Content
27%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill attempts to cover a complex topic (computer use agents) but suffers from multiple truncated code blocks that render examples non-executable, placeholder content in the sharp edges table, and excessive verbosity without proportional value. The structure dumps everything into one file with no progressive disclosure, and critical safety workflows lack validation checkpoints despite the high-risk nature of desktop automation.
Suggestions
Complete all truncated code blocks or remove them and replace with focused, minimal executable examples that demonstrate one concept each
Fix the sharp edges table - replace placeholder 'Issue' text with actual issue descriptions and provide real solutions instead of vague comments
Split the three major patterns (loop, sandboxing, Anthropic implementation) into separate referenced files, keeping SKILL.md as a concise overview with navigation links
Add explicit validation/verification steps to the workflow, such as 'verify screenshot captured successfully before sending to model' and 'confirm action result before proceeding to next step'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is extremely verbose with large code blocks that are incomplete (truncated mid-function), explains concepts Claude already knows (what a PDF is equivalent: what a screenshot is, what Docker is), and includes unnecessary commentary like 'Claude 3.5 Sonnet was the first frontier model to offer computer use.' The sharp edges table has empty/vague content ('Issue' repeated without actual issue descriptions). | 1 / 3 |
Actionability | The code examples are partially concrete and show real library usage (pyautogui, Anthropic SDK, Docker), but multiple code blocks are truncated mid-function (cut off at 'buffer = io.BytesIO()' equivalent points), making them non-executable. The sharp edges table has placeholder content with no actual solutions, just vague comments like '## ALWAYS use sandboxing'. | 2 / 3 |
Workflow Clarity | The Perception-Reasoning-Action loop is clearly enumerated (4 steps), and the sandboxing section lists isolation requirements. However, there are no validation checkpoints, no error recovery feedback loops, and no guidance on what to do when the agent fails or produces unexpected results. For a system involving destructive desktop operations, this is a significant gap. | 2 / 3 |
Progressive Disclosure | The content is a monolithic wall of text with three large inline code blocks (all truncated). There are no references to external files for detailed content, no clear navigation structure, and the sharp edges table is broken with placeholder content. Everything is dumped into one file with no organization strategy. | 1 / 3 |
Total | 6 / 12 Passed |