chanlun

基于缠论（缠中说禅）的形态识别引擎，使用czsc库自动检测K线分型、笔、中枢，并生成一买/一卖/二买/二卖/三买/三卖等买卖点信号。支持多周期分析和形态分类（3/5/7/9/11笔形态）。

Quality

91%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The skill body is well-structured and token-efficient, combining executable code, precise data-format specs, and cleanly signaled one-level-deep reference files that all resolve to real bundle content.

Dimension	Reasoning	Score
Conciseness	The body is lean — mostly tables and executable code with minimal prose — and does not over-explain concepts Claude already knows, so every section earns its place.	3 / 3
Actionability	Provides executable quick-start code (RawBar/CZSC), a concrete 'pip install czsc requests pandas' command, and a precise RawBar field table, making it copy-paste ready.	3 / 3
Workflow Clarity	This is a simple single-action skill (install → prepare bars → CZSC(bars) → read signals) with an unambiguous quick start; no destructive/batch operations are involved, so the per-rubric simple-skill allowance applies.	3 / 3
Progressive Disclosure	Clear overview tables link to one-level-deep references under references/核心概念/ and references/买卖点/, all of which exist as real bundle files, with content appropriately split and easy to navigate.	3 / 3
	Total	12 / 12 Passed

Description

82%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A specific, well-scoped description that names concrete capabilities and uses distinctive domain terms, but it omits an explicit 'Use when…' trigger clause so it does not fully answer when the skill should activate.

Suggestions

Append an explicit trigger clause, e.g. 'Use when the user wants 缠论/Chan-theory pattern analysis, buy/sell point signals, or works with the czsc library.'

Add common phrasing variations users might say (e.g. '技术分析', '交易信号', '缠论分析') to broaden trigger coverage.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions such as '自动检测K线分型、笔、中枢', '生成…买卖点信号', and '支持多周期分析和形态分类', matching the 'lists multiple specific concrete actions' anchor.	3 / 3
Completeness	Clearly answers 'what' (detects fractals/strokes/pivots and generates buy/sell signals) but provides no explicit 'Use when…' trigger clause, capping completeness at 2 per the rubric guideline.	2 / 3
Trigger Term Quality	Uses domain-native natural terms a Chan-theory user would actually say — '缠论（缠中说禅）', '买卖点信号', '形态识别', '多周期分析' — giving good coverage of natural trigger terms.	3 / 3
Distinctiveness Conflict Risk	The 缠论/czsc niche is highly specific with distinct triggers, making it unlikely to fire for unrelated skills.	3 / 3
	Total	11 / 12 Passed

Validation

87%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning
relative_links	Relative link issues: 6 deeper-than-1-level	Warning

	Total	14 / 16 Passed

Repository: HKUDS/Vibe-Trading
Path: agent/src/skills/chanlun/SKILL.md
Commit: 8643fcd

Reviewed: 2 days ago

Table of Contents

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