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sn-search-market-cn

Use when researching China market, industry, macro, trade, procurement, listed-company disclosure, regulation, IP, healthcare, logistics, energy, environment, or industrial-operation information using free official sources with no registration, no API key, and no cryptocurrency data.

80

Quality

100%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

100%

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 tight, action-oriented reference: executable API commands, a comprehensive but compact resource table, and a sequenced workflow with validation and fallback guidance. It respects the context budget while remaining fully actionable.

DimensionReasoningScore

Conciseness

The body is lean and table-driven, assuming Claude's competence without explaining what official data sources are or how Python works; every section earns its tokens.

3 / 3

Actionability

Provides fully executable commands ('python scripts/free_market_api.py cninfo-announcements --keyword 年报 --start-date ...') referencing a verified real script, plus an exact URL/usage table — copy-paste ready.

3 / 3

Workflow Clarity

A numbered workflow sequences API-script-first then browser-use fallback, with explicit verification ('保留来源 URL、指标口径和时间范围') and an error-recovery checkpoint ('直接换用其它官方来源,不要重试绕过').

3 / 3

Progressive Disclosure

Well-organized sections with a single one-level-deep referenced script (scripts/free_market_api.py, confirmed present) and an inline resource table; no nested references or monolithic walls of text.

3 / 3

Total

12

/

12

Passed

Description

100%

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 concise, specific, and trigger-driven, cleanly answering both what the skill does and when to use it with natural user-facing language. It is highly distinctive and free of fluff or over-claims.

DimensionReasoningScore

Specificity

Lists many concrete research domains ('macro, trade, procurement, listed-company disclosure, regulation, IP, healthcare, logistics, energy, environment') plus concrete source constraints ('free official sources with no registration, no API key'), matching the 'multiple specific concrete actions' anchor.

3 / 3

Completeness

Explicitly answers both 'what' (research China market information from free official sources) and 'when' via a clear 'Use when researching...' trigger clause.

3 / 3

Trigger Term Quality

'Use when researching China market, industry, macro, trade...' uses natural language a user would actually say, with broad coverage of common domain terms rather than jargon.

3 / 3

Distinctiveness Conflict Risk

The 'China market' + 'free official sources' + 'no cryptocurrency data' framing carves a clear niche with distinct triggers unlikely to collide with other skills; voice is appropriately third person.

3 / 3

Total

12

/

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
OpenSenseNova/SenseNova-Skills
Reviewed

Table of Contents

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