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apify-market-research

Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.

58

Quality

67%

Does it follow best practices?

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Adds up to 20 points to the overall score

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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/skills/apify-market-research/SKILL.md

The canonical home for this skill is apify-market-research in sickn33/agentic-awesome-skills

SKILL.md
Quality
Evals
Security

Quality

Content

68%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 concrete commands and a clear actor-selection table. Its chief gap is the missing validation checkpoint in an otherwise solid batch-scraping workflow.

Suggestions

Insert an explicit validation step between running the script and summarizing (e.g., verify the output file exists and has an expected row count before reporting findings).

Tighten loose phrasing such as '(No need to check it upfront)' and 'Based on character of use case' for cleaner token efficiency.

Show how to construct the JSON_INPUT for at least one representative Actor so the commands are fully turnkey.

DimensionReasoningScore

Conciseness

The body is lean—a need-to-Actor table and executable commands with no over-explanation of concepts Claude already knows—though minor padding like '(No need to check it upfront)' and 'Based on character of use case' could be trimmed.

4 / 5

Actionability

Provides concrete, mostly copy-paste-ready bash commands (node --env-file=.env ... run_actor.js, mcpc tools-call) and a clear need→Actor mapping table; only the ACTOR_ID and JSON_INPUT placeholders keep it from being fully turnkey.

4 / 5

Workflow Clarity

Five steps are clearly sequenced with a progress checklist and an error-handling section, but this batch scraping workflow lacks an explicit validation/verification checkpoint before summarizing, so per the batch-operation guideline workflow clarity is capped at 3.

3 / 5

Progressive Disclosure

Content is well-organized into Prerequisites, Workflow (5 steps), and Error Handling with a single clearly signaled one-level reference to reference/scripts/run_actor.js; no nested references, though the referenced bundle file is not present to verify.

4 / 5

Total

15

/

20

Passed

Description

66%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 and well-scoped to multi-platform market research, with good natural keyword coverage and low conflict risk. Its main weakness is the absence of an explicit 'when to use' trigger clause, which caps completeness.

Suggestions

Add an explicit 'Use when...' clause naming concrete trigger situations, e.g. 'Use when researching market density, pricing, or consumer behavior across Google Maps, Facebook, Instagram, Booking.com, or TripAdvisor.'

Vary the action verbs beyond 'Analyze' (e.g., 'Extract', 'Compare', 'Validate') to sharpen the specificity of capabilities.

Include common synonyms/file-format triggers users might naturally say to round out keyword coverage.

DimensionReasoningScore

Specificity

Names the market-research domain and lists several concrete analysis areas (market conditions, geographic opportunities, pricing, consumer behavior, product validation) across named platforms, but relies on a single action verb 'Analyze' rather than multiple distinct actions.

4 / 5

Completeness

Clearly states what the skill does but provides no 'Use when...' clause or equivalent trigger guidance, so per the rubric guideline completeness is capped at 3.

3 / 5

Trigger Term Quality

Includes natural terms users would say ('market conditions', 'pricing', 'consumer behavior', 'product validation') plus recognizable platforms (Google Maps, Facebook, Instagram, Booking.com, TripAdvisor), but misses common synonyms and an explicit trigger phrase.

4 / 5

Distinctiveness Conflict Risk

The named platforms and market-research framing give it a clear niche with minimal conflict risk, though broad terms like 'pricing' and 'market conditions' leave minor overlap with related analytics skills.

4 / 5

Total

15

/

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

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

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

Table of Contents

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