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us-stock-predictor

预测美股个股次日走势,输出图文并茂的 Markdown 分析报告(含逻辑推导、中间结果、概率量化、操作建议)。触发条件:用户输入美股股票名称或代码,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"、"帮我分析一下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"等。即使用户只说"帮我看看NVDA明天怎么走"或"AAPL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。

70

Quality

88%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

75%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.

A highly actionable body: concrete search templates, a fully specified weighted scoring system, three-scenario probability output with an expected-return formula, a report template, chart specifications, and an output quality checklist. The main costs are the glossary that re-teaches concepts Claude already knows, some duplication of material also present in references/methodology.md, and the absence of an explicit fix-and-recheck loop after the output checklist.

Suggestions

Replace the 10-row 术语词典 table with a single instruction (e.g., 'annotate every technical term in the report at novice level on first use') — Claude already knows what RSI, MACD, P/E, and VIX mean.

Add a feedback loop after the 质量检查清单: what to do when an item fails (e.g., if scenario probabilities don't sum to 100%, renormalize and re-verify before writing the report).

Move the report structure template and/or the 风险控制模块 into references/methodology.md (which already has a 风险控制铁律 section) to reduce duplication between the body and the reference.

DimensionReasoningScore

Conciseness

The body is mostly efficient instruction, but the 10-row 专业术语词典 re-explains concepts Claude already knows ("RSI | 相对强弱指数,衡量涨跌速度,>70超买,<30超卖", "P/E | 市盈率,股价/每股盈利") — that section could be one line instructing novice-level annotation on first use. This is more than the 'minor instances' of anchor 4, so it sits at 'mostly efficient but includes some unnecessary explanation'.

3 / 5

Actionability

Guidance is fully executable: eight copy-paste search query templates ("{TICKER} stock price today technical analysis" etc.), a data-collection table, explicit weighted score ranges (M 0-15, T 0-30, V 0-20, S 0-25, F 0-10), the expected-return formula with a decision threshold (risk-reward > 1.5), a complete report template, ASCII chart examples, and a filename convention. This matches anchor 5 — copy-paste-ready commands with examples covering the common cases.

5 / 5

Workflow Clarity

Steps 1–5 are clearly sequenced and the 质量检查清单 provides an explicit pre-output validation checklist, giving most checkpoints. It falls short of anchor 5 because there is no feedback loop — no instruction on what to do when a checklist item fails (e.g., probabilities not summing to 100% or a dimension's data unavailable) beyond the implicit confidence-degradation note.

4 / 5

Progressive Disclosure

The reference `references/methodology.md` is clearly signaled, real, and exactly one level deep (no nested references inside it), and the body is well-sectioned. However, content that arguably belongs in the reference — the report structure template, the glossary, and the risk-control module which overlaps methodology.md's own 风险控制铁律 section — is inlined, which is a minor organization gap matching anchor 4 rather than the clean split of anchor 5.

4 / 5

Total

16

/

20

Passed

Description

96%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.

A strong description that explicitly states what the skill does, when to use it with an unusually rich set of natural Chinese trigger phrases and example utterances, and the output format and location. Voice is third-person and content is functional rather than padded; the only weakness is one broad trigger keyword ("帮我分析一下XX股票") with mild overlap risk against general stock-analysis skills.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions — predicting next-day US stock movement, generating an illustrated Markdown report with named content types (logic derivation, intermediate results, quantified probabilities, operational advice), and saving the file to the project's markdown/ directory. Coverage of the 'what' is comprehensive rather than gapped, matching the anchor-5 example's breadth of specific actions; it is not a 4 because no concrete capability area is left unspecified at the description level.

5 / 5

Completeness

It explicitly answers both what ("预测美股个股次日走势,输出图文并茂的 Markdown 分析报告…") and when (an explicit 触发条件 clause with concrete trigger phrases and example utterances). The 'when' is maximally explicit with concrete trigger phrases, matching the anchor-5 example; a 4 would require the when-clause to be less specific than it is.

5 / 5

Trigger Term Quality

It includes a comprehensive set of natural phrases users would actually say — "预测明天走势", "明天能涨吗", "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" — plus concrete example utterances ("帮我看看NVDA明天怎么走", "AAPL明天能不能买") covering both name-based and ticker-based inputs. This synonym-level coverage including code examples matches the anchor-5 example ('PDF files, PDFs, forms, document extraction, .pdf').

5 / 5

Distinctiveness Conflict Risk

The niche (US-stock next-day movement prediction) is clear with mostly distinct triggers, but the keyword "帮我分析一下XX股票" is a generic analysis request that could also match a general stock-analysis skill — minor overlap risk with a closely related skill, matching anchor 4. It is not a 5 because that broad trigger is not uniquely tied to next-day prediction in the keyword list itself.

4 / 5

Total

19

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

digoal/blog

Path

skills/skills_for_claude_web/us-stock-predictor/SKILL.md

Reviewed

Table of Contents

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