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apify-ecommerce

Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.

57

Quality

66%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/apify-ecommerce/SKILL.md

The canonical home for this skill is apify-ecommerce in sickn33/antigravity-awesome-skills

SKILL.md
Quality
Evals
Security

Quality

Content

64%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a well-structured, actionable skill with excellent concrete examples and clear workflow selection guidance. Its main weaknesses are the lack of validation/feedback loops in the execution workflow and the inclusion of bulky reference data (marketplace lists) that should be in separate files. Some audience-targeting descriptions add tokens without value for Claude.

Suggestions

Add explicit validation steps after running the extraction (e.g., check result count > 0, verify expected fields are present) before proceeding to summarization — this is important for batch/remote operations.

Move the Supported Marketplaces section to a separate reference file (e.g., MARKETPLACES.md) and link to it from the main skill to reduce token usage.

Remove 'Best for' audience descriptions (e.g., 'Pricing analysts, product managers') as Claude doesn't need persona guidance to select the right workflow.

DimensionReasoningScore

Conciseness

The skill is fairly well-organized but includes some unnecessary verbosity like 'Best for' audience descriptions (e.g., 'Pricing analysts, product managers, market researchers') and 'Quality Analysis Tips' that Claude could infer. The supported marketplaces section is very long and could be referenced externally. However, most content is functional and relevant.

2 / 3

Actionability

Provides fully executable JSON input examples for each workflow, concrete bash commands with proper flags and paths, and specific field names for outputs. The examples are copy-paste ready with realistic data.

3 / 3

Workflow Clarity

The three workflows are clearly sequenced with steps, and there's a progress tracking checklist. However, there are no validation checkpoints or feedback loops — no step to verify the extraction succeeded before summarizing, no guidance on what to do if partial results are returned, and no explicit validation between running the script and reporting results.

2 / 3

Progressive Disclosure

The content is structured with clear sections and tables, but the supported marketplaces list (40+ lines) should be in a reference file. The skill references a script path but doesn't link to any supplementary documentation files. The monolithic structure could benefit from splitting reference data into separate files.

2 / 3

Total

9

/

12

Passed

Description

67%Scale 1-3

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 strong in specificity and distinctiveness, clearly naming concrete data extraction actions and a specific tool (Apify). However, it lacks an explicit 'Use when...' clause which caps completeness, and the trigger terms could be expanded to include common user phrasings like specific platform names or shopping-related synonyms.

Suggestions

Add a 'Use when...' clause, e.g., 'Use when the user wants to scrape or extract data from online stores, Amazon, eBay, Shopify, or any e-commerce website.'

Include common user trigger variations such as 'scrape Amazon', 'product listings', 'online store data', 'shopping site', or specific platform names to improve keyword coverage.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'Extract product data, prices, reviews, and seller information' — these are distinct, concrete data types rather than vague abstractions.

3 / 3

Completeness

Clearly answers 'what does this do' (extract product data, prices, reviews, seller info from e-commerce platforms), but lacks an explicit 'Use when...' clause specifying when Claude should select this skill.

2 / 3

Trigger Term Quality

Includes good terms like 'product data', 'prices', 'reviews', 'seller information', and 'e-commerce', but misses common user variations like 'scrape Amazon', 'product listings', 'online store', 'shopping', or specific platform names.

2 / 3

Distinctiveness Conflict Risk

The combination of e-commerce scraping, specific data types (prices, reviews, seller info), and the named tool (Apify) creates a clear niche that is unlikely to conflict with other skills.

3 / 3

Total

10

/

12

Passed

Validation

90%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

10

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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