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finance-weekly-outlook

基于 daily-finance 和 finance-core-analysis 的产出,综合搜索权威市场数据(量价、资金流、VIX、北向、期权持仓、机构配置等),运用三因子定价模型和预期差框架,生成未来一周中美股市看涨/看空行业和个股的深度预测报告,包含明确操盘建议(买卖点、分段持仓、行动指南)。触发条件:用户提到"下周行情预测"、"下周看多看空"、"下周操盘"、"周报"、"未来一周"、"哪些股票值得关注"、"帮我选股"、"下周买什么",或要求结合宏观与个股给出具体操盘建议时,必须使用本 skill。即使用户只说"帮我分析一下下周市场"或"有没有好的投资机会",也应使用本 skill。这是 daily-finance → finance-core-analysis → finance-weekly-outlook 管线的第三步,也可以独立触发。

75

Quality

92%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

85%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, well-sequenced content skill with strong validation and feedback loops for high-stakes financial output. Its main weakness is progressive disclosure: it is a ~298-line monolith with no bundle references where templates and matrices could be split out.

Suggestions

Move the reusable 操盘建议模板 and 预期差矩阵 into a references/ file (e.g. references/trading-template.md) and link to it from the body, so the overview stays lean.

Extract the macro-data indicator table and stock-selection checklist into a separate reference so the core workflow steps remain scannable.

Tighten repeated methodology restatements (e.g., the expected-difference quadrant explanations and core-principles recap) to reduce token cost without losing the actionable thresholds.

DimensionReasoningScore

Conciseness

Efficient and dense with concrete tables/templates, assuming finance-domain competence; only minor instances (e.g., quadrant emoji explanations and restated core principles) that could be trimmed. Not a 5 because a few sections restate methodology a user of this skill would already infer.

4 / 5

Actionability

Fully executable guidance: threshold tables (VIX<15/15-20/>25), a stock-selection checklist, a copy-paste-ready 操盘建议 template with fields like 买入区间/止损位/分段止盈, and a complete output-format template. Specific examples cover the common cases.

5 / 5

Workflow Clarity

Clear 5-step sequence (宏观定仓 → 中观定方向 → 微观选股 → 撰写操盘建议 → 数据验证与校验) with an explicit validation step (Step 5 self-check checklists), feedback loops (前提假设崩塌 → 备选判断; 写入失败则对话输出), and scenario-falsification signals.

5 / 5

Progressive Disclosure

Internal section structure (clear ## headers, tables, templates) is good, but no bundle files exist and no external references are signaled; large reusable blocks (操盘建议 template, 预期差 matrix) are inlined that could live in references/. Not a 4 because there is no file-level disclosure at all.

3 / 5

Total

17

/

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 a strong, third-person statement that concretely captures what the skill does and when to use it, with abundant natural trigger terms and a clear pipeline niche. It does not pad or over-claim, and is fully distinguishable from sibling skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions such as '综合搜索权威市场数据(量价、资金流、VIX、北向、期权持仓、机构配置等)', '运用三因子定价模型和预期差框架', and '包含明确操盘建议(买卖点、分段持仓、行动指南)', giving comprehensive coverage of what the skill does.

5 / 5

Completeness

Explicitly answers both 'what' (generate weekly bull/bear forecast reports with trading advice) and 'when' ('触发条件:用户提到...必须使用本 skill', '即使用户只说...也应使用本 skill') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Comprehensive natural trigger phrases users would actually say, including '下周行情预测', '帮我选股', '下周买什么', and '有没有好的投资机会', plus synonyms and fallback phrasing.

5 / 5

Distinctiveness Conflict Risk

Clear niche (weekly cross-market forecast with explicit trading ops) and an explicit pipeline position ('daily-finance → finance-core-analysis → finance-weekly-outlook 管线的第三步'), minimizing conflict with adjacent skills.

5 / 5

Total

20

/

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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