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agent-browser

Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection

60

Quality

71%

Does it follow best practices?

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SecuritybySnyk

Critical

Do not install without reviewing

Fix and improve this skill with Tessl

tessl review fix ./configs/microservice/bff-service/configs/agent-skills/clawhub/agent-browser-clawdbot/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

92%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is an exemplary lean, actionable CLI reference with clear sequenced workflows and a built-in re-snapshot verification loop. Its only real weakness is the absence of progressive disclosure: everything lives inline in a single file with no references to separate materials.

Suggestions

Move less-frequently-needed reference material (network control, cookies/storage, tabs/frames) into a separate REFERENCE.md and link to it from the main body to apply progressive disclosure.

Optionally extract the two end-of-file examples into an EXAMPLES.md referenced from a concise 'Examples' section, keeping the core body shorter.

DimensionReasoningScore

Conciseness

Lean command-reference style with minimal prose and no explanations of concepts Claude already knows; every section earns its place, satisfying the 'lean and efficient' anchor despite minor redundancy between the core workflow and end examples.

3 / 3

Actionability

Provides fully executable, copy-paste-ready `agent-browser` commands across every category plus two complete worked examples, matching the 'fully executable code/commands; specific examples' anchor.

3 / 3

Workflow Clarity

The 'Core Workflow' gives an explicit 3-step sequence (navigate/snapshot, parse refs and interact, re-snapshot) where re-snapshotting functions as a verification feedback loop; this is not a destructive/batch operation, so no validation cap applies.

3 / 3

Progressive Disclosure

The body is well-organized into clear sections but is monolithic: no bundle files exist and all ~200 lines are inline with no one-level-deep references, so detail such as network/cookies/storage commands and full examples could be split out.

2 / 3

Total

11

/

12

Passed

Description

50%

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 concrete and technically specific about what the tool is, but it omits any 'when to use' trigger guidance and relies on jargon over natural user phrasing. It is competent but not exemplary, landing at the midpoint across all dimensions.

Suggestions

Add an explicit 'Use when...' clause naming natural trigger terms (e.g., 'Use when automating browser workflows, interacting with web pages, filling forms, or scraping page content').

Replace or supplement jargon ('accessibility tree snapshots', 'ref-based element selection') with user-facing phrasing to improve trigger term quality.

List concrete actions the CLI performs (navigate, click, fill, extract text, take screenshots) to lift specificity toward the comprehensive anchor.

DimensionReasoningScore

Specificity

Names the domain ('browser automation CLI') and concrete technical features ('accessibility tree snapshots', 'ref-based element selection'), but describes approaches rather than listing multiple specific actions like click/fill/navigate, so it falls short of the comprehensive anchor 3.

2 / 3

Completeness

Clearly answers 'what does this do' but provides no 'Use when...' clause or equivalent trigger guidance; per the judging guidelines a missing explicit trigger caps completeness at 2.

2 / 3

Trigger Term Quality

Contains some natural terms ('browser automation', 'headless browser') but leans on jargon ('accessibility tree snapshots', 'ref-based element selection') that users would not naturally say and misses common variations like 'web scraping' or 'form filling'.

2 / 3

Distinctiveness Conflict Risk

'Browser automation CLI optimized for AI agents' is a recognizable niche, but without trigger guidance and with potential overlap against built-in browser tooling, it could still trigger for the wrong skill.

2 / 3

Total

8

/

12

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.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

14

/

16

Passed

Repository
UnicomAI/wanwu
Reviewed

Table of Contents

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