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muapi-animal-video-generator

Create a hilarious and ultra-realistic video of an anthropomorphic animal acting like a human vlogger in a real-world setting.

63

Quality

75%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./library/motion/animal-video-generator/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, actionable recipe: concrete CLI commands and model IDs, full prompt templates, a clearly sequenced two-phase workflow with an explicit user-approval checkpoint, and well-organized sections with no padding. It satisfies the top anchor on every dimension.

DimensionReasoningScore

Conciseness

The body is lean: it gives concrete prompts, model IDs, and commands without explaining concepts Claude already knows, and every section (Inputs, Steps, Triggers, Notes) earns its place; the only minor redundancy is the H1/bold restatement of the description, which is not enough to drop it from 'lean and efficient'.

3 / 3

Actionability

It supplies fully executable guidance — `muapi image generate` / `muapi video generate` commands, specific model IDs (`nano-banana`, `veo3.1-fast-image-to-video`), complete prompt templates with `{{placeholder}}` substitution, aspect ratios, and a copy-ready curl fallback — matching the 'fully executable, copy-paste ready' anchor.

3 / 3

Workflow Clarity

The two phases (generate image, then generate video) are clearly sequenced with an explicit validation checkpoint — 'After generating the image, present it to the user' and 'Once the image is approved, submit a second plan' — providing the feedback loop the top anchor expects.

3 / 3

Progressive Disclosure

As a single-purpose, well-organized skill under 50 lines with no need for external references, it uses clear section headers (Inputs, Steps by phase, Trigger Keywords, Notes) and avoids nested references, which per the scoring notes earns a 3 without external bundle files.

3 / 3

Total

12

/

12

Passed

Description

50%

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 paints a vivid, specific picture of the skill's output but stops at describing what it makes; it lacks an explicit 'when to use it' trigger clause and natural keyword variations. All four dimensions land at the middle anchor because it is specific yet not trigger-complete.

Suggestions

Append a 'Use when...' clause naming natural triggers, e.g. 'Use when the user wants a funny animal vlog video, an anthropomorphic animal clip, or a viral animal-in-human-setting video.'

Surface concrete keyword variations users would actually say ('funny animal video', 'talking animal vlog', 'animal in Noida') rather than only the descriptive phrase 'anthropomorphic animal acting like a human vlogger'.

Add at least one more concrete capability (e.g. 'with lip-synced dialogue') so the specificity dimension lists multiple specific actions rather than a single one.

DimensionReasoningScore

Specificity

The phrase 'Create a hilarious and ultra-realistic video of an anthropomorphic animal acting like a human vlogger' names a concrete action and a vivid domain, but it lists only a single action rather than 'multiple specific concrete actions' required for a 3.

2 / 3

Completeness

It clearly answers 'what does this do' but contains no 'Use when...' clause or equivalent explicit trigger guidance, which per the judging guidelines caps completeness at 2.

2 / 3

Trigger Term Quality

It surfaces relevant words ('video', 'vlogger', 'animal') but phrases them as descriptive narrative ('anthropomorphic animal acting like a human vlogger') rather than as the natural keyword variations a user would actually say, so coverage is partial.

2 / 3

Distinctiveness Conflict Risk

The anthropomorphic-animal-vlogger concept is a fairly distinct niche, but the absence of explicit distinct triggers means it could still overlap with general video-generation skills, so it does not reach the 'clear niche with distinct triggers' anchor.

2 / 3

Total

8

/

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

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
SamurAIGPT/Generative-Media-Skills
Reviewed

Table of Contents

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