / 20 Passed |