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amazon-reviews-api-skill

This skill helps users automatically extract Amazon product reviews via the Amazon Reviews API. Agent should proactively apply this skill when users express needs like getting reviews for Amazon product with ASIN B07TS6R1SF, analyzing customer feedback for a specific Amazon item, getting ratings and comments for a competitive product, tracking sentiment of recent Amazon reviews, extracting verified purchase reviews for quality assessment, summarizing user experiences from Amazon product pages, monitoring product performance through customer reviews, collecting reviewer profiles and links for market research, gathering review titles and descriptions for content analysis, scraping Amazon reviews without requiring a login.

Quality

86%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

75%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 body is actionable and well-structured with a real backing script and clear error/retry guidance. It scores solidly across dimensions, with the main improvement opportunity being trimming the conceptual Features and Use Cases lists to reduce tokens.

Suggestions

Trim or collapse the 10-item Typical Use Cases and 5-item Features lists into a short sentence or two; they largely restate the single extraction capability and consume tokens without adding actionability.

Add a short sample of the expected JSON output fields under Data Output so the Agent can verify results without reading the script.

Consider moving the long trigger/use-case enumeration to keep SKILL.md as a lean overview, optionally pointing to the script for full behavior details.

DimensionReasoningScore

Conciseness

The body is mostly efficient with concrete commands and clear sections, but the Introduction, the 5-item Features list, and the 10-item Typical Use Cases list restate value/context Claude could largely infer and could be trimmed.

4 / 5

Actionability

Provides a concrete, real, executable command (python -u ./scripts/amazon_reviews_api.py "ASIN_HERE") backed by an actual script, a concrete parameter spec, and specific error-handling logic; only minor gaps such as a missing sample output snippet.

4 / 5

Workflow Clarity

Clear sequence (check API key, run script, monitor timestamped logs, handle errors) with an explicit checkpoint distinguishing auth failure (no retry) from transient failure (retry once then stop); falls short of 5 because error recovery is a branch rather than a full validate-fix-retry loop.

4 / 5

Progressive Disclosure

Well-organized sections with one real, correctly referenced bundle file (scripts/amazon_reviews_api.py) and no nested references; the inline 10-item use-case list is a small amount of inlined content that keeps it just below 5.

4 / 5

Total

16

/

20

Passed

Description

95%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 explicit about both capability and trigger conditions, with rich natural-language trigger phrasing and a clear niche. Its main weakness is mild verbosity and restating the single extraction capability many times rather than enumerating genuinely distinct actions.

DimensionReasoningScore

Specificity

Names the domain and a concrete core action ("automatically extract Amazon product reviews") plus a long enumerated set of use cases, but the enumerated items restate one underlying capability rather than listing several distinct concrete actions.

4 / 5

Completeness

Explicitly answers both what ("extract Amazon product reviews via the Amazon Reviews API") and when ("Agent should proactively apply this skill when users express needs like...") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Comprehensive natural trigger phrases ("getting reviews for Amazon product with ASIN...", "analyzing customer feedback", "tracking sentiment", "scraping Amazon reviews") with good synonym coverage that users would actually say.

5 / 5

Distinctiveness Conflict Risk

Niche is clearly scoped to Amazon product reviews via a specific API with ASIN-tied triggers, giving minimal overlap with other skills.

5 / 5

Total

19

/

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.

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

14

/

16

Passed

Repository

browser-act/skills

Path

solutions/ecommerce/amazon-reviews-api-skill/SKILL.md

Reviewed

Table of Contents

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