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computer-use-agents

Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives.

Quality

67%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/computer-use-agents/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

61%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.

A well-structured, token-efficient overview body that correctly offloads bulk material to a clearly signaled one-level-deep reference. Its weaknesses are the absence of any executable code or commands and of an explicit sequenced workflow with validation checkpoints in the body itself, both delegated to the guide.

Suggestions

Add a brief topic map of the detailed guide's sections (e.g. 'Patterns: sandboxed environment, browser-use, user confirmation, action logging; Sharp edges; Latency') so focused readers can jump directly, lifting progressive disclosure to the top anchor.

Inline one minimal executable anchor — e.g. the Dockerfile sandbox skeleton or a short tool-call schema example — so the body's actionability does not depend entirely on loading the 1759-line guide.

State the top-level operating sequence explicitly in the body (authorize → sandbox → act with budgets → verify observable postcondition), so workflow clarity stands alone even before the guide is read.

DimensionReasoningScore

Conciseness

The ~40-line body is lean with no explanations of concepts Claude already knows and delegates all reference material to the guide. Minor trimming is possible — the opening paragraph restates the frontmatter description verbatim, and the 'User mentions or implies:' prefix repeats across all ten trigger bullets — matching the 4 anchor rather than the 5 anchor's 'every token earns its place'.

4 / 5

Actionability

The body gives some concrete guidance — a specific file to read ('Read [the detailed guide](references/detailed-guide.md) before executing this skill') and specific validation requirements ('action schemas, finite coordinates within display bounds, key/button allowlists and text/scroll limits', 'time, step and spending budgets') — but contains no executable code or commands itself, matching the 'some concrete guidance but incomplete' anchor. It is not a 2 because the boundary directives are far more specific than high-level hints.

3 / 5

Workflow Clarity

A rough sequence exists (trigger check in When to Use, then read the guide, then enforce Implementation boundaries) and validation requirements are stated ('a reported success requires observable verification'), but the operational sequence and explicit checkpoints are delegated to the external guide. Per the rubric's guideline, a skill involving operations that can be destructive (controlling a real computer, typing, clicking) without an in-body validation sequence is capped at 3; it is not a 2 because validation is prominently addressed rather than absent.

3 / 5

Progressive Disclosure

The bundle structure is sound: a single one-level-deep reference (references/detailed-guide.md, verified to exist and clearly sectioned), signaled in its own '## Detailed Guide' section with guidance on reading fully vs. loading relevant sections, and the body stays lean as an overview. It falls short of the 5 anchor because the body recommends focused section loading without naming the guide's sections (patterns, sharp edges, latency), so a focused reader must scan the full 1759-line file to navigate.

4 / 5

Total

14

/

20

Passed

Description

58%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 specific, well-scoped description with concrete actions and a clear niche, but it omits any 'when to use' trigger guidance and lacks the natural synonym layer (GUI automation, desktop automation, browser agent) that would help users and Claude select it. The strongest element is its distinctiveness; the weakest is completeness of trigger information.

Suggestions

Add an explicit 'Use when...' clause to the description, e.g. "Use when the user mentions computer use, GUI automation, desktop automation, or browser/screen-control agents", to lift completeness beyond the 3 cap.

Fold 2-3 natural trigger synonyms (e.g. 'GUI automation', 'browser agent', 'RPA') from the body's When to Use list into the description so trigger matching does not depend on the body being loaded.

DimensionReasoningScore

Specificity

The description lists four concrete actions ("viewing screens, moving cursors, clicking buttons, and typing text") plus named provider ecosystems (Anthropic's Computer Use, OpenAI's Operator/CUA), matching the anchor for several specific actions with minor gaps such as scrolling or drag interactions. It falls short of the 5 anchor because coverage of the domain's action space is not fully comprehensive, and it clearly exceeds the 3 anchor's '1-2 concrete actions'.

4 / 5

Completeness

The 'what' is clearly stated (build agents that view screens, move cursors, click, type across three provider ecosystems), but there is no 'Use when...' clause or equivalent explicit trigger guidance in the description, which per the judging guidelines caps completeness at 3. It is not a 4 because 'when' is entirely absent rather than merely imprecise.

3 / 5

Trigger Term Quality

"Computer Use" and "Operator/CUA" are relevant keywords, but common natural variations users would say — GUI automation, desktop automation, browser agent, screen control — appear only in the body's When to Use list, not in the description. This matches the 'some relevant keywords but missing common variations or synonyms' anchor, not the 4 anchor's 'good keyword coverage'.

3 / 5

Distinctiveness Conflict Risk

Vision-based computer control with named providers is a distinct niche unlikely to trigger the wrong skill, but without explicit trigger phrasing there is minor overlap risk with closely related skills (browser automation, general agent building). It is mostly distinct rather than the 5 anchor's minimal-conflict profile.

4 / 5

Total

14

/

20

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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository

sickn33/agentic-awesome-skills

Path

skills/computer-use-agents/SKILL.md

Reviewed

Table of Contents

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