a-stock-predictor

预测A股个股次日走势，输出图文并茂的 Markdown 分析报告（含详细逻辑推导、中间结果、概率量化与操作建议），面向散户与专业投资者均适用。触发条件：用户输入A股股票名称或代码（6位数字，如600519、000858），并希望获得次日走势预测；关键词包括"预测明天走势"、"明天能涨吗"、"A股分析"、"帮我分析XX股票"、"明天该买吗"、"次日预测"、"做T建议"、"短线操作"、"明日行情"、"值得持有吗"、"止盈止损怎么设"等。即使用户只说"帮我看看贵州茅台明天怎么走"或"600519明天能不能买"，也应使用本 skill。输出 Markdown 文件保存到当前项目 markdown/ 目录，要求逻辑清晰、概率可量化、图文并茂，投资小白也能看懂。

Quality

88%

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Securityby

Low

Low-risk findings worth noting

Quality

Content

77%Weight 40%Scale 1-5

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

The body delivers a highly actionable, well-sequenced A-share prediction methodology with strong validation gates, but is verbose and ships as a monolithic file rather than using progressive disclosure to split out the template, visualization, and glossary material.

Suggestions

Move the terminology dictionary, full report template, and visualization specs into separate reference files (e.g. references/report-template.md, references/glossary.md) and link to them from SKILL.md to improve progressive disclosure and reduce token load.

Trim general-knowledge explanations (e.g. what MACD/KDJ/MA5 are) and keep only the A-share-specific nuances (T+1, 涨停板 ±10%, 龙虎榜, 封单) that Claude would not reliably infer.

Consolidate the redundant output-format prescriptions—the 30-second summary block, full report template, and ASCII chart templates overlap; keep one canonical template and reference it.

Dimension	Reasoning	Score
Conciseness	The PACE scoring methodology, search templates, and numeric thresholds earn their place as proprietary domain content, but the ~570-line body includes padding—especially the terminology dictionary explaining general concepts (MACD, KDJ, MA5) Claude already knows and redundant ASCII output-format templates—that could be tightened.	3 / 5
Actionability	Copy-paste-ready search query strings, concrete point-allocation tables with numeric thresholds, a fully specified Step 1–6 execution flow, a report template with placeholders, and explicit risk parameters (-3% hard stop, position tiers) give directly executable guidance.	5 / 5
Workflow Clarity	A clear six-step sequence with explicit validation checkpoints—a 12-item pre-output self-check checklist, three-scenario probabilities that must sum to 100%, and a feedback loop for incomplete data that lowers confidence and takes mid-range dimension scores.	5 / 5
Progressive Disclosure	Good in-file section structure, but it is a single ~570-line document with no external references; the report template, visualization specs, and terminology dictionary are inlined rather than offloaded to one-level-deep reference files.	3 / 5
	Total	16 / 20 Passed

Description

100%Weight 40%Scale 1-5

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

The description is specific, trigger-rich, and clearly distinguishes the skill's A-share next-day-prediction niche. It explicitly covers both capability and activation conditions with concrete example utterances.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions—predict next-day trend, output Markdown report with logical derivations/intermediate results/probability quantification/operating recommendations, and save to markdown/ directory—giving comprehensive coverage of what the skill does.	5 / 5
Completeness	Explicitly answers both 'what' (next-day trend prediction with quantified Markdown report) and 'when' (named trigger conditions, keyword list, and example natural inputs such as "帮我看看贵州茅台明天怎么走").	5 / 5
Trigger Term Quality	Comprehensive natural-language triggers including synonyms and user phrasings ("预测明天走势", "明天能涨吗", "帮我分析XX股票", "明天该买吗", "做T建议", "止盈止损怎么设") plus the 6-digit code format and concrete example utterances.	5 / 5
Distinctiveness Conflict Risk	A highly specific niche—A-share single-stock next-day prediction via the PACE framework with 6-digit codes—leaves minimal overlap risk with general analysis or document skills.	5 / 5
	Total	20 / 20 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
skill_md_line_count	SKILL.md is long (579 lines); consider splitting into references/ and linking	Warning

	Total	15 / 16 Passed

Repository: digoal/blog
Path: skills/skills_for_claude_web/a-stock-predictor/SKILL.md
Commit: 3b9c83d

Reviewed: 3 days ago

Table of Contents

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