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

72%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

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tessl review fix ./library/motion/freeze-effect-video/SKILL.md

Quality

Content

75%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.

The content is well-structured, actionable, and token-efficient for a single-step generative recipe, with a complete prompt payload and clear CLI parameters. The main gaps are cosmetic (the lone 'Phase A' label) and the absence of any failure-handling guidance.

Suggestions

Drop the 'Phase A' heading (or add the implied subsequent phases) since only one phase exists, removing the suggestion of missing steps.

Add a brief validation/recovery note for when generation fails or returns no video (e.g., retry or report the error to the user).

Consider giving one literal copy-paste shell invocation for the common case to push actionability from a parameterized spec to fully copy-paste ready.

Dimension	Reasoning	Score
Conciseness	The body is lean and assumes competence; the inline prompt payload earns its tokens, with only minor trim opportunity in the curl-fallback paragraph of 'Notes for the Executing Agent'.	4 / 5
Actionability	Provides a concrete CLI spec (`muapi video from-image` with model, quality, generate_audio, resolution) plus a full timecoded prompt and curl fallback, but it is a parameterized spec rather than a literal copy-paste shell command, leaving a minor gap.	4 / 5
Workflow Clarity	The single generation step is unambiguous and the simple-skill exception applies, but the 'Phase A' label implies further phases that never appear and there is no error-recovery guidance if generation fails, so it sits below a 5.	4 / 5
Progressive Disclosure	Self-contained with well-organized sections (Inputs, Steps, Notes, Trigger Keywords, Executing Agent notes) and no nested references, but at ~90 lines it exceeds the under-50-line simple-skill threshold for a clean 5.	4 / 5
	Total	16 / 20 Passed

Description

70%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.

The description is specific and distinctive, clearly conveying what the skill produces, but it omits any explicit 'Use when...' trigger guidance, which caps its completeness. Adding a when-to-use clause would lift the strongest remaining weakness.

Suggestions

Append a 'Use when...' clause naming concrete user triggers, e.g. 'Use when the user asks for a freeze effect, time-stop, or bullet-time crowd video.'

Broaden trigger terms in the description with synonyms like 'time freeze' or 'bullet time' to improve natural keyword coverage.

Keep the current concrete action beats; they already anchor specificity well.

Dimension	Reasoning	Score
Specificity	Names the domain ('freeze effect video') and three concrete narrative actions — 'time stops mid-scene', 'the subject walks through the frozen world', 'time resumes with a snap' — fitting the 'several specific actions; minor gaps' anchor rather than the 1-2 action anchor below.	4 / 5
Completeness	The 'what' is explicit and concrete, but there is no 'Use when...' clause or equivalent trigger guidance in the description, which per the judging guidelines caps completeness at 3.	3 / 5
Trigger Term Quality	Includes natural phrases a user would say ('freeze effect', 'time stops', 'frozen world', 'snap') but omits common synonyms like 'time freeze' or 'bullet time' that appear elsewhere in the skill, so it sits just below comprehensive coverage.	4 / 5
Distinctiveness Conflict Risk	'Cinematic freeze effect video' is a clearly distinct niche with specific triggers and very low overlap risk against generic video-generation skills.	5 / 5
	Total	16 / 20 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: 5519622

Reviewed: 1 day ago

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