producthunt

Search and retrieve content from Product Hunt. Get posts, topics, users, and collections via the GraphQL API. Use when user mentions Product Hunt, PH, or product launches.

Quality

93%

Does it follow best practices?

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Adds up to 20 points to the overall score

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Securityby

Low

Low-risk findings worth noting

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.

An efficient, highly actionable command-reference skill with well-organized structure and verified bundle references. The only gap is the absence of explicit error-recovery guidance around the setup Quick Check.

Dimension	Reasoning	Score
Conciseness	Lean command reference with no padding and no explanation of concepts Claude already knows (e.g., GraphQL); every section earns its tokens, matching anchor-5.	5 / 5
Actionability	Fully executable, copy-paste-ready commands with concrete arguments covering common cases (by slug, by ID, topic/date filters, comments), matching anchor-5.	5 / 5
Workflow Clarity	Clear sequence of prerequisites → Quick Check (an explicit validation checkpoint) → commands, but no error-recovery feedback loop (e.g., what to do if the Quick Check fails), leaving a minor validation gap versus anchor-5.	4 / 5
Progressive Disclosure	Under 50 lines with well-organized sections (Prerequisites, Commands by category, API Info), and every referenced scripts/*.py path resolves to a real bundle file, matching the simple-skill anchor-5.	5 / 5
	Total	19 / 20 Passed

Description

92%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 strong, well-structured description that explicitly answers both what it does and when to use it, with concrete actions and a distinct niche. Slightly below perfect only on trigger term breadth, where a few natural synonyms are absent.

Dimension	Reasoning	Score
Specificity	Names the domain and lists multiple concrete actions covering all entity types — "Get posts, topics, users, and collections" — which is comprehensive coverage matching the anchor-5 example.	5 / 5
Completeness	Clearly states what ("Search and retrieve content... Get posts, topics, users, and collections via the GraphQL API") and explicitly when ("Use when user mentions Product Hunt, PH, or product launches"), matching anchor-5.	5 / 5
Trigger Term Quality	Includes natural terms with a synonym — "Product Hunt, PH, product launches" — but is missing a few common variations users might say (e.g., "Producthunt", "PH posts"), falling just short of comprehensive anchor-5.	4 / 5
Distinctiveness Conflict Risk	Targets a clear niche (Product Hunt) with distinct triggers and minimal overlap risk with other skills, matching anchor-5.	5 / 5
	Total	19 / 20 Passed

Validation

100%

Warnings & errors only

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: ReScienceLab/opc-skills
Path: skills/producthunt/SKILL.md
Commit: 8cb68e3

Reviewed: 5 days ago

Table of Contents

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