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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.

90

4.88x
Quality

91%

Does it follow best practices?

Impact

88%

4.88x

Average score across 3 eval scenarios

SecuritybySnyk

High

Do not use without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

85%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 highly actionable, token-efficient CLI reference with a clearly sequenced workflow and explicit re-snapshot checkpoints. Its main defect is that the progressive-disclosure layer is broken in practice: all six references/*.md files and all three templates/*.sh files it points to are absent from the bundle.

Suggestions

Ship the referenced bundle files (references/commands.md, snapshot-refs.md, session-management.md, authentication.md, video-recording.md, proxy-support.md and templates/*.sh) or remove the links — dead reference paths currently break the Deep-Dive Documentation and Ready-to-Use Templates sections.

Drop or merge the 'Form Submission' pattern, which largely repeats the Core Workflow example, to reclaim tokens.

If templates are kept, show their required arguments/expected outputs inline (as the current one-line invocations do) so they remain usable even before the template file is read.

DimensionReasoningScore

Conciseness

The body is dense with executable commands and almost free of prose explaining concepts Claude already knows — every section teaches the agent-specific workflow (refs, snapshot lifecycle, sessions) rather than browser basics. It falls short of the 5 anchor mainly because the "Form Submission" pattern substantially repeats the "Core Workflow" example, and the Essential Commands block has some overlap with the pattern sections. It is clearly above the 3 anchor's 'could be tightened' — only minor trimming needed.

4 / 5

Actionability

Nearly the entire body is copy-paste-ready CLI invocations with concrete arguments — `agent-browser fill @e1 "user@example.com"`, `agent-browser wait --url "**/dashboard"`, `agent-browser state save auth.json` — and the common cases (forms, auth, extraction, parallel sessions, iOS) each get a worked example. This matches the 5 anchor (fully executable, common cases covered) with no pseudocode gaps.

5 / 5

Workflow Clarity

The core workflow is explicitly sequenced (Navigate → Snapshot → Interact → Re-snapshot), and a dedicated "Ref Lifecycle (Important)" section plus inline comments ("MUST re-snapshot") give explicit checkpoints after DOM-changing actions; `wait --load networkidle` and `wait --url "**/dashboard"` serve as validation of navigation/login success. This matches the 5 anchor's explicit validation steps and feedback loops; the 4 anchor's 'minor validation gaps' doesn't apply since checkpoints are called out repeatedly. No destructive or batch operations are involved, so no cap applies.

5 / 5

Progressive Disclosure

The structure as written is good — a command overview in SKILL.md with a well-signaled, one-level-deep reference table ('Deep-Dive Documentation' with when-to-use column) plus templates. However, none of the referenced files exist in the bundle: there is no references/ directory (commands.md, snapshot-refs.md, session-management.md, authentication.md, video-recording.md, proxy-support.md) and no templates/ directory (form-automation.sh, etc.). Per the guideline to score against the actual bundle structure, the navigation leads to dead paths, which drops it to the 3 anchor (structure present but the referenced material is not actually delivered); it cannot be a 4/5 when following the links fails.

3 / 5

Total

17

/

20

Passed

Description

96%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 description that clearly states what the tool does and when to use it, with concrete actions and natural trigger phrases covering the full range of browser tasks. The only weakness is a broad catch-all clause and slight overlap with scraping/testing skill territory.

Suggestions

Consider narrowing the catch-all "or any task requiring programmatic web interaction" to reduce trigger overlap with dedicated HTTP-fetch or web-scraping skills.

DimensionReasoningScore

Specificity

The description lists many concrete actions — "navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps" — which is comprehensive coverage of the browser-automation domain with no vague filler. It clearly matches the 5 anchor (multiple specific concrete actions) and exceeds the 4 anchor, which allows minor coverage gaps.

5 / 5

Completeness

It explicitly answers both what ("Browser automation CLI for AI agents... interact with websites, including navigating pages, filling forms...") and when ("Use when the user needs to interact with websites... Triggers include requests to...") with concrete trigger phrases. This is the 5 anchor verbatim in structure; a 4 would mean the 'when' was present but less explicit, which is not the case.

5 / 5

Trigger Term Quality

Trigger phrases are natural user phrasings with good synonym coverage: "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". This matches the 5 anchor's comprehensive synonym coverage; the 4 anchor would require missing natural terms, and none of consequence are missing.

5 / 5

Distinctiveness Conflict Risk

Browser automation is a clear niche with distinct triggers ("take a screenshot", "automate browser actions"), but the catch-all "any task requiring programmatic web interaction" plus coverage of scraping ("scrape data from a page") and app testing ("test this web app") creates minor overlap risk with dedicated web-scraping, web-testing, or fetch/HTTP skills. This fits the 4 anchor (mostly distinct, minor overlap risk) better than the 5 anchor's minimal conflict risk, but well above the 3 anchor's broad overlap.

4 / 5

Total

19

/

20

Passed

Validation

87%

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

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 9 missing

Warning

referenced_paths_exist

Referenced path issues: 12 missing

Warning

Total

14

/

16

Passed

Repository

shanraisshan/claude-code-best-practice

Path

.claude/skills/agent-browser/SKILL.md

Reviewed

Table of Contents

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