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binance-sports-ai-analyzer

Use when users ask for World Cup or 世界杯 AI match predictions, WC assistant probabilities, World Cup news insights, master analysis, recomputing football match win rates with custom correction signals, or trading a related prediction market after reviewing the AI analysis.

72

Quality

89%

Does it follow best practices?

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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 content is highly actionable with executable commands, explicit confirmation checkpoints for the destructive trading step, and a clean one-level reference into api.md. It is slightly dense in places where inline material could be pushed to the reference.

Suggestions

Move the full CLI command/params table into references/api.md and keep only a short usage synopsis plus the workflow in SKILL.md, linking out for the complete command catalog.

Consolidate the 'Default interaction pattern' and 'Quick Workflow' step 1, which overlap on presenting recent-match-options first, to reduce repetition.

DimensionReasoningScore

Conciseness

The body is dense but well-organized with tables, command lists, and rules, and avoids explaining concepts Claude already knows; a few sections (e.g. the full CLI table plus repeated default-interaction pattern) could be trimmed slightly without losing clarity.

4 / 5

Actionability

Provides copy-paste-ready CLI invocations with exact JSON params, real slug/cmid examples, and precise `baw prediction trade quote/place-order` commands with all required flags, covering the common cases fully.

5 / 5

Workflow Clarity

A clear five-step Quick Workflow plus a trading handoff with explicit validation checkpoints (mandatory quote step, 'Require a clear affirmative confirmation before placing the order'), and an Error Handling section mapping HTTP codes to actions—satisfying the destructive-operation validation requirement.

5 / 5

Progressive Disclosure

Body is sectioned clearly and offloads endpoint/response detail to a real, well-signaled one-level reference (references/api.md, verified to exist), but a fair amount of reference-style content (full CLI table, many inline rules) lives in SKILL.md rather than in the reference file.

4 / 5

Total

18

/

20

Passed

Description

91%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 specific, distinctive, and rich in natural trigger terms including bilingual synonyms. Its only weakness is that the capability statement and the usage trigger are merged into a single clause rather than being clearly separated.

Suggestions

Split the description into a capability statement followed by a separate 'Use when...' trigger clause, e.g. 'Fetches World Cup AI predictions, recomputes win rates from custom correction signals, and hands off to prediction-market trading. Use when users ask for World Cup or 世界杯 AI match predictions...'.

DimensionReasoningScore

Specificity

Lists multiple concrete actions—"AI match predictions", "WC assistant probabilities", "World Cup news insights", "master analysis", "recomputing football match win rates with custom correction signals", and "trading a related prediction market"—giving comprehensive coverage of the skill's capabilities.

5 / 5

Completeness

Explicitly answers "when" via "Use when users ask for..." and embeds the "what" (predict, recompute, trade) inside the same clause, but the what and when are fused rather than presented as distinctly separated statements like the top anchor.

4 / 5

Trigger Term Quality

Covers natural user phrasings including synonyms and bilingual variants ("World Cup", "世界杯", "WC assistant") plus concrete triggers like "AI match predictions" and "recomputing football match win rates with custom correction signals".

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (Binance World Cup AI prediction analysis and prediction-market trading) with distinctive terms like "WC assistant", "master analysis", and "correction signals", giving minimal overlap with other skills.

5 / 5

Total

19

/

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

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

15

/

16

Passed

Repository
binance/binance-skills-hub
Reviewed

Table of Contents

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