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google-ad-scraper

Scrape competitor ads from Google Ads by domain. Returns ad creatives, formats, and campaign details. Use for competitive ad research and messaging analysis.

70

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

72%

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

A well-structured, actionable skill body with copy-paste commands and a real bundled script. The main gaps are minor redundancy between the output JSON and field table, and absent validation checkpoints for the batch scraping workflow.

Suggestions

Drop one of the duplicate output representations — keep either the JSON example or the field table, not both — to tighten conciseness.

Add a verification checkpoint after company-name resolution and after scraping (e.g., check for empty/error results and advise falling back to --domain) to improve workflow clarity for the batch operation.

Consolidate flag documentation so the CLI reference table does not fully duplicate the flags already demonstrated in Quick Start.

DimensionReasoningScore

Conciseness

Mostly efficient with lean sections, but the inline JSON output example and the 'Output fields' table describe the same fields redundantly, and the CLI reference repeats flags already shown in Quick Start; tightened would reach 3, but it is not verbose enough to fall to 1.

2 / 3

Actionability

Copy-paste ready executable commands with concrete flags, a complete output JSON shape, and worked examples for each workflow, meeting the fully-executable anchor; clearly above the pseudocode/incomplete anchor at 2.

3 / 3

Workflow Clarity

The 'How It Works' sequence is clear (Domain → Resolution → Scrape → Output) but this batch scraping operation has no validation or verification checkpoints (e.g., confirm company resolution succeeded, handle empty results), which caps it at 2 per the batch-operations guideline.

2 / 3

Progressive Disclosure

A single well-organized SKILL.md with a one-level-deep real script reference (scripts/search_google_ads.py exists) and clear sections; no nested references, so it earns 3 for a simple skill rather than the monolithic/disorganized anchor at 2.

3 / 3

Total

10

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12

Passed

Description

100%

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 strong, specific description that covers both what the skill does and when to use it, with natural trigger terms and a clear niche. Uses third-person voice throughout with no vague fluff.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ('Scrape competitor ads', 'Returns ad creatives, formats, and campaign details'), matching the top anchor rather than the partial-coverage anchor at 2.

3 / 3

Completeness

Explicitly answers what ('Scrape competitor ads... Returns ad creatives, formats, and campaign details') and when ('Use for competitive ad research and messaging analysis'), with an explicit 'Use' trigger clause, so it is not capped at 2.

3 / 3

Trigger Term Quality

Natural terms a user would say are well covered — 'competitor ads', 'Google Ads', 'ad creatives', 'competitive ad research', 'messaging analysis' — meeting the good-coverage anchor; not reduced to 2 since common variations are present.

3 / 3

Distinctiveness Conflict Risk

The Google Ads scraping niche is distinct with specific triggers unlikely to overlap with other skills, fitting the clear-niche anchor rather than the overlap-prone anchor at 2.

3 / 3

Total

12

/

12

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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