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cua-driver-rs

Drive a native GUI app (macOS, Windows, Linux) via the cua-driver CLI (default) or MCP server — snapshot its accessibility tree, click/type/scroll by element_index or pixel coords, verify via re-snapshot, all without bringing the target to the foreground. Use when the user asks you to operate, drive, automate, or perform a GUI task in a real application on the host.

72

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Critical

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SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

The body is highly actionable with strong, validated multi-step workflows, but it is long and redundant, and its progressive-disclosure design depends on companion files that are not present in the bundle.

Suggestions

Consolidate the snapshot-before/after invariant into one authoritative section and cross-reference it instead of restating it in the behavior matrix, canonical loop, and re-snapshot section to recover token budget.

Provide the referenced companion files (MACOS.md, WINDOWS.md, LINUX.md, WEB_APPS.md, RECORDING.md, TESTS.md) or move their inline material out of the core so the one-level-deep references resolve to real files.

Trim explanatory backstory such as the IINA OpenSubtitles reproducer to a one-line rationale, keeping the actionable rule without the narrative.

DimensionReasoningScore

Conciseness

The body is genuinely about a tool Claude doesn't know, but at ~770 lines it repeats the snapshot invariant across four sections (core invariant, behavior matrix, canonical loop, "Re-snapshot and verify — mandatory") and includes backstory like the IINA reproducer narrative that could be trimmed. It is mostly efficient but clearly could be tightened, matching the score-2 anchor.

2 / 3

Actionability

Concrete, copy-paste-ready commands abound — `cua-driver serve` / `launch_app '{...}'` workflows, a full tool dispatch table with exact signatures, and an executable PIL crosshair script — matching the score-3 anchor for fully executable guidance.

3 / 3

Workflow Clarity

The verify-then-escalate ladder is an explicit pseudocode algorithm with validation checkpoints and a feedback loop (snapshot → act → re-snapshot → escalate rung on a real signal → retry), and the canonical loop is clearly sequenced, matching the score-3 anchor.

3 / 3

Progressive Disclosure

Companion files (MACOS.md, WINDOWS.md, LINUX.md, WEB_APPS.md, RECORDING.md, TESTS.md) are clearly signaled one level deep, but no bundle files actually exist in references/scripts/assets, so the references dangle and the 770-line core still holds content that the split was meant to offload — matching the score-2 anchor of structure present but content that should be separate remaining inline.

2 / 3

Total

10

/

12

Passed

Description

100%

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 third-person, concrete, and answers both what and when with an explicit Use-when trigger clause. It lists specific actions and occupies a clearly distinct niche.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "snapshot its accessibility tree, click/type/scroll by element_index or pixel coords, verify via re-snapshot" — matching the score-3 anchor that enumerates specific operations rather than vague verbs.

3 / 3

Completeness

It explicitly answers both what (drive a native GUI app via cua-driver, snapshot, click/type/scroll, verify) and when via an explicit "Use when..." clause, matching the score-3 anchor that requires both with explicit triggers.

3 / 3

Trigger Term Quality

The "Use when the user asks you to operate, drive, automate, or perform a GUI task in a real application" clause supplies natural verbs a user would actually say (operate, drive, automate, GUI task), giving good trigger coverage.

3 / 3

Distinctiveness Conflict Risk

The niche is precise — cross-platform native GUI automation via the cua-driver CLI/MCP without foregrounding — with distinct triggers unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (772 lines); consider splitting into references/ and linking

Warning

Total

15

/

16

Passed

Repository
QwenLM/qwen-code
Reviewed

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