Content
81%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.
An exceptionally actionable and well-sequenced orchestration skill: every phase has concrete commands, schemas, severity definitions, and fallback paths, and the bundle's reference/script structure is real and clearly navigated. The costs are conciseness — an inline duplicated rubric pack and hard-pinned version numbers that will age — which also slightly dilutes an otherwise clean progressive-disclosure design.
Suggestions
Move the 内置审查基准包 to a dedicated reference file (e.g. references/embedded-rubric.md) and keep only a two-line pointer plus the rule that it must be used when paths are unreadable — this cuts ~45 lines from SKILL.md without losing the fallback behavior.
Externalize volatile version pins (「agents_version: 36」「ZCode 3.3.4」) into a small version-note reference or a single constants section so the rules referencing them do not silently rot across upgrades.
The Phase 0 per-platform agent-validation details (four platforms' frontmatter/TOML formats) could live in references/agent-validation.md, leaving Phase 0 with the decision logic and a pointer.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and telegraphic with essentially no explanation of concepts Claude already knows, but it carries two real efficiency costs: a ~45-line inline 内置审查基准包 that duplicates references/quality-rubric.md content, and hard-pinned version numbers (「agents_version: 36」「ZCode 3.3.4」) embedded directly in rules, which is time-sensitive detail that will silently rot. This fits anchor 3 (mostly efficient but includes content that could be tightened/moved) more than anchor 4's minor-trimmings-only bar. | 3 / 5 |
Actionability | Guidance is fully concrete throughout: copy-pasteable script invocations (「node scripts/normalize-punctuation.js --check <正文文件...>」), an exact YAML findings schema with field-level rules, explicit S1–S4 severity definitions, a fixed-format 技术备注 output line, and literal fallback strings to write on each failure path. For an instruction-only skill this is the anchor-5 case — specific, executable guidance covering the common modes. | 5 / 5 |
Workflow Clarity | Phases 0–4 are explicitly sequenced with a mandatory precheck/degradation phase before any spawn, per-step validation (agent file existence + frontmatter/TOML parseability per platform, tool availability), and explicit feedback loops on failure (spawn failed → stop, re-run as solo; 「不要把部分成功的 Agent 结果当成 full/lean 结论」). This matches anchor 5's clear sequence with validation steps and error-recovery loops. | 5 / 5 |
Progressive Disclosure | Structure is good: the body is an orchestrator with clearly signaled one-level-deep markdown links to real bundle files (agent-prompts.md, solo.md, batch-review.md, style-resolution.md, review-tracking.md — all verified present), scripts invoked by concrete path, and deeper material (tracking-transaction.md) correctly gated behind error conditions in a reference file. The one gap versus anchor 5 is the ~45-line embedded rubric fallback pack inlined in the body; although its placement is justified as the offline fallback, it is bulk reference-style content living in SKILL.md. | 4 / 5 |
Total | 17 / 20 Passed |