Content
76%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 content is highly actionable with concrete tool calls, parameters, and a worked example, and the workflow is clearly sequenced with exit detection. Main weakness is mild redundancy across the diagram, critical rules, and common-mistakes sections that inflates token usage.
Suggestions
Remove the graphviz diagram (or the 'Critical Rules'/'Common Mistakes' tables) since they restate the same loop and exit logic already covered by the parameter table and example flow.
Collapse 'Critical Rules' and 'Common Mistakes' into a single concise list to cut redundancy.
If keeping the diagram, ensure the markdown code fence is a valid language tag rather than the stray 'dot' token to avoid rendering issues.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient, but the graphviz diagram and the 'Critical Rules'/'Common Mistakes' sections restate information already conveyed by the parameter table and exit conditions, adding tokens that could be trimmed. | 3 / 5 |
Actionability | Provides the concrete tool name mcp__voicemode__converse, an explicit parameter table with values, and a fully worked example flow with exact calls — copy-paste ready and covering common cases. | 5 / 5 |
Workflow Clarity | The loop sequence is clear with an explicit exit-phrase checkpoint each turn and a clean farewell step; it stops short of 5 because the validation step is simple exit detection rather than a feedback loop for error recovery. | 4 / 5 |
Progressive Disclosure | Content is well-organized into clearly headed sections with no nested references and no bundle files needed; it sits just over the ~50-line simple-skill threshold, so a 5 is not fully warranted. | 4 / 5 |
Total | 16 / 20 Passed |