Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is highly actionable with a clear, validated workflow and clean structure, but it carries some concept-restating padding and an example schema that do not earn their tokens.
Suggestions
Trim "What Observation Contains" bullet lists to the non-obvious fields only; the agent perceives the obvious ones at runtime.
Shorten or remove the "Notes on State" editorial paragraph, keeping only any actionable constraint.
Consider collapsing the example observation_ctx.json to the few fields downstream skills actually rely on.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient, but sections like "What Observation Contains" and the full example observation_ctx JSON restate concepts/structures the runtime already defines, and "Notes on State" is editorial commentary that could be trimmed. | 2 / 3 |
Actionability | Concrete codegen calls with explicit instruction/ctx fields, copy-paste workspace_write snippets, and a real JSON context structure provide fully executable, specific guidance. | 3 / 3 |
Workflow Clarity | A clear numbered sequence includes an explicit status checkpoint (in_progress -> call done, resume next tick) and error handling, giving a feedback loop for the only branching case. | 3 / 3 |
Progressive Disclosure | A single self-contained SKILL.md with well-organized sections and no bundle files fits the simple-skill exception; referenced state files are runtime artifacts, not nested bundle references. | 3 / 3 |
Total | 11 / 12 Passed |