Content
85%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 body is a tight, well-structured instruction skill with concrete tool calls, explicit validation, and a failure-recovery loop. The only gaps are minor: a small amount of intro restatement and the absence of call-parameter examples.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean with no concept over-explanation and assumes Claude's competence with MCP tools; only the second intro sentence ('uses the same backend workflow as the Animate Images interface') could be trimmed. | 4 / 5 |
Actionability | Concrete executable tool names (estimate_animate_image, submit_animate_image, get_animate_image) drive an explicit sequence, but no parameter or call-shape examples are given, leaving a minor gap. | 4 / 5 |
Workflow Clarity | Seven clearly sequenced steps include explicit validation checkpoints (confirm credits before generation, poll to completion) and a failure feedback loop (report backend reason before retry), plus a Rules checklist. | 5 / 5 |
Progressive Disclosure | The skill is under 50 lines, single-purpose, needs no external references, and is organized into clear Prerequisite, Workflow, and Rules sections, satisfying the simple-skill exception. | 5 / 5 |
Total | 18 / 20 Passed |