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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。

66

Quality

79%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./skills/skills_for_claude_web/us-stock-predictor/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%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 is well-structured and actionable, with a clear multi-step workflow, concrete search strings, a report template, and a working external reference. Its main weakness is conciseness — the glossary and ASCII scaffolding restate knowledge Claude already has and inflate the token budget.

Suggestions

Move the 专业术语词典 (RSI/MACD/VIX/P/E etc.) and the ASCII chart scaffolding into references/methodology.md, since Claude already knows these terms; keep only skill-specific scoring ranges in SKILL.md.

Add an explicit validation/retry loop in the workflow for the common failure modes — e.g. '若关键数据缺失 → 重试搜索 → 仍缺失则降低置信度并标注' — to turn the implicit confidence note into a real checkpoint.

Tighten Step 3 逐维打分 by replacing prose scoring ranges with a compact scoring table (维度 | 满分 | 评分依据) so the same information occupies fewer tokens.

DimensionReasoningScore

Conciseness

The body is mostly efficient but includes padding Claude already knows — a full 术语词典 explaining RSI/MACD/布林带/VIX/P/E/EPS, ASCII art scaffolding, and restated methodology — that could be trimmed; the 概率分布 and 走势图 ASCII examples add length without adding decision value.

3 / 5

Actionability

Provides concrete, copy-ready scaffolding: exact search-query strings, a scoring rubric with point ranges, a report template, file-naming convention ({TICKER}-next-day-forecast-{YYYYMMDD}.md), and a pre-output checklist; minor gaps because the 'scoring' is qualitative guidance rather than executable code.

4 / 5

Workflow Clarity

A clear 5-step sequence (解析输入 → 多线搜索 → 逐维打分 → 三情景概率 → 输出报告) with a final 质量检查清单 acting as a validation checkpoint; not a 5 because there is no explicit validate-and-retry loop when data is incomplete or signals conflict, only a confidence-lowering note.

4 / 5

Progressive Disclosure

Good structure with a clearly signaled one-level reference to references/methodology.md (verified present) for the detailed framework, while SKILL.md stays an overview with templates and checklists; not a 5 because the 术语词典 and ASCII specs could arguably live in the reference file.

4 / 5

Total

15

/

20

Passed

Description

91%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 strong: it clearly states what the skill does and when to use it, with an extensive set of natural Chinese trigger phrases and concrete ticker examples that minimize conflict risk. It is thorough, though slightly long and could enumerate output actions a touch more concretely.

DimensionReasoningScore

Specificity

Names the domain (美股次日走势预测) and several concrete actions — 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、保存到 markdown/ 目录 — but stops short of enumerating the full range of report-generation actions, leaving minor coverage gaps.

4 / 5

Completeness

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' (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) with concrete trigger phrases, satisfying the top anchor.

5 / 5

Trigger Term Quality

Comprehensive natural-language triggers including 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, plus example phrases like 帮我看看NVDA明天怎么走 / AAPL明天能不能买, covering synonyms and concrete tickers users would actually say.

5 / 5

Distinctiveness Conflict Risk

A clear niche (次日走势预测 of US stocks with quantified probability output) with distinctive triggers tied to stock tickers and next-day prediction phrasing, making accidental triggering by unrelated skills unlikely.

5 / 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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
digoal/blog
Reviewed

Table of Contents

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