Content
68%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.
The skill body is well-structured, lean, and provides concrete MCP tool-call examples with a clear setup-to-execute sequence, but it omits an explicit validation/error-recovery loop after batch tool execution.
Suggestions
Add an explicit validation/feedback step after RUBE_MULTI_EXECUTE_TOOL: check each result for errors, retry or surface failures, and confirm pagination is exhausted before declaring success.
Collapse the standalone Tool Discovery section into Core Workflow Step 1 to remove the duplicated search-guidance content.
Show one end-to-end worked example (search -> connect -> execute -> verify) so the batch-operation feedback loop is concrete rather than implied.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and does not explain concepts Claude already knows (no definition of MCP or Altoviz); the only redundancy is the Tool Discovery section restating Core Workflow Step 1, which could be trimmed. | 4 / 5 |
Actionability | Concrete RUBE_* tool-call blocks with parameters and a Quick Reference mapping operations to approaches are mostly executable; minor gaps are placeholders (TOOL_SLUG_FROM_SEARCH, your_session_id) the model must fill from search results. | 4 / 5 |
Workflow Clarity | The setup/discover/connect/execute sequence is clearly ordered with a connection-ACTIVE checkpoint, but the batch RUBE_MULTI_EXECUTE_TOOL and bulk RUBE_REMOTE_WORKBENCH steps have no explicit result validation or error-handling feedback loop, which caps workflow clarity at 3 for batch operations. | 3 / 5 |
Progressive Disclosure | Content is well-organized into focused sections with no nested references and a single external docs link; with no bundle files present the structure is appropriate, though the 84-line body is slightly above the simple-skill threshold for a top score. | 4 / 5 |
Total | 15 / 20 Passed |