Content
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a strong, lean, command-driven reference with executable examples and a golden path that includes a preview checkpoint and a reattach recovery loop. The main gap is progressive disclosure: all material lives inline in a single ~100-line file with no external references to split out detailed sections.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and command-dense, assumes Claude knows CLI basics, and avoids explaining concepts Claude already knows; the one-line intro ('Oracle bundles your prompt + selected files into one 'one-shot' request...') earns its place as useful framing rather than padding. | 3 / 3 |
Actionability | It provides fully executable, copy-paste-ready commands throughout (e.g., 'oracle --dry-run summary -p "<task>" --file "src/**"' and 'oracle --engine browser --model gpt-5.2-pro -p "<task>" --file "src/**"'), with concrete flags and values rather than pseudocode. | 3 / 3 |
Workflow Clarity | The Golden path is a clear 4-step sequence with an explicit verification checkpoint ('Preview payload + token spend (--dry-run + --files-report)') and a recovery feedback loop ('If the run detaches/timeouts: reattach to the stored session (don't re-run)'), matching the anchor for clear sequencing with validation steps. | 3 / 3 |
Progressive Disclosure | The content is well-organized into clear sections, but at ~100 lines everything is inline in SKILL.md with no bundle files or one-level-deep external references; reference-style material (file-attachment defaults, engines, sessions) that could be split out is inline, so it does not reach the 'overview pointing to detailed materials' anchor. | 2 / 3 |
Total | 11 / 12 Passed |