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good-ask

给定一个行业,围绕该行业提出若干个"好问题"(只提问、不给答案,但每个问题要配"为什么这是个好问题"的理由)。触发条件:用户提到"帮我想几个好问题"、"这个行业有什么值得问的问题"、"帮我出选题"、"行业狗皮膏药问题"、"行业老大难问题"、"近期热点问题"、"帮我策划几个话题"、"这个行业值得深挖的问题有哪些"、"good ask"、"提问清单",或者在准备写行业分析/公众号文章/辩论/调研之前想先找到几个真正值得问的问题。即使用户只说"帮我想想XX行业能问点啥"或"XX行业有哪些值得讨论的问题",也应使用本 skill。本 skill 只产出问题和理由,不产出答案、不产出解决方案,如果用户还想要答案/深度分析,应在问题清单产出后提示可以用 multi-expert-analyzer、bug-hunter、red-blue-debate、industry-insight-writer 等 skill 继续深挖。

71

Quality

86%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

73%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 a well-structured, actionable methodology with a clear multi-step workflow and feedback loop. Its main weaknesses are conciseness (a redundant notes section restating earlier criteria) and a hard-coded stale date that should be resolved dynamically rather than embedded in the skill.

Suggestions

Remove or collapse the '注意事项' section: '拒绝黑白分明的问题' and '拒绝假大空的问题' already appear as standards 6 and 5, and '只给问题不给答案' restates the skill's core positioning — keep only anything not already covered.

Replace the embedded hard-coded date '今天是 2026 年 7 月 2 日' with a dynamic instruction (e.g., 'use the actual current date when constructing recent-news queries') to avoid shipping stale time references.

Tighten the search-guidance paragraph, which mixes directive advice with justification that assumes Claude needs convincing about why multi-angle search helps.

DimensionReasoningScore

Conciseness

Mostly efficient and adds genuine methodology Claude doesn't already know, but the '注意事项' section redundantly restates criteria already covered (拒绝黑白分明 repeats standard 6, 拒绝假大空 repeats standard 5, 只给问题不给答案 repeats the core positioning) and could be trimmed.

3 / 5

Actionability

Highly actionable instruction-only guidance with concrete specifics — exact search keywords, search cadence (2-3 searches per direction, 1-6 word queries), candidate pool size (10-15), final count (5-8), and a copy-paste output template — with a minor gap: the hard-coded date '2026年7月2日' is stale relative to the actual current date and should be sourced dynamically.

4 / 5

Workflow Clarity

Five clearly sequenced steps with an explicit feedback loop ('如果筛选后不足 5 个,回到第三步继续挖掘') and an anti-shortcut rule against lowering standards to pad numbers; this is not a destructive/batch operation so no validation cap applies.

5 / 5

Progressive Disclosure

A single well-organized SKILL.md with clear section headers (criteria, workflow, output format, notes) and no content that clearly belongs in separate files; slightly above the simple-skill threshold with only minor organization gaps from the redundant notes section.

4 / 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 comprehensive and high-quality: it clearly states what the skill does, when to use it via many natural trigger phrases, and explicitly carves out its niche against related analytical skills. No first/second-person voice issues are present.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — generating industry 'good questions', pairing each with a 'why it's a good question' rationale, and explicitly restricting output to questions+reasons with no answers — giving comprehensive coverage of what the skill does.

5 / 5

Completeness

Explicitly answers both 'what' (produces only questions with reasons, no answers/solutions) and 'when' (a detailed trigger list plus fallback scenarios and the topic-selection context).

5 / 5

Trigger Term Quality

Comprehensive coverage of natural user phrases including synonyms and variants ('帮我想几个好问题', '帮我出选题', '行业狗皮膏药问题', '行业老大难问题', '近期热点问题', 'good ask', '提问清单') plus fallback phrasings a user would actually say.

5 / 5

Distinctiveness Conflict Risk

Clear niche — question generation at the topic-selection stage — explicitly distinguished from solution-producing skills (multi-expert-analyzer, bug-hunter, red-blue-debate), minimizing conflict risk.

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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