Content
46%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 identifies the right patterns (action loop, sandboxing, official tool integration) and includes genuinely useful infrastructure code, but it is compromised by truncated code blocks, a placeholder Sharp Edges table, an empty filler When-to-Use section, and no file-level organization. It reads as an unfinished draft that needs completion and restructuring.
Suggestions
Complete the three Python code blocks that are cut off mid-line (ComputerUseAgent.execute_action, the runtime sandboxing wrapper, and AnthropicComputerUse._handle_computer_action) — currently they are non-executable fragments.
Replace the placeholder Sharp Edges table (rows of literal "Issue | critical | ## ...") and the filler "When to Use" section with actual issue/severity/solution content or remove them.
Split the Dockerfile, docker-compose, and full agent implementations into reference files (e.g., references/sandbox-docker.md, references/anthropic-implementation.md), keeping SKILL.md as a lean overview with well-signaled one-level-deep links, and add validation checkpoints (verify sandbox is running, confirm action success) to the main workflow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly dense code and pattern lists, but contains clear padding: a dead "## When to Use" section ("This skill is applicable to execute the workflow or actions described in the overview"), dated model-marketing remarks ("Claude 3.5 Sonnet was the first frontier model to offer computer use"), and a placeholder Sharp Edges table. Not 4 because several sections add no actionable value. | 3 / 5 |
Actionability | The Dockerfile and docker-compose.yml are concrete and near-executable, but all three Python blocks are truncated mid-line ("f\"scrolled {dir", "from dataclasses im", and the screenshot read cut off mid-function), and the Sharp Edges table has literal "Issue" placeholder cells instead of real solutions. Concrete guidance exists but is incomplete — matching the anchor for incomplete/unfinished code. | 3 / 5 |
Workflow Clarity | The perception-reasoning-action loop (1. PERCEPTION ... 4. FEEDBACK) and the five sandbox isolation requirements are enumerated, giving a rough sequence, but there are no validation checkpoints or error-recovery loops anywhere (e.g., verifying the sandbox is up, confirming actions succeeded, handling execution failures). | 3 / 5 |
Progressive Disclosure | This is a single monolithic file with 200+ lines of inlined Dockerfile, docker-compose, and Python implementation details that clearly belong in separate reference files (e.g., references/docker-setup.md, references/agent-implementation.py). No external references exist at all, matching the anchor for content inlined that should be separate; not 3 because there are no references present to signal. | 2 / 5 |
Total | 11 / 20 Passed |