Content
78%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.
Well-structured, actionable, and exemplar progressive disclosure with real reference files. Main gap is a thin end-to-end workflow showing how to call the listed signal functions on CZSC output.
Suggestions
Extend the quick-start with a short, runnable example that calls a signal function (e.g. cxt_first_buy_V221126) on c and interprets the 1/-1/0 result.
Use enough bars (or note the minimum) so the example would actually produce 分型/笔/中枢 instead of a single RawBar.
Show how multi-period analysis is invoked, since it is advertised in the description but not demonstrated in the body.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean tables and executable code with minimal padding; the domain concepts (缠论 pipeline, 分型/笔/中枢) are non-obvious so explaining them is justified, though a few framing sentences could be trimmed. | 4 / 5 |
Actionability | Provides an executable quick-start (imports, RawBar, CZSC), a pip install command, a signal-function table, and a data-format table; minor gaps — the single-bar sample cannot actually detect structures and signal functions are listed but not invoked. | 4 / 5 |
Workflow Clarity | Read-only analysis so the destructive/batch validation cap does not apply; the prepare → CZSC(bars) → read results sequence is clear, but applying the signal functions is not demonstrated as an explicit step. | 4 / 5 |
Progressive Disclosure | SKILL.md is a clear overview with six real, one-level-deep reference files (核心概念/{分型,笔,中枢}, 买卖点/{一买一卖,二买二卖,三买三卖}) linked explicitly in tables and organized by category. | 5 / 5 |
Total | 17 / 20 Passed |