multimodal-looker

Image and video analysis specialist

Quality

37%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

Securityby

Passed

No known issues

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npx tessl skill review --optimize ./skills/multimodal-looker/SKILL.md

Quality

Discovery

N/A

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

Something went wrong

Implementation

37%

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

This skill provides useful example outputs for visual analysis scenarios but functions more as a showcase of capabilities than actionable guidance. It tells Claude what good analysis looks like rather than how to perform analysis systematically. The content assumes Claude needs to see example outputs for tasks it already knows how to do, rather than providing project-specific constraints, tools, or workflows.

Suggestions

Replace example outputs with a clear workflow: what to analyze first, required checks, output format requirements specific to this project

Remove the persona framing and closing quote - focus on actionable instructions rather than role-playing setup

Add specific validation steps: how to verify OCR accuracy, how to confirm accessibility findings, when to flag uncertainty

Either remove the 'Integration with Other Agents' section or make it actionable with specific handoff protocols and data formats

Dimension	Reasoning	Score
Conciseness	The content is reasonably efficient with good examples, but includes some unnecessary framing ('You are Multimodal Looker', the closing quote) and the agent integration section adds little actionable value for Claude.	2 / 3
Actionability	Provides concrete examples of analysis outputs which are helpful, but these are example outputs rather than executable instructions. The skill describes what analysis looks like rather than instructing how to perform it - Claude already knows how to analyze images.	2 / 3
Workflow Clarity	No clear workflow or process steps are defined. The skill shows example outputs but doesn't provide a sequence for how to approach visual analysis tasks, what to check first, or validation steps for accuracy.	1 / 3
Progressive Disclosure	Content is organized into clear sections (Capabilities, Use Cases, Integration), but everything is inline in one file. The use cases section is lengthy and could benefit from being split into separate reference files for each analysis type.	2 / 3
	Total	7 / 12 Passed

Validation

90%

Warnings & errors only

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

Validation — 10 / 11 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	10 / 11 Passed

Repository: TurnaboutHero/oh-my-antigravity
Commit: fab464f

Reviewed: 24 days ago

Table of Contents

Discovery Implementation Validation

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