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sentiment-analysis

市场情绪分析——恐贪指数/Put-Call Ratio/融资融券/北向资金信号解读、社交媒体舆情量化框架

62

Quality

73%

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SecuritybySnyk

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tessl review fix ./agent/src/skills/sentiment-analysis/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

72%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.

A well-organized, actionable sentiment-analysis reference with concrete thresholds and a usable scoring/output template; its main weakness is the absence of explicit validation checkpoints in the analysis-to-action workflow.

Suggestions

Add an explicit workflow with checkpoints: compute each dimension → cross-validate (e.g. PCR vs VIX, 融资 vs 北向) → flag conflicting signals → only then map to a position.

De-duplicate the 0-100 sentiment-scale mapping (currently restated in 恐贪, 综合 scoring, and output sections) into one reference table.

Tighten pedagogical asides like the '巴菲特指标' anecdote and '别人恐惧时贪婪' to keep the body lean.

DimensionReasoningScore

Conciseness

Dense, table-driven content assumes Claude's domain knowledge and mostly earns its tokens, though the ~270-line body repeats the 0-100 sentiment scale mapping across sections and includes a few pedagogical asides.

4 / 5

Actionability

Concrete thresholds, specific signal rules, a ready scoring formula ('综合情绪 = 0.25×恐贪 + 0.20×PCR + ...'), and a copy-paste output template are actionable; minor gaps are no executable data-fetch commands behind the named data sources.

4 / 5

Workflow Clarity

The scoring-to-position mapping is a clear sequence and the notes list caveats, but there are no explicit validation checkpoints or a validate→fix→retry loop, leaving checkpoints implicit.

3 / 5

Progressive Disclosure

A single self-contained SKILL.md with well-organized section headers covering each sentiment dimension and an output format; with no external references needed this structure is easy to navigate.

5 / 5

Total

16

/

20

Passed

Description

75%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 specific, well-scoped description listing concrete capabilities and natural trigger terms, but it omits any explicit 'when to use' guidance, which caps completeness at 3.

Suggestions

Add an explicit 'Use when...' clause, e.g. 'Use when analyzing market sentiment, gauging fear/greed extremes, or interpreting reverse-indicator signals for A-share, US, or crypto markets.'

Broaden trigger-term coverage with synonyms a general user might say (e.g. '市场情绪', '恐贪指数', '情绪温度计', 'reverse indicator').

Keep the slash-list concise but consider leading with the most common phrase users would actually say.

DimensionReasoningScore

Specificity

The slash-delimited list '恐贪指数/Put-Call Ratio/融资融券/北向资金信号解读、社交媒体舆情量化框架' enumerates multiple concrete capabilities across the domain with comprehensive coverage.

5 / 5

Completeness

It clearly states what the skill does (quantify market sentiment across five dimensions) but provides no explicit 'Use when...' trigger guidance, capping completeness at 3.

3 / 5

Trigger Term Quality

Natural analyst keywords like '恐贪指数', 'Put-Call Ratio', '融资融券', '北向资金', '社交媒体舆情' provide good coverage, but common variations/synonyms a lay user would say are not fully represented.

4 / 5

Distinctiveness Conflict Risk

The named-indicator niche (sentiment analysis via Fear&Greed/PCR/融资融券/北向资金/舆情) is distinct with minimal overlap risk against other skills.

5 / 5

Total

17

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
HKUDS/Vibe-Trading
Reviewed

Table of Contents

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