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landing-page-intel

Extract competitor and customer intelligence from any company's landing page HTML. Discovers tech stack, analytics tools, ad pixels, customer logos, SEO metadata, CTAs, hidden elements, and more. No API keys required.

70

Quality

85%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

100%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 a well-structured, lean overview that gives Claude everything needed to run the skill: executable commands, a compact extraction map, and a CLI reference. It appropriately offloads detail to the bundled script.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence: no tutorials on what HTML is or how libraries work, just four short runnable commands, compact tables, and brief use cases — every token earns its place.

5 / 5

Actionability

Quick Start provides four copy-paste-ready bash commands covering single-URL, multi-page, summary, and file-output cases, and the CLI Reference table documents every flag with defaults — fully executable guidance.

5 / 5

Workflow Clarity

This is a single-action skill (run the script with a URL) and the single action is unambiguous, so the simple-skill exception applies; the read-only HTTP scrape involves no destructive or side-effecting batch operation that would require validation checkpoints.

5 / 5

Progressive Disclosure

Well-organized sections (Quick Start, What It Extracts, CLI Reference, GTM Use Cases, Cost) with a single clearly-signaled, verified one-level-deep reference to scripts/scrape_landing_page.py that holds the detailed extraction logic.

5 / 5

Total

20

/

20

Passed

Description

71%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 comprehensive about what the skill extracts, with a clear distinct niche. Its main weakness is the missing explicit "Use when..." trigger guidance, which caps completeness and limits trigger-term quality.

Suggestions

Add an explicit trigger clause, e.g. "Use when researching a competitor's website, preparing for a sales call, or mapping a market's GTM motion."

Include a few natural user phrasings as synonyms (e.g. "analyze a website", "competitor research", "scan a landing page") alongside the technical terms.

Lead with the highest-value trigger phrasing before the feature list so Claude matches it more reliably.

DimensionReasoningScore

Specificity

Lists multiple specific concrete extraction categories ("tech stack, analytics tools, ad pixels, customer logos, SEO metadata, CTAs, hidden elements"), giving comprehensive coverage rather than just 1-2 actions.

5 / 5

Completeness

The "what" is clearly and specifically stated, but there is no "Use when..." clause or equivalent explicit trigger guidance, which caps completeness at 3 per the rubric guidelines.

3 / 5

Trigger Term Quality

Good keyword coverage with domain-relevant terms like "competitor and customer intelligence", "landing page HTML", and the extraction categories, but missing common natural phrasings (e.g. "analyze a website", "competitor research") and synonyms.

4 / 5

Distinctiveness Conflict Risk

The landing-page/GTM-intel framing carves a mostly distinct niche with only minor overlap risk against general web-scraping or SEO skills, though the absence of explicit trigger phrases keeps it from being unambiguous.

4 / 5

Total

16

/

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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