Content
82%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.
The body is highly actionable with concrete commands, a real payload schema, and a gated ask-before-apply workflow, all in a well-structured single file; only minor conciseness and feedback-loop gaps keep it from top marks.
Suggestions
Add an explicit error-recovery step for a failed `--apply` (e.g. re-run `gbrain advisor --json`, inspect the finding, retry or report) to make the feedback loop explicit.
De-duplicate the read-only/ask-first guarantees between the Contract and Anti-Patterns sections to tighten conciseness.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and assumes Claude's competence — it documents gbrain-specific semantics (exit codes, JSON payload) Claude wouldn't know rather than padding with general concepts; minor repetition of read-only/ask-first across Contract and Anti-Patterns could be trimmed. | 4 / 5 |
Actionability | Fully executable guidance: concrete commands (`gbrain advisor --json`, `gbrain advisor --apply <dispatch_id>`), the exact JSON payload shape, exit-code severity gate, and a copy-ready output template covering common cases. | 5 / 5 |
Workflow Clarity | Clear numbered sequence with explicit checkpoints — severity-gate exit codes, "ask whether to run it", "Never run a fix the user didn't approve" — and a new-since-last-run delta; not a 5 because error-recovery feedback for a failed `--apply` is only implicit. | 4 / 5 |
Progressive Disclosure | Well-organized single-file skill with clearly labeled sections and one-level, clearly signaled references (brain-first convention, cron-scheduler skill); no bundle files exist so structure is assessed on sectioning, which is strong but the file is slightly over the 50-line simple-skill threshold. | 4 / 5 |
Total | 17 / 20 Passed |