Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A high-quality instruction skill: lean and fluff-free prose, concrete executable commands and a precise decision-logging structure, clearly sequenced workflows with explicit validation and feedback loops, and a well-structured progressive-disclosure layout pointing to real, one-level-deep bundle files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense, information-rich prose with no fluff and no explanation of concepts Claude already knows; every sentence carries load-bearing guidance for a multi-intent skill, matching the score-3 anchor where every token earns its place. | 3 / 3 |
Actionability | It provides concrete, copy-paste-ready commands ('uv run {project-root}/_bmad/scripts/memlog.py init --workspace … --field scope="…"'), named file paths, and a precise decision structure (AD-n with Binds/Prevents/Rule), matching the score-3 anchor for fully executable guidance. | 3 / 3 |
Workflow Clarity | Multi-step processes are clearly sequenced (Finalize: 8 numbered steps; Activation: 6) with explicit validation checkpoints — the Reviewer Gate's 'deterministic lint_spine.py pass', reconcile, and triage steps form validate→fix→retry feedback loops, matching the score-3 anchor. | 3 / 3 |
Progressive Disclosure | The body is a terse overview that offloads detail to well-signaled, one-level-deep references (references/headless.md, references/reviewer-gate.md, assets/spine-template.md, scripts/lint_spine.py), all verified to exist with no 2+-level knowledge nesting, matching the score-3 anchor. | 3 / 3 |
Total | 12 / 12 Passed |