Content
31%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 suffers severely from verbosity and repetition—the same enumerated lists of MiFID II concerns appear in nearly every section, inflating the content without adding value. While the workflow structure is reasonable and the progressive disclosure via external references is well-signaled, the complete absence of concrete code examples, sample outputs, or executable guidance makes it difficult for Claude to act on. The skill reads more like a regulatory compliance policy document than an actionable engineering skill.
Suggestions
Eliminate the extensive repetition of concern lists (client classification, suitability, appropriateness, order-handling, etc.) across sections—define them once in a concise scope section and reference that list elsewhere.
Add at least 2-3 concrete Java code examples showing what MiFID II engineering evidence looks like (e.g., a client classification annotation, an audit log entry, a suitability check interface) rather than relying entirely on an external examples file.
Add a brief example of a completed questionnaire answer and a sample report excerpt so Claude knows the expected output format without needing to read external files first.
Add explicit validation checkpoints in the workflow, such as 'Verify all 20 questionnaire answers are evidence-backed or marked Unknown before proceeding to step 4' with a concrete check mechanism.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose and repetitive. The same lists of concerns (client classification, suitability, appropriateness, order-handling, best-execution, algorithmic-trading governance, etc.) are repeated nearly verbatim across the introduction, scope, constraints, workflow steps, and other sections. The skill extensively explains what MiFID II is and what it covers, which Claude doesn't need repeated 8+ times. The content could be reduced by 60-70% without losing actionable information. | 1 / 5 |
Actionability | The skill provides no concrete code examples, no specific commands, no executable snippets, and no sample outputs. It is entirely procedural prose directing Claude to read files, complete questionnaires, and generate reports, but never shows what any of these look like in practice. The referenced engineering examples file is not provided in the bundle, so the skill body itself contains only abstract direction. | 2 / 5 |
Workflow Clarity | The 6-step workflow is clearly sequenced and logically ordered (read references → complete questionnaire → classify scope → review implementation → document recommendations → generate report). However, there are no explicit validation checkpoints or feedback loops for error recovery. For a skill involving compliance review of production systems (a high-stakes domain), the absence of verification steps (e.g., validate questionnaire completeness before proceeding, verify evidence gaps are flagged before report generation) is a notable gap. | 3 / 5 |
Progressive Disclosure | The skill appropriately references external files for detailed content: a chapters summary, engineering examples, a questionnaire, and a report template. References are clearly signaled with paths and descriptions. However, since no bundle files were provided, we cannot verify the references exist or are well-structured. The main file itself is still too long due to repetition rather than content that should be in separate files, which slightly undermines the disclosure structure. | 4 / 5 |
Total | 10 / 20 Passed |