Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, token-efficient instruction skill: a clear mental model, a sequenced four-step workflow with explicit validation/corroboration checkpoints, exact MCP tool and parameter names, and a precise status triage table. It stays lean, points only one level deep to sibling skills, and assumes Claude's competence throughout.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and load-bearing — exact tool names, field semantics, status/error_reason values, and edge cases — without padding on concepts Claude already knows; the one or two restatements of 'corroborate before acting' are minor reinforcement, not wasted tokens. | 3 / 3 |
Actionability | Gives concrete, executable guidance via named MCP tools and parameters throughout (e.g. 'vision-scanners-observations-list' with 'status=succeeded', 'order_by=-result_score', 'vision-quota-retrieve') plus a fully specified status/error_reason triage table, which for an API/MCP skill is the copy-paste-ready form. | 3 / 3 |
Workflow Clarity | A clear 4-step sequence (Anchor → Pull → Read → Act) with explicit checkpoints: 'call vision-scanners-get before reading results', the status triage table to avoid mistaking non-results, 'corroborate before you create work', and a quota check before batch on-demand scans. | 3 / 3 |
Progressive Disclosure | No bundle files exist, so all references are inline sibling-skill handoffs ([[creating-replay-vision-scanners]], [[investigating-replay]], [[inbox-exploration]]) that are clearly signaled and one level deep, with no nested chase; the body is well organized into Mental model, Steps 1–4, and Gotchas. | 3 / 3 |
Total | 12 / 12 Passed |