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product-hunt-scraper

Scrape Product Hunt trending products using Apify. Use when you need to discover new product launches, track competitors on Product Hunt, or monitor the startup ecosystem for relevant launches.

72

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

93%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.

A tight, highly actionable single-script skill that respects the context window and gives copy-paste commands plus a complete flag reference. Its only weakness is the absence of an explicit result-verification step for the batch scrape operation.

Suggestions

Add a brief verification note after the commands (e.g., confirm the output is non-empty and that the actor run status was SUCCEEDED; re-run or adjust --timeout if the run FAILED/TIMED-OUT).

Note the error-path behavior surfaced by the script (FAILED/ABORTED/TIMED-OUT raises a RuntimeError) so Claude knows to inspect the run status on failure.

Clarify the script path convention (the body uses skills/product-hunt-scraper/scripts/... while the file ships at ./scripts/...) to avoid path confusion at invocation time.

DimensionReasoningScore

Conciseness

Lean and efficient with no padding — it skips explaining what Product Hunt or Apify is and gives only the output fields, copy-paste commands, a compact CLI table, and two terse notes.

5 / 5

Actionability

Three copy-paste-ready CLI commands cover the common cases (daily top, weekly with keywords, monthly as JSON) and a full CLI reference table with defaults; the flags match the bundled script.

5 / 5

Workflow Clarity

The single-action workflow is unambiguous and benefits from the simple-skill exception, but the body surfaces no verification step (e.g., check non-empty output, handle FAILED run status) for this batch fetch, capping it below 5.

4 / 5

Progressive Disclosure

Under 50 lines with well-organized Quick Start, CLI Reference, and Notes sections and a single one-level reference to the bundled script at a verified path, satisfying the simple-skill exception.

5 / 5

Total

19

/

20

Passed

Description

82%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 with an explicit 'Use when...' clause and concrete, natural trigger phrases tied to a distinct niche. The only gap is action breadth — it conveys a single scrape action rather than a fuller set of capabilities.

DimensionReasoningScore

Specificity

Names the domain ('Product Hunt trending products') and one concrete action ('Scrape'), but the action set is narrow — a single core scrape operation rather than the several specific actions the higher anchors require.

3 / 5

Completeness

Explicitly states both what ('Scrape Product Hunt trending products using Apify') and when via a concrete 'Use when...' clause listing three trigger scenarios, matching the top anchor.

5 / 5

Trigger Term Quality

Strong natural-language coverage with multiple user-voice phrases ('discover new product launches', 'track competitors on Product Hunt', 'monitor the startup ecosystem'), though it could include a few more synonym variations.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (Product Hunt scraping via a named Apify actor) with domain-specific triggers that are unlikely to fire for unrelated skills.

5 / 5

Total

17

/

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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