Content
73%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 an unusually rigorous, highly actionable judgment framework with excellent workflow sequencing, validation gates, and feedback loops, supported by well-signaled one-level-deep references. Its one serious weakness is token efficiency: the file is roughly three times longer than its core rules require, with self-governance meta-content and dated war stories inflating the context cost.
Suggestions
Move the skill-self-maintenance material (“这份 skill 怎么组织的” admission rules, grep verification procedure, blind-test methodology, and the 2026-07/2026-08/2026-09 dated audit narratives) into a separate reference file such as references/skill-maintenance.md, keeping only a two-line pointer in SKILL.md — this alone would cut a large fraction of the body's token budget.
Compress war stories to their derived criterion plus one short quoted 原话, dropping the surrounding narrative (who said it, when, how many times it was violated) — the dates currently penalize conciseness and will read as stale within months.
Trim the exemption tables and gate sub-clauses to the decision row plus a short reason, removing the inline justifications for why each exemption exists (“这条给它名分,否则诚实的人无路可走” style parentheticals) that repeat across gate items.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is ~738 lines / ~34k tokens, and a substantial share is not visualization guidance but skill self-governance (“加规则之前先读这节”的准入规则、grep 核对流程、盲测方法、grandfather-clause audits) and dated war stories (2026-07、2026-08-07、2026-08-12、2026-09-18) that read as change-log material. The rubric explicitly penalizes time-sensitive dates outside a deprecated/old-patterns section and verbosity even when accurate — this matches 'noticeably verbose; several unnecessary explanations or padded sections' rather than the mostly-efficient level 3. | 2 / 5 |
Actionability | Guidance is maximally concrete for an instruction-only skill: quantified criteria (“top-2 时点占了合计的多少?过半就得在图上让这件事可见”), exact formulas (`0.05 + 0.5*sqrt(value/max)`), explicit three-way procedures (“不画 / 画在另一根线上 / 换成可比口径”), field schemas for dynamic quantification (`{ id, track, operation, label, delta, from, to, at, duration }`), measurement tolerances in CSS px, and a required observable 产物 line after every gate item. Per the rubric's scoring note, absence of code is not penalized when guidance is this actionable; this sits above the 'minor gaps' level-4 anchor. | 5 / 5 |
Workflow Clarity | A clearly sequenced five-phase pipeline (定意图 → 验数据 → 选形 → 编码 → 交付前自检) with a handoff checklist closing each phase, a 9-item DO-CONFIRM delivery gate that demands written, observable artifacts (“写不出来的那条就是没过”), explicit exemption conditions, feedback loops for error recovery (被批之后的系统性分析、逐条 grep 盲测、“当场写回”), and gate↔phase traceability (“闸门对应”). This matches the top anchor: explicit validation steps, feedback loops, and checklists for a complex process; the destructive/batch cap does not apply. | 5 / 5 |
Progressive Disclosure | References are genuinely well done: three real files, one level deep, each listed in a table with a “什么时候读” trigger plus a “先读哪个” routing paragraph, and deep material (chart-selection statistics, visual form selection, perception science) is appropriately external. However the SKILL.md body itself is far from an overview — it inlines 700+ lines of rules, anti-pattern table, and skill-self-maintenance material that the rubric's rationale says should be split, so it fits 'good structure; most content appropriately placed; minor organization gaps' rather than the clear-overview top anchor. | 4 / 5 |
Total | 16 / 20 Passed |