Content
100%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 tightly written, fully actionable multi-agent review workflow with concrete gh commands, explicit validation gates, and a single real one-level-deep reference. It assumes Claude's competence and avoids restating known concepts, though its length is justified by the task's inherent complexity.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and operational with no concept-explanation padding (it never explains what a PR or gh is); length reflects genuine task complexity rather than verbosity, and every section carries actionable instruction, matching the 'lean and efficient; every token earns its place' anchor. | 3 / 3 |
Actionability | Provides fully executable commands, a complete copy-paste review JSON payload with commit_id/comments fields, and exact Markdown link formats, matching the 'fully executable code/commands; copy-paste ready' anchor. | 3 / 3 |
Workflow Clarity | An 8-step sequenced workflow with explicit validation checkpoints (eligibility check at step 1, re-check at step 6, 'Never post... unless step 6 passed', confidence/severity gates, head SHA re-fetch and re-verification), with feedback loops for the destructive outward-facing action of posting a review. | 3 / 3 |
Progressive Disclosure | SKILL.md is a clear overview that signals one-level-deep references to references/subagent-prompts.md (a real file) for the canonical subagent prompts, with no nested/2-level references, matching the 'clear overview with well-signaled one-level-deep references' anchor. | 3 / 3 |
Total | 12 / 12 Passed |