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zoom-video-sdk-macos

Zoom Video SDK for macOS native desktop apps. Use when building custom macOS video sessions with native UI control, tokenized join, and desktop-oriented media/device workflows.

60

Quality

70%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./plugins/zoom/skills/video-sdk/macos/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

65%Weight 40%Scale 1-3

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

The SKILL.md body is an efficient, well-organized index that delegates detail to bundle files, which is the right shape for a reference hub. Its main weakness is that the navigation promise is unfulfilled: most referenced files are absent from the bundle, and the body itself offers no executable guidance.

Suggestions

Ship the referenced bundle files (macos.md, concepts/lifecycle-workflow.md, concepts/architecture.md, examples/session-join-pattern.md, scenarios/high-level-scenarios.md, troubleshooting/common-issues.md, RUNBOOK.md) or remove links to files that do not exist.

Add a minimal executable snippet or concrete command in the body (e.g., a one-line SDK import or session-join call) so the overview is actionable on its own.

Surface an explicit validation/preflight step inline or ensure RUNBOOK.md exists so the preflight-and-debug checklist referenced in Operations is real.

DimensionReasoningScore

Conciseness

The body is a lean navigation index with no concept explanation or padding; every line (Start Here list, Key Sources, Operations) earns its place and assumes Claude's competence.

3 / 3

Actionability

It provides concrete pointers (specific file paths and doc/API URLs) but no executable code or commands in the body itself, so it navigates rather than instructs.

2 / 3

Workflow Clarity

A numbered 'Start Here' reading sequence gives order, but there are no validation checkpoints or feedback loops, and the cited RUNBOOK preflight checklist lives in a non-existent file.

2 / 3

Progressive Disclosure

The overview is well-signaled with one-level-deep references, but scored against the actual bundle most linked files (macos.md, concepts/*, examples/*, scenarios/*, troubleshooting/*, RUNBOOK.md) do not exist, breaking navigation.

2 / 3

Total

9

/

12

Passed

Description

75%Weight 40%Scale 1-3

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 clearly answers both what the skill does and when to use it, with a well-scoped niche that avoids conflict risk. It is slightly held back by feature-area phrasing and some technical jargon in the trigger terms.

DimensionReasoningScore

Specificity

Names the domain and several concrete feature areas ('native UI control, tokenized join, and desktop-oriented media/device workflows'), but these are capability areas rather than the multiple discrete concrete actions of the score-3 anchor.

2 / 3

Completeness

Explicitly states what ('Zoom Video SDK for macOS native desktop apps') and when ('Use when building custom macOS video sessions...') with an explicit 'Use when' trigger clause.

3 / 3

Trigger Term Quality

'Zoom Video SDK', 'macOS', and 'video sessions' are natural user terms, but 'tokenized join' and 'media/device workflows' lean technical and omit common phrasings like 'Zoom video call' or 'desktop video app'.

2 / 3

Distinctiveness Conflict Risk

The narrow 'Zoom Video SDK for macOS native desktop apps' niche is clearly distinct from other skills and unlikely to trigger for the wrong skill.

3 / 3

Total

10

/

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

relative_links

Relative link issues: 7 missing, 1 suspicious

Warning

Total

15

/

16

Passed

Repository
openai/plugins
Reviewed

Table of Contents

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