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muapi-media-generation

Generate AI images, videos, music, and audio from the terminal via muapi.ai — supports 100+ models including Flux, Midjourney v7, Kling 3.0, Veo3, and Suno V5

62

Quality

73%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./core/media/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

72%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 highly actionable and mostly concise with executable examples covering common cases, but it lacks workflow/validation guidance for the async generation flow and references scripts/schema files that are missing from the bundle.

Suggestions

Add the referenced bundle files (generate-image.sh, generate-video.sh, image-to-video.sh, create-music.sh, upload.sh, schema_data.json) or remove the references, so the progressive-disclosure promise is fulfilled.

Document the async generation workflow (submit -> poll -> retrieve/view) with an explicit validation/checkpoint step rather than only listing --async and --view flags.

Trim marketing adjectives ("professional-grade", "state-of-the-art") to improve token efficiency.

DimensionReasoningScore

Conciseness

Largely lean — a scripts table plus copy-paste quick-start commands — but minor marketing padding ("professional-grade", "state-of-the-art AI models") could be trimmed, fitting the efficient-with-minor-trim anchor.

4 / 5

Actionability

Fully executable, copy-paste-ready commands for each common case (image, video, image-to-video, music, upload) plus a flags list and concrete requirements, matching the fully-executable anchor.

5 / 5

Workflow Clarity

Each script is an independent one-liner with no multi-step sequencing or validation checkpoints; the async generate-then-retrieve flow hinted by --async/--view is not explained, fitting the steps-present-but-checkpoints-missing anchor.

3 / 5

Progressive Disclosure

The body is well organized as an overview (scripts table, quick start) but references bundle files (generate-image.sh, schema_data.json, core/platform/setup.sh) that are not present in the bundle, so the one-level-deep reference promise is unfulfilled.

3 / 5

Total

15

/

20

Passed

Description

75%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 highly distinctive with strong model-name triggers, but it lacks any explicit "Use when..." trigger guidance, which caps its completeness. Adding a when-to-use clause would raise the completeness score.

Suggestions

Add a 'Use when...' clause (e.g., 'Use when generating AI images, videos, music, or audio from the terminal') to explicitly signal when Claude should invoke this skill.

Include common synonyms users say (e.g., 'create'/'make') and key file extensions (e.g., .mp4, .mp3) to improve trigger-term coverage.

DimensionReasoningScore

Specificity

Lists multiple concrete actions across modalities — "Generate AI images, videos, music, and audio" — with comprehensive coverage of the media-generation domain, matching the comprehensive-coverage anchor.

5 / 5

Completeness

Has a clear "what" (generate media via muapi.ai) but no "Use when..." clause or equivalent explicit trigger guidance, which caps completeness at 3 per the judging guidelines.

3 / 5

Trigger Term Quality

Strong natural triggers ("AI images", "videos", "music", "audio") plus model brand names users say (Flux, Midjourney v7, Kling, Veo3, Suno V5), but missing common synonyms ("make/create") and file extensions, so not the comprehensive-coverage anchor.

4 / 5

Distinctiveness Conflict Risk

Names a clear niche (muapi.ai terminal media generation) with specific model brand names as distinct triggers, giving minimal conflict risk with other skills.

5 / 5

Total

17

/

20

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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