Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill body is a well-structured, executable workflow with concrete code, explicit thresholds, and a clear ranked selection process backed by a feedback loop for the optional AI-summary path. It is dense and non-obvious rather than padded, with only minor conversational phrasing worth tightening.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes competence: a tight tool table, focused SQL/JSON snippets, and concrete thresholds (10s, 1hr, 2-15 min, 0.3 active ratio) without explaining concepts Claude already knows. A few conversational asides ('needle in a haystack', 'the user walked away') add mild verbosity but earn their place by clarifying non-obvious domain reasoning. | 3 / 3 |
Actionability | Provides fully executable SQL and JSON tool invocations with placeholders plus specific field names (active_seconds, activity_score, scanner_snapshot.scanner_type) and exact selection thresholds — copy-paste ready, not pseudocode. | 3 / 3 |
Workflow Clarity | A clearly numbered 4-step sequence with an explicit 'check-then-scan' feedback loop and a polling-until-succeeded checkpoint in the optional Replay Vision section; candidates are pre-filtered to error-containing sessions, and the operation is non-destructive so no validation cap applies. | 3 / 3 |
Progressive Disclosure | Well-organized into clearly signaled sections with a single appropriately referenced sibling skill (creating-replay-vision-scanners) and no nested references; no bundle files exist to evaluate, and the core workflow is correctly inline rather than pushed out. | 3 / 3 |
Total | 12 / 12 Passed |