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chrome-devtools

Browser automation via Puppeteer CLI scripts (JSON output). Capabilities: screenshots, PDF generation, web scraping, form automation, network monitoring, performance profiling, JavaScript debugging, headless browsing. Actions: screenshot, scrape, automate, test, profile, monitor, debug browser. Keywords: Puppeteer, headless Chrome, screenshot, PDF, web scraping, form fill, click, navigate, network traffic, performance audit, Lighthouse, console logs, DOM manipulation, element selector, wait, scroll, automation script. Use when: taking screenshots, generating PDFs from web, scraping websites, automating form submissions, monitoring network requests, profiling page performance, debugging JavaScript, testing web UIs.

75

Quality

93%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

86%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 well-structured, highly actionable skill body that leans on executable commands and properly defers detail to real reference files. Minor gains are available in tightening redundancy and adding validation checkpoints to batch workflows.

Suggestions

Add explicit validation/verification steps to the chain-command and form-automation workflows (e.g., assert the navigate/fill JSON returned success before proceeding to the next command).

Trim the re-listed capability summary in the body since the frontmatter description already enumerates capabilities, keeping only the script-to-capability mapping.

DimensionReasoningScore

Conciseness

Largely lean and command-focused with no concept over-explanation, but the capability list is partly redundant with the description and a few sections could be trimmed.

4 / 5

Actionability

Provides copy-paste-ready 'node ...' commands with jq pipelines covering scraping, performance, forms, and error monitoring across the common cases.

5 / 5

Workflow Clarity

Installation and command-chaining workflows are clearly sequenced with a verification example, but explicit validation checkpoints between batch steps are absent.

4 / 5

Progressive Disclosure

The body is an overview that points to one-level-deep, clearly signaled references (./references/*.md, ./scripts/README.md), all of which exist as real files.

5 / 5

Total

18

/

20

Passed

Description

100%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, comprehensive description that clearly states capabilities, lists natural trigger terms, and gives explicit 'Use when' guidance in third person. No significant weaknesses to address.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'screenshots, PDF generation, web scraping, form automation, network monitoring, performance profiling, JavaScript debugging, headless browsing' — for comprehensive capability coverage.

5 / 5

Completeness

Explicitly answers 'what' via the Capabilities list and 'when' via 'Use when: taking screenshots, generating PDFs from web, scraping websites...' with concrete trigger phrases.

5 / 5

Trigger Term Quality

Covers natural user terms with synonyms — 'screenshot, PDF, web scraping, form fill, click, navigate, Lighthouse, console logs, headless Chrome' — matching the comprehensive anchor.

5 / 5

Distinctiveness Conflict Risk

Browser automation via Puppeteer/headless Chrome is a clear niche with distinct triggers and minimal overlap with other skills; voice is third person.

5 / 5

Total

20

/

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
samhvw8/dot-claude
Reviewed

Table of Contents

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