Content
92%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.
A tight, well-structured instruction-only skill: concrete tool names and bank conventions, explicit conditional logic, and a security-conscious rule treating recalled memories as data rather than instructions. The only notable gap is the absence of example call syntax, which keeps actionability just short of fully executable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~20-line body is lean and assumes competence: a two-sentence rationale, five terse numbered steps, and three rules, with every line adding non-obvious guidance and no padding or concept over-explanation, matching anchor 5. | 5 / 5 |
Actionability | The steps name concrete tools and bank naming patterns (`recall`, `grok-bot::<bot-name>`, `grok-bot::shared`, `list_banks`, `list_mental_models`, `get_mental_model`) plus a worked query example, but exact call syntax is not shown and execution depends on external skills (`memory-setup`, `bot-handoff`), leaving minor gaps as at anchor 4. | 4 / 5 |
Workflow Clarity | The five steps are clearly sequenced with explicit conditionals — when to query which banks, when to read the mental model, what to do if a bank does not exist, and how to react when memory changes the plan — giving clear branches and an error-recovery path; the operation is read-only so no validation checkpoint is required, matching anchor 5. | 5 / 5 |
Progressive Disclosure | The skill is under 50 lines with no bundle files and no content that warrants splitting; the body is organized into a rationale, Steps, and Rules sections with cross-references to related skills clearly signaled, which satisfies the simple-skill exception for a top score. | 5 / 5 |
Total | 19 / 20 Passed |