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acestep

AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extraction, cover, style transfer, or musical composition tasks.

72

Quality

88%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

A dense, highly actionable reference for ACE-Step music generation with executable commands, presets, and clear task sequencing. Its main weakness is monolithic structure with no progressive disclosure to separate reference files, plus a few sections that could be tightened.

Suggestions

Split the detailed Prompt Engineering and Video Production Integration sections into separate reference files (e.g. PROMPTING.md, VIDEO.md) referenced from a leaner SKILL.md overview to improve progressive disclosure.

Shorten the inline lyrics example to a single short stanza plus a pointer, rather than a full four-section song and a second jingle example, to improve token efficiency.

Trim the 'future' task types (repaint/lego/complete) to a one-line note or move them to a reference, since they are not yet actionable.

DimensionReasoningScore

Conciseness

Mostly efficient and free of basic-concept padding, but the full multi-verse lyrics example and a second jingle example add length that could be trimmed; a few sections ('future' task types, Remotion mix snippet) are more than strictly necessary.

2 / 3

Actionability

Copy-paste-ready CLI commands throughout, a presets table with concrete BPM/key values, exact cover-strength values, and a listed stem track set — fully executable guidance.

3 / 3

Workflow Clarity

The 'Creating a Song (Step by Step)' and 'Timing Workflow' sections give clear numbered sequences; no validation checkpoints are needed since music generation is non-destructive, satisfying the simple-skill allowance.

3 / 3

Progressive Disclosure

Well-organized with clear sections, but it is a monolithic ~260-line file with no bundle reference files split out; detailed prompt-engineering and video-integration material that could live in separate references is inline.

2 / 3

Total

10

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12

Passed

Description

100%

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

A strong, third-person description that names concrete capabilities, supplies explicit 'Use when' triggers with natural keyword coverage, and is clearly scoped to music/audio generation. It satisfies every dimension at the top anchor without padding.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'background music, vocal tracks, covers, stem extraction for video production' — matching the anchor for naming several specific capabilities rather than vague language.

3 / 3

Completeness

Explicitly states both what it does ('AI music generation with ACE-Step 1.5 ...') and when to use it via an explicit 'Use when generating music, soundtracks, jingles...' clause with enumerated triggers.

3 / 3

Trigger Term Quality

Covers natural terms a user would say — 'background music, soundtrack, jingle, music generation, stem extraction, cover, style transfer, or musical composition tasks' — giving broad coverage of common phrasings.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche (music generation via ACE-Step 1.5) with distinct audio-specific triggers unlikely to collide with other skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
calesthio/OpenMontage
Reviewed

Table of Contents

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