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broker-research-analyst

券商研报分析助手,聚焦"研报获取→结构化提取→多机构观点对比→风险识别→决策辅助"。使用时机:汇总个股券商研报、追踪行业研报、对比多机构观点、识别卖方利益冲突、验证研报时效性。默认数据源为东方财富研报中心公开接口(无需 API Key)。

65

Quality

79%

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SecuritybySnyk

Critical

Do not install without reviewing

Fix and improve this skill with Tessl

tessl review fix ./egs_skill/broker-research-analyst/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

71%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.

Highly actionable with concrete commands and a clear orchestration sequence, but weakened by padded PDF-parser prose and incomplete progressive disclosure: real bundle references are not signaled from the body and one referenced file does not exist.

Suggestions

Trim the PDF-parser section: drop vendor/promotional descriptors ("微软出品", "OpenDataLab 出品", "准确率 98.7%") and keep only the chain order, config knobs, and invocation flags.

Link the existing bundle files from the body — e.g. replace the inline 机构白名单 summary with "见 [references/机构白名单.md](references/机构白名单.md)" and link [assets/研报分析模板.md](assets/研报分析模板.md) and [references/评级体系说明.md](references/评级体系说明.md).

Fix or remove the dangling [PDF_IMAGE_RESEARCH.md](../PDF_IMAGE_RESEARCH.md) link, since that file is not present in the bundle.

DimensionReasoningScore

Conciseness

Mostly efficient tables and commands, but the PDF-parser section includes promotional/background prose Claude doesn't need ("微软出品", "OpenDataLab 出品", "准确率 98.7%", "专为中文 PDF 优化") that could be trimmed.

3 / 5

Actionability

Provides copy-paste-ready commands covering common cases (stock/industry/list, with and without --download) plus a concrete config/settings.json example, matching fully executable guidance.

5 / 5

Workflow Clarity

The Team-First pipeline is a clear numbered sequence with a quality-gate validation checkpoint, but no explicit validate→fix→retry feedback loop is described, so it stays below 5.

4 / 5

Progressive Disclosure

Structure exists (script table, agent table), but existing reference files (机构白名单.md, 评级体系说明.md) and the report template asset are not linked from the body, the long PDF-parsing detail is inlined, and the body references a non-existent ../PDF_IMAGE_RESEARCH.md.

3 / 5

Total

15

/

20

Passed

Description

87%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.

A strong, specific description that clearly states both capability and trigger conditions in third person with concrete use-case phrases. Minor synonym coverage gaps in trigger terms and one slightly abstract action keep it just short of perfect.

DimensionReasoningScore

Specificity

Lists a concrete action pipeline ("研报获取→结构化提取→多机构观点对比→风险识别→决策辅助") plus specific use-case actions, but "决策辅助" is mildly abstract, leaving a minor coverage gap short of a 5.

4 / 5

Completeness

Explicitly answers both what (the chained analysis pipeline) and when ("使用时机:..." with concrete trigger scenarios), matching the anchor for clear what-and-when with concrete triggers.

5 / 5

Trigger Term Quality

Natural user phrases like "汇总个股券商研报", "追踪行业研报", "对比多机构观点" are present, but common synonyms/triggers such as 评级、目标价、盈利预测 are missing, so it falls short of comprehensive 5.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (券商研报 / 东方财富研报中心) with domain-specific triggers, making conflict with other skills minimal.

5 / 5

Total

18

/

20

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

relative_links

Relative link issues: 1 suspicious

Warning

Total

14

/

16

Passed

Repository
charliedream1/ai_quant_trade
Reviewed

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