muapi-freeze-effect-video

Generate a cinematic "freeze effect" video where time stops mid-scene, the subject walks through the frozen world, then time resumes with a snap.

Quality

83%

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Securityby

Passed

No findings from the security scan

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 content is a well-structured, fully executable single-step recipe with concrete commands, a complete generation prompt, and clear organization. It efficiently uses tokens while giving Claude everything needed to act.

Dimension	Reasoning	Score
Conciseness	The body is lean and purposeful — an inputs table, the literal generation prompt (which is the deliverable), and targeted operational notes — assuming Claude's competence with only minor redundancy (the description repeated at top).	3 / 3
Actionability	It provides a fully executable command (`muapi video from-image` with concrete model=seedance-v2.0-i2v, quality, generate_audio, resolution) plus a complete prompt and a curl fallback — copy-paste ready.	3 / 3
Workflow Clarity	As a single-step skill, the one action is unambiguous and fully parameterized; the operation is non-destructive so the missing validation feedback loop does not cap the score.	3 / 3
Progressive Disclosure	It is a single self-contained file with well-organized sections (Inputs, Steps, Notes, Triggers, Executing Agent) and no nested or deep references, which is appropriate for a single-step recipe.	3 / 3
	Total	12 / 12 Passed

Description

67%

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 vivid and specific about the effect it produces, with a clear niche that avoids conflict risk. Its main weakness is the absence of explicit 'when to use' trigger guidance and incomplete natural-term coverage.

Suggestions

Append a 'Use when…' clause naming trigger phrases (e.g. 'Use when the user asks for a time-freeze, bullet-time, or frozen-world video effect') to lift completeness to 3.

Add common natural trigger variations such as 'time stop video', 'bullet time', and 'frozen world' directly in the description to improve trigger-term coverage.

Tighten the narrative beats into a single concrete action statement so the 'what' reads as a capability rather than a scene description.

Dimension	Reasoning	Score
Specificity	The description lists concrete narrative beats — 'Generate a cinematic freeze effect video', 'time stops mid-scene', 'the subject walks through the frozen world', 'time resumes with a snap' — rather than vague language.	3 / 3
Completeness	It clearly answers 'what' the skill does but provides no explicit 'when to use it' trigger guidance, which caps completeness at 2 per the rubric.	2 / 3
Trigger Term Quality	It contains some relevant natural terms ('freeze effect', 'time stops', 'frozen world', 'snap') but lacks a 'Use when…' framing and omits common variations like 'time stop video' or 'bullet time'.	2 / 3
Distinctiveness Conflict Risk	The cinematic freeze-effect video niche is specific and distinctive, making it unlikely to trigger for the wrong skill.	3 / 3
	Total	10 / 12 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

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

	Total	15 / 16 Passed

Repository: SamurAIGPT/Generative-Media-Skills
Path: library/motion/freeze-effect-video/SKILL.md
Commit: 71242e2

Reviewed: about 21 hours ago

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