Content
50%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a reasonable overview of using Clarvia for tool evaluation but lacks concrete actionability — the core steps are natural language prompts rather than specific MCP tool calls with documented parameters and response formats. The content is moderately verbose with sections that explain things Claude could infer, and the workflow lacks decision points or validation checkpoints that would make it truly useful for autonomous agent operation.
Suggestions
Document the actual MCP tool names (e.g., `aeo_score`, `get_score_breakdown`) with their parameters and expected response schemas instead of relying on natural language prompt examples.
Add a decision checkpoint after scoring: explicitly state what action to take based on score ranges (e.g., 'If score < 50, search for alternatives using the leaderboard before proceeding').
Remove the 'When to Use This Skill' section — these are obvious use cases Claude can infer from the overview — and trim the Best Practices to just the non-obvious items.
Add an example of actual tool invocation and response format so Claude knows exactly what data structure to expect and how to parse the results.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill includes some unnecessary padding — the 'When to Use This Skill' section lists obvious use cases Claude could infer, the 'Best Practices' and 'Common Pitfalls' sections add moderate value but are somewhat verbose, and the overview restates what the description already conveys. The AEO score table is useful reference material but the surrounding prose could be tighter. | 3 / 5 |
Actionability | The skill provides natural language prompts as examples rather than concrete tool invocations or executable code. The MCP config JSON and CI/CD YAML are concrete and useful, but the core workflow steps (Steps 1-4) are essentially prompt suggestions rather than specific tool calls with parameters. There's no documentation of the actual MCP tool names, parameters, or response schemas. | 3 / 5 |
Workflow Clarity | Steps 1-4 are listed sequentially but they're independent actions rather than a connected workflow — there's no validation checkpoint or decision logic (e.g., 'if score < 50, do X'). The CI/CD example with fail-under is the closest to a validation gate but it's presented as a separate example rather than integrated into the workflow. For a tool evaluation skill, there should be explicit guidance on what to do after receiving scores. | 3 / 5 |
Progressive Disclosure | The content is reasonably structured with clear sections, but everything is inlined in a single file. The AEO score table, CI/CD example, and common pitfalls could potentially be in separate reference files. The 'Related Skills' section references other skills which is good, but no bundle files exist to support progressive disclosure. For a skill of this length (~100 lines), the single-file approach is borderline acceptable. | 3 / 5 |
Total | 12 / 20 Passed |