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agent-browser

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

59

Quality

70%

Does it follow best practices?

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SecuritybySnyk

Critical

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

The canonical home for this skill is agent-browser in UnicomAI/wanwu

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.

The body is an exemplar of lean, fully executable CLI reference material with a clear core workflow and useful decision guidance on when to prefer it over the built-in browser tool. Its main structural weakness is that the entire command reference lives inline in SKILL.md rather than being split into a one-level-deep reference file, which would trim the always-loaded token cost.

Suggestions

Move the exhaustive per-category command listing (Navigation through Tabs & Frames) into a references/COMMANDS.md and keep only the core workflow, key commands, and examples in SKILL.md.

Add a brief error-recovery note (e.g., re-snapshot and re-select refs when a ref becomes stale after page changes) to close the workflow feedback-loop gap.

State where the snapshot refs come from in the Core Workflow comments is already good; consider one line on interpreting the refs JSON for less common element roles.

DimensionReasoningScore

Conciseness

The body is almost entirely dense, commented command blocks and tables of commands — it explains nothing Claude already knows and contains no padding. It matches anchor 5 ('lean and efficient; assumes Claude's competence') rather than anchor 4, which reserves room for over-explanation that is simply absent here.

5 / 5

Actionability

Every section is copy-paste-ready CLI syntax ('agent-browser click @e2', 'agent-browser fill @e3 "text"'), and two worked examples (search-and-extract, multi-session testing) cover common cases. This matches anchor 5's 'fully executable; copy-paste ready... specific examples cover the common cases'.

5 / 5

Workflow Clarity

The Core Workflow section sequences navigate → snapshot → parse refs → interact → re-snapshot, reinforced by stability checkpoints ('wait --load networkidle') in Best Practices and the examples. It falls short of anchor 5 because there are no explicit validate→fix→retry feedback loops (e.g., what to do when a ref is stale or a wait times out), though no destructive/batch operation triggers the score-3 cap.

4 / 5

Progressive Disclosure

The body is well-sectioned but is a ~200-line full command API reference inlined entirely in SKILL.md, with no references/, scripts/, or assets/ bundle to offload it. This matches anchor 3 ('some structure... content that should be separate is inline') — better organized than anchor 2's structureless wall, but lacking anchor 4's 'bulk in separate file' split.

3 / 5

Total

17

/

20

Passed

Description

53%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 communicates a clear, differentiated 'what' with two concrete technical mechanisms, but omits any 'when to use' guidance and relies on jargon-adjacent phrasing rather than natural user trigger terms. Adding a 'Use when...' clause and a broader set of everyday keywords (scraping, form filling, navigation, screenshots) would lift it substantially.

Suggestions

Add an explicit trigger clause, e.g. 'Use when automating web pages, scraping content, filling forms, or testing multi-step browser flows.'

Enumerate concrete capabilities (navigate, click/fill elements by ref, extract text/attributes, manage sessions/cookies) instead of only naming the underlying mechanisms.

Include natural synonyms users would say — 'web scraping', 'headless browser', 'form filling', 'screenshot' — alongside the technical phrasing.

DimensionReasoningScore

Specificity

The description names the domain ('Headless browser automation CLI') and two concrete mechanisms ('accessibility tree snapshots', 'ref-based element selection'), but enumerates no actual actions such as navigate, click, fill, or extract. It matches 'names domain and 1-2 concrete actions, but not comprehensive' rather than anchor 4's 'several specific actions' and is more concrete than anchor 2's purely generic 'Processes PDF files' style.

3 / 5

Completeness

The 'what' is clear (browser automation via a11y-tree snapshots with ref-based selection), but there is no 'Use when...' clause or any trigger guidance, which the guidelines state caps completeness at 3. It does not reach anchor 4, which requires both 'what' and an explicit 'when'.

3 / 5

Trigger Term Quality

'Headless browser automation' is a natural phrase users would say, but common variations like 'web scraping', 'fill forms', 'navigate', 'click', or 'take a screenshot' are missing. This fits 'some relevant keywords but missing common variations or synonyms' — better than anchor 2's generic-only coverage, short of anchor 4's 'good keyword coverage'.

3 / 5

Distinctiveness Conflict Risk

The niche is fairly distinct — ref-based selection on accessibility-tree snapshots distinguishes it from generic browser/scraping skills — with only minor overlap risk against closely related Playwright/browser-automation skills. It is more specific than anchor 3's 'could still overlap with similar skills' but lacks the explicit trigger phrases of anchor 5.

4 / 5

Total

13

/

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

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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