Content
82%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 well-constructed knowledge skill: lean, concrete, and dense with non-obvious experimental and production data, with actionable templates, thresholds, and commands throughout. Its weaknesses are mild redundancy between the pitfalls section and earlier sections, and externally-pointed references (companion code and book chapter) that do not resolve inside the skill bundle.
Suggestions
Ship the referenced paths inside the skill bundle — create references/ (or scripts/) copies of the chapter2/context-compression/ experiment and book/chapter2.md content so the 配套代码 and 深度阅读 links resolve when the skill is deployed standalone.
Trim the 常见陷阱 section to only the pitfalls not already stated in 核心原则 and 实践模式 (e.g., keep the statistics-counting and vague-subagent-task items; drop the 阈值触发+批量压缩 and 对噪声做摘要 recaps) to remove duplicate tokens.
Consider moving the full six-strategy comparison table to a reference file (e.g., references/strategy-comparison.md), keeping in SKILL.md only the winner (上下文感知) and the headline numbers, so the main body loads even lighter.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and data-rich with no explanation of concepts Claude already knows — every section carries non-obvious curated knowledge (75% token reduction figures, the 80% threshold with worked numbers 102,400/128K, the five-layer production ladder, the circuit-breaker finding). The only trimmable redundancy is the 常见陷阱 section, which recaps points already made in 核心原则 and 实践模式 (e.g., 阈值触发+批量压缩, 对噪声做摘要). Fits anchor 4 ('efficient; minor instances that could be trimmed') rather than anchor 5, which requires every token to earn its place. | 4 / 5 |
Actionability | For an instruction-only skill the guidance is fully concrete: a copy-paste-ready compression prompt template ("Given the search query: {query}" / "Current context: {context}"), the 80%-of-window trigger threshold, the [COMPRESSED] marker convention, an explicit preserve list (decisions/constraints/failures/citations), a semantic-completeness rule with a worked example (Sutskever, May 2024), and exact commands ("python experiment.py -s context_aware", "-m moonshot-v1-128k", "CONTEXT_WINDOW_SIZE=128K"). Per the rubric's code_vs_instruction note, absence of code blocks is not penalized when guidance is this actionable — matches anchor 5. | 5 / 5 |
Workflow Clarity | Decision paths are clearly sequenced: the five-layer ladder is explicitly ordered 按代价从低到高, a recommended default (自适应窗口化) is named with its three mechanisms, and 常见陷阱 functions as error-recovery guidance. No validation checkpoints are required since the skill teaches design rather than a destructive or batch procedure, so the rubric cap doesn't apply; but the body is organized as reference knowledge rather than an explicit step-by-step procedure with checkpoints, which keeps it below anchor 5 and at anchor 4 ('clear sequence with most checkpoints present') for the decision workflow it does define. | 4 / 5 |
Progressive Disclosure | The body is well-sectioned (何时使用 → 核心原则 → 实践模式 → 常见陷阱 → 配套代码 → 深度阅读) and appropriately sized (~100 lines) for a self-contained overview, with the six-strategy comparison table carrying headline data inline and deeper reproduction delegated to the companion code section. However, per the guideline to score against the actual bundle structure, the referenced paths "chapter2/context-compression/" and "book/chapter2.md" do not exist in the bundle (no references/, scripts/, or assets/ directories), so the outward references dangle. This sits between anchor 4 (good structure, references mostly clear) and anchor 3 (references present but not clearly resolvable) — the strong sectioning keeps it at 4. | 4 / 5 |
Total | 17 / 20 Passed |