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agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

70

Quality

87%

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SecuritybySnyk

Critical

Do not install without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

75%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.

Highly actionable body with executable commands and a clear core workflow supported by real reference files. Main weaknesses are repeated coverage of authentication/session/viewport topics across sections and three dead template links.

Suggestions

Deduplicate the authentication, session, and viewport material — cover each once (e.g., in 'Handling Authentication' and 'Essential Commands') and point from 'Common Patterns' to those sections or to the relevant reference files instead of re-explaining.

Either add the missing templates/form-automation.sh, templates/authenticated-session.sh, and templates/capture-workflow.sh to the bundle, or remove the 'Ready-to-Use Templates' section so no links are broken.

Consider moving the large inline 'Essential Commands' reference entirely into references/commands.md, keeping only the most common commands inline to reduce body length.

DimensionReasoningScore

Conciseness

Mostly efficient domain-specific content, but several sections duplicate material already covered — authentication appears in 'Handling Authentication' (5 options) and again in 'Common Patterns' (Auth Vault, State Persistence), and viewport/session topics each repeat across sections.

3 / 5

Actionability

Fully executable copy-paste bash commands throughout, covering navigation, snapshot, interaction, waits, downloads, screenshots, and eval with concrete examples for the common cases.

5 / 5

Workflow Clarity

The Core Workflow (Navigate → Snapshot → Interact → Re-snapshot) is clearly sequenced with the Ref Lifecycle section reinforcing re-snapshot checkpoints and diff-based verification; minor validation gaps but no destructive/batch context requiring a hard cap.

4 / 5

Progressive Disclosure

Good structure with a well-signaled 'Deep-Dive Documentation' table (when-to-use column) pointing to 7 real reference files one level deep; however the three referenced templates/*.sh files do not exist in the bundle, breaking some navigation.

4 / 5

Total

16

/

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, well-formed description: third-person voice, comprehensive concrete actions, and explicit 'Use when' trigger guidance with many natural user phrases. No fluff or over-claims.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps' — giving comprehensive coverage of the tool's capabilities.

5 / 5

Completeness

Explicitly answers both what ('Browser automation CLI for AI agents... including navigating pages, filling forms...') and when ('Use when the user needs to interact with websites... Triggers include...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Provides extensive natural trigger phrases users would actually say: 'open a website', 'fill out a form', 'take a screenshot', 'scrape data from a page', 'login to a site', 'automate browser actions'.

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (browser automation CLI for AI agents) with distinct, specific triggers unlikely to fire for unrelated skills.

5 / 5

Total

20

/

20

Passed

Validation

81%

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

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (646 lines); consider splitting into references/ and linking

Warning

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

relative_links

Relative link issues: 3 missing

Warning

Total

13

/

16

Passed

Repository
databricks/devhub
Reviewed

Table of Contents

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