Content
68%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 dense, well-organized knowledge reference with concrete prompt examples, quantified pitfalls, and a layout skeleton — genuinely useful to a capable model. Its main weaknesses are the absence of an explicit sequenced workflow with validation checkpoints (it reads as a topic survey rather than an SOP) and references to files that are not part of the skill bundle.
Suggestions
Add an explicit step-by-step procedure with validation checkpoints for the skill's own tasks — e.g., auditing an existing system prompt: check static-prefix stability → apply the four dimensions → verify against the 常见陷阱 checklist → confirm with an ablation run.
Trim or compress the explanations of concepts Claude already knows (message roles, the ReAct loop, Markdown/XML tag semantics) into a single reference line each to reclaim context budget.
Bundle the cited materials (book/chapter2.md, chapter1/context/, chapter2/prompt-engineering/) as actual reference files, or restate the pointers so it is clear they are external resources rather than skill-bundled paths.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and mostly novel (「任务成功率下降超过 30%」「工具调用错误率增加 45%」「每分钟 $0.05」), but a few one-liners restate basics Claude already knows — the message-role enumeration 「`system`(开发者规则,通常只有一条且在最前)、`user`(终端用户输入)…」, the ReAct loop description, and Markdown/XML tag semantics. Not 3: these are minor, trimmable instances in an otherwise tight document; not 5: they still exist. | 4 / 5 |
Actionability | Mostly concrete, usable guidance: exact prompt examples (`You MUST answer concisely with fewer than 4 lines`, `NEVER use percentage_based_one_time for refunds and service cancellations. Use fixed_fee instead.`), explicit thresholds (「>60% 可退款、<30% 拒绝任务」), and a layout skeleton in code. Not 5: the Python skeleton's functions (`compress_old_evidence`, `make_status_message`) are undefined templates and the flexibility is not explicitly justified. | 4 / 5 |
Workflow Clarity | Organization is thematic (何时使用 → 核心原则 → 实践模式 1–5 → 常见陷阱) rather than a sequenced procedure; there is no explicit step-by-step workflow with validation checkpoints or feedback loops for the design/audit tasks the skill guides. Not 4: no clear sequence of steps for the reader to follow exists; not 2: the thematic structure and when-to-use section do provide rough guidance. | 3 / 5 |
Progressive Disclosure | Clear heading hierarchy with a dedicated 「深度阅读」 section listing one-level-deep references, and the 「配套代码」 section points to companion code. Not 5: cited paths (`book/chapter2.md`, `chapter1/context/`, `chapter2/prompt-engineering/`) and the `kv-cache-design` skill are not bundled with this skill, so the references dangle; not 3: structure and signaling within the file are good. | 4 / 5 |
Total | 15 / 20 Passed |