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vm-lab

Parallels macOS VM lab: GUI automation, Peekaboo, TCC, Ghostty.

66

Quality

78%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./skills/vm-lab/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

100%

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 tight, executable runbook: every section delivers concrete commands, validation checkpoints, and recovery guidance, with supporting logic offloaded to a single well-signaled script.

DimensionReasoningScore

Conciseness

The body is dense operational guidance that assumes Claude's competence (no 'what is a VM' padding); sections like 'Core idea', 'Known Pitfalls', and 'Two-Way Validation' each earn their tokens, matching the 'lean and efficient' anchor.

3 / 3

Actionability

It provides fully executable, copy-paste-ready bash (prlctl exec/capture, the guest-script heredoc, sips checks, the launcher link), matching 'fully executable code/commands; specific examples'.

3 / 3

Workflow Clarity

Multi-step flows carry explicit validation (Two-Way Validation's dual-signal checks, the Peekaboo baseline compare sequence) and error-recovery feedback loops ('If keystrokes produce garbage... retry'), plus a Reporting checklist, matching the top anchor.

3 / 3

Progressive Disclosure

A clear overview leads into well-organized sections, and the typing logic is split into the one-level-deep, clearly-signaled scripts/parallels_type.py referenced in the body, matching 'clear overview with well-signaled one-level-deep references'.

3 / 3

Total

12

/

12

Passed

Description

57%

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 distinctive and names its niche clearly, but it reads as a tool/tag list rather than a capability statement and omits any explicit 'use when' trigger guidance.

Suggestions

Add concrete action verbs, e.g. 'Run GUI automation, capture screenshots, and type keystrokes inside a Parallels macOS VM'.

Append a 'Use when...' clause naming natural triggers like 'when you need a clean macOS VM to test GUI tools, TCC prompts, or screenshot/click/type automation'.

Soften jargon by pairing 'TCC' and 'Peekaboo' with everyday phrasings ('privacy/permission prompts', 'screen-capture tool') so users can say them naturally.

DimensionReasoningScore

Specificity

Quotes 'GUI automation, Peekaboo, TCC, Ghostty' name the domain and tool areas but offer no concrete verbs (e.g. capture, type, validate); not comprehensive enough for a 3, yet more than the vague 'helps with' anchor at 1.

2 / 3

Completeness

It states what the skill does but lacks any 'Use when...' trigger clause, so per the judging guidelines completeness is capped at 2 ('has what, but when is missing or only implied').

2 / 3

Trigger Term Quality

'Parallels macOS VM lab' and 'GUI automation' are natural-ish terms, but 'Peekaboo', 'TCC', and 'Ghostty' are niche jargon a user would rarely say unprompted, matching 'some relevant keywords but missing common variations'.

2 / 3

Distinctiveness Conflict Risk

The 'Parallels macOS VM lab' niche with Peekaboo/TCC/Ghostty is highly specific and unlikely to trigger for unrelated skills, matching the 'clear niche with distinct triggers' anchor.

3 / 3

Total

9

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
steipete/agent-scripts
Reviewed

Table of Contents

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