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review-scraper

Scrape product reviews from G2, Capterra, and Trustpilot using Apify. Single script with platform dispatch. Use when you need to monitor competitor reviews, track product sentiment, or gather customer feedback from review sites.

72

Quality

87%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

87%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.

An efficient, highly actionable skill body with copy-paste commands and clear schema documentation. The only weakness is the absence of validation/verification guidance for a batch Apify operation, which caps workflow clarity.

Suggestions

Add a short verification step after scraping, e.g. checking the returned review count against --max-reviews and surfacing Apify run failures or empty-result cases.

Document token/run-error handling (what happens on auth failure, actor timeout, or partial results) so Claude can diagnose batch runs that go wrong.

Note cost/confirmation expectations for pay-per-result actors (Capterra) before launching large batch runs.

DimensionReasoningScore

Conciseness

Lean, table-driven content with executable examples and no over-explanation of concepts Claude already knows; every token earns its place.

5 / 5

Actionability

Copy-paste ready bash commands for all three platforms, a complete CLI reference table, and a concrete normalized output schema covering the common cases.

5 / 5

Workflow Clarity

The single-script invocation is unambiguous, but this is a batch operation (pulling many reviews via paid Apify actors) with no validation or verification steps (result counts, Apify run failures, token handling), triggering the batch-operation cap of 3.

3 / 5

Progressive Disclosure

Under 50 lines with well-organized sections (Quick Start, Supported Platforms, CLI Reference, Output Schema) and a single bundled script, matching the simple-skill exception for a 5.

5 / 5

Total

18

/

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 well-crafted description that clearly states what the skill does and when to use it, with concrete platform names and natural trigger phrases. Minor specificity gaps keep it from a perfect score across all dimensions.

DimensionReasoningScore

Specificity

Names the domain and several concrete actions across three specific platforms and Apify, but coverage of capabilities is not fully comprehensive, matching anchor 4.

4 / 5

Completeness

Explicitly answers both what (scrape reviews from G2, Capterra, Trustpilot via Apify with platform dispatch) and when ('Use when you need to monitor competitor reviews, track product sentiment, or gather customer feedback').

5 / 5

Trigger Term Quality

Includes natural user phrases like 'monitor competitor reviews', 'track product sentiment', and 'gather customer feedback' plus platform names, with only a few synonyms missing.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (scraping specific review platforms via Apify) with distinct triggers and minimal conflict risk with other skills.

5 / 5

Total

18

/

20

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
gooseworks-ai/goose-skills
Reviewed

Table of Contents

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