Content
88%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 well-engineered, highly actionable multi-phase workflow with strong validation and an explicit human-approval gate before posting. Its only weakness is mild redundancy and a fairly dense inline body that keeps it just short of the lean-overview ideal.
Suggestions
Consolidate the PR-size rule into one place (Phase 4 references it and 'Additional Rules' restates it) to remove duplication.
Move the enforcer's severity-calibration table into a reference file (e.g. references/severity-calibration.md) and link to it from the Phase 2 agent prompt to slim the inline body.
Tighten Phase 1 prose where commands already convey intent (e.g. the 'Fetch PR metadata (parallel)' section) to reclaim tokens without losing clarity.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient — concrete commands and JSON schemas with no concept explanations Claude already knows — but the PR-size rule is restated in both Phase 4 and 'Additional Rules', and a few procedural lines could be tightened. | 4 / 5 |
Actionability | Fully executable guidance throughout: specific `gh`/`git` commands, a grep regex, a JSON return schema for findings, and concrete AskUserQuestion options, covering the common cases copy-paste ready. | 5 / 5 |
Workflow Clarity | A clearly sequenced six-phase pipeline with explicit validation checkpoints — 'Do NOT trust "resolved" status — read the actual code', a false-positive filter, waiting on the background enforcer, and a mandatory approval gate before any PR-mutating action. | 5 / 5 |
Progressive Disclosure | Good structure with one-level-deep references to real checklist files (backend/frontend/services/sql) signaled by full path, but the SKILL.md itself is a dense procedural monolith rather than a lean overview, leaving minor organization gaps. | 4 / 5 |
Total | 18 / 20 Passed |