Content
14%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill reads as a high-level outline or table of contents rather than actionable instructions. It names 13 security verification categories but provides no concrete guidance on how to perform any of them—no checklists, no specific questions, no pass/fail criteria, no tools, and no examples. The referenced template file doesn't exist in the bundle, and the complexity of the topic demands significantly more supporting material.
Suggestions
Add concrete, actionable checklists for each of the 13 categories with specific questions to answer, criteria to evaluate, and pass/fail thresholds (e.g., 'Verify that all training data sources have documented provenance records — check for X, Y, Z').
Provide the referenced `templates/finding.md` file and create supporting detail files for each category to enable progressive disclosure (e.g., `categories/01-training-data.md` with detailed verification steps).
Include at least one worked example showing what a complete finding looks like for one category, demonstrating the expected depth and format of the assessment output.
Add validation checkpoints and a workflow for the overall assessment process (e.g., 'Complete categories 1-5 first as they are prerequisites; validate findings with stakeholders before proceeding to categories 6-13').
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is moderately efficient but includes some unnecessary elaboration in the category descriptions (e.g., listing sub-topics like 'provenance, bias detection, and governance controls' for each of the 13 categories adds bulk without actionable specificity). The descriptions read more like a table of contents than instructions. | 2 / 3 |
Actionability | The skill provides no concrete guidance on how to actually perform any of the 13 verification steps. There are no specific commands, code, checklists, questions to ask, tools to use, or criteria to evaluate against—just abstract category descriptions like 'Assess data quality' and 'Evaluate input sanitization' without explaining what that means in practice. | 1 / 3 |
Workflow Clarity | While the 13 categories are numbered, there is no actual workflow—no sequencing rationale, no validation checkpoints, no feedback loops, and no guidance on how to proceed through the assessment. Each step is essentially 'assess X' with no indication of how to assess it, what constitutes a pass/fail, or what to do with findings. | 1 / 3 |
Progressive Disclosure | The skill references `templates/finding.md` but no bundle files are provided, making this a dead reference. There are no supporting files for any of the 13 categories despite each being complex enough to warrant detailed sub-documents with specific checklists, criteria, and examples. The OWASP references section lists documents without links or actionable pointers. | 1 / 3 |
Total | 5 / 12 Passed |