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industry-news-insight

Generate a concise Chinese WeChat-ready Markdown article from an industry name by searching current news from the last month, verifying evidence across production, demand, inputs, ecosystem, policy, financing, and technology signals, and writing first-person neutral third-party industry insight without visible author identity or AI traces. Use when the user asks for 行业新闻追踪, 行业洞察, 近一个月行业分析, 公众号短文, industry trend notes, or a source-backed short article saved to the current project's markdown directory.

76

Quality

94%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

88%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 highly actionable, with a concrete article template, an explicit validation checkpoint, and a recovery loop. Minor verbosity in enumeration lists and an inlined template slightly limit conciseness and progressive disclosure.

Suggestions

Move the Article Shape template into a references/ file (e.g. references/article-shape.md) and link to it from SKILL.md, keeping the main file as an overview to improve progressive disclosure.

Tighten the longer enumeration lists (search terms, preferred source types, eight evidence angles) to the highest-signal items to improve token efficiency.

Replace some of the prescriptive 'do not use' phrase lists with one positive example plus a short anti-pattern note to reduce list volume while preserving the intent.

DimensionReasoningScore

Conciseness

Mostly lean with no concept padding Claude already knows, but several extensive enumeration lists (search terms, source types, eight evidence angles, phrases to avoid) could be trimmed without losing guidance value.

4 / 5

Actionability

Provides a copy-paste-ready article template, a concrete save path format (markdown/<YYYYMMDD>-<industry-slug>-industry-news-insight.md), specific example phrases to use and avoid, and a clear 900-1500 character budget.

5 / 5

Workflow Clarity

Seven clearly sequenced steps include an explicit validation gate (do not write if evidence is thin/stale/one-sided; tell the user what is missing) and a recovery loop (add supplemental searches when a causal link lacks evidence).

5 / 5

Progressive Disclosure

Well-organized into Overview, Workflow, Article Shape, and Quality Bar sections with no unnecessary external references, but the full article template and quality bar are inlined in an ~86-line body that could split one level deep.

4 / 5

Total

18

/

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 exemplary: concrete capabilities, comprehensive bilingual trigger phrases, explicit what/when guidance, and third-person voice with minimal conflict risk. It reads as a model skill description.

DimensionReasoningScore

Specificity

Lists multiple concrete actions—search current news, verify evidence across seven named signal types (production, demand, inputs, ecosystem, policy, financing, technology), and write first-person industry insight—with comprehensive coverage of the task.

5 / 5

Completeness

Explicitly answers both 'what' (generate a concise Chinese WeChat-ready Markdown article via search and evidence verification) and 'when' (a concrete 'Use when the user asks for...' clause with specific trigger phrases).

5 / 5

Trigger Term Quality

Includes natural trigger phrases users would actually say in both Chinese (行业新闻追踪, 行业洞察, 近一个月行业分析, 公众号短文) and English (industry trend notes, source-backed short article), with synonyms across languages.

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (Chinese WeChat-style industry insight from recent news) with distinct bilingual triggers, making conflict with other skills minimal.

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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