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ai-hotspots

Track and synthesize current AI hotspots into a bilingual HTML daily report. Use when the user says "AI热点", asks for AI日报/AI日报 HTML/AI hot topics, or wants the best recent AI products, papers, viewpoints, and cognition-shifting items from AI/news aggregators.

72

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

87%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is lean, highly actionable, and well-structured with a verified one-level reference. The main gap is workflow_clarity: the multi-step, failure-prone source-browsing process lacks an explicit validation/verification checkpoint and feedback loop.

Suggestions

Add an explicit verification checkpoint in the Workflow (e.g., 'For every ranked item, confirm a primary source link exists before writing its card; if not, demote or mark unread').

Insert a validate->fix->retry loop for source access failures: on a blocked source, record it under unread/access-blocked coverage, then retry with an alternate source type before finalizing the report.

Make the post-generation verification explicit (e.g., a final step: 'Verify all 10 items have a working primary link and the HTML file renders before returning the digest').

DimensionReasoningScore

Conciseness

The body is dense and directive with no preamble explaining concepts Claude already knows; nearly every line earns its place ('Pick exactly 10 items', 'Do not treat social posts... as final truth').

3 / 3

Actionability

It gives concrete, copy-ready guidance: a specific output path, exact counts (10 items, <=100 Chinese characters, 3-5 trends, 1-3 actions), a fixed title format, and an enumerated item-card schema.

3 / 3

Workflow Clarity

The 6-step workflow is clearly sequenced, but validation checkpoints are implicit rather than explicit and there is no validate->fix->retry loop for the failure-prone source-browsing step, which the guidelines cap at 2.

2 / 3

Progressive Disclosure

It signals a single one-level-deep reference ('Read references/source-list.md...'), the referenced file exists and is a flat non-nested table, and the body is organized into clearly navigable sections.

3 / 3

Total

11

/

12

Passed

Description

90%

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 pairs an explicit 'Use when' trigger clause with concrete, distinctive natural keywords and a clear what/when statement. Its only weakness is that the capability is framed as one compound action rather than a list of several specific actions.

DimensionReasoningScore

Specificity

It names the domain and the core action ('Track and synthesize current AI hotspots into a bilingual HTML daily report') but offers only a single compound action rather than the multiple distinct concrete verbs that anchor a 3.

2 / 3

Completeness

It explicitly answers both what ('Track and synthesize... into a bilingual HTML daily report') and when ('Use when the user says AI热点, asks for AI日报... or wants the best recent AI products...').

3 / 3

Trigger Term Quality

It covers natural user utterances well, including the literal trigger 'AI热点' plus 'AI日报/AI日报 HTML/AI hot topics' and content-type variants a user would actually say.

3 / 3

Distinctiveness Conflict Risk

The bilingual HTML daily-report niche with the AI热点/AI日报 triggers is clearly bounded and unlikely to fire for an unrelated skill.

3 / 3

Total

11

/

12

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
huangruiteng/CS-Notes
Reviewed

Table of Contents

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