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video-creation-suite

自媒体创作者与影片与视频编辑当需要从零原创、二次创作或深度分析视频时,请使用此套件。通过11个智能体协同,一键生成配音、音效与BGM并合成高质量视频,或自动抽帧提取分镜提示词,全流程大幅提升视频产出效率。

61

Quality

72%

Does it follow best practices?

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SecuritybySnyk

High

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tessl review fix ./skills/video-creation-suite/video-creation-suite/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

61%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 body is well organized and highly actionable, with every stage mapped to a real script and concrete parameters, and clean one-level-deep reference links. It is dragged down by duplicated dependency/API sections, unspecified input JSON formats, and absent validation checkpoints for batch and synthesis operations — the latter capping workflow clarity at 3.

Suggestions

Remove the duplicated '### 环境依赖' block and merge the two API-configuration sections ('前置准备/API 配置' and 'API 配置说明') into one, ideally moved to a reference file such as suno-api-guide.md, to fix the conciseness gaps.

Add explicit validation checkpoints after batch and synthesis steps — e.g. verify extracted frames exist and are non-empty before visual analysis, and run scripts/quality_checker.py in modes 2 and 3 (not just mode 1) with a fix-and-retry loop on failure.

Specify or link the input JSON schemas for the placeholder arguments (e.g. <旁白数据JSON>, <音效配置JSON>, <音乐配置JSON>) so the script commands are fully executable without guessing formats.

DimensionReasoningScore

Conciseness

Mostly efficient structured content, but with real duplication: the dependency list appears verbatim in both frontmatter and the '### 环境依赖' block, API configuration is covered twice ('前置准备/API 配置' and the closing 'API 配置说明'), Edge-TTS installation is repeated, and the '使用示例' section restates flows already detailed per mode — more than the minor trimming a 4 allows.

3 / 5

Actionability

Provides concrete script invocations with parameters and output paths (e.g. 'scripts/voice_generator.py --input <旁白数据JSON> --output ./output/audio/voice') for every stage, but placeholder input JSONs are never given a schema or example, so commands are adaptable rather than fully copy-paste ready.

4 / 5

Workflow Clarity

Sequences are clear (阶段 → numbered steps with outputs per step), but validation checkpoints are missing or implicit: '质量管控' exists only in mode 1, and the batch frame-extraction operations in modes 2 and 3 have no verify step, which the rubric caps at 3.

3 / 5

Progressive Disclosure

Good structure: overview, per-mode workflows, and a '资源索引' linking one level deep to real references/ and scripts/ files (all verified to exist). Held below 5 by inlined configuration/voice-list details that belong in reference files, duplicated sections, and the unmentioned assets/ui-components/ directory.

4 / 5

Total

14

/

20

Passed

Description

83%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.

A strong description: it names the audience, gives multiple concrete capabilities, and carries an explicit use-when clause with three trigger scenarios. Its main weaknesses are mild promotional padding and a few missing natural synonyms (剪辑, 解说, .mp4) that slightly narrow trigger coverage.

DimensionReasoningScore

Specificity

Lists several concrete actions ('一键生成配音、音效与BGM并合成高质量视频', '自动抽帧提取分镜提示词') with minor coverage gaps (subtitles and image generation are body capabilities not surfaced), diluted slightly by marketing fluff ('全流程大幅提升视频产出效率') and a mechanism ('11个智能体协同') rather than a user capability.

4 / 5

Completeness

Explicitly answers both: what it does ('生成配音、音效与BGM并合成高质量视频...抽帧提取分镜提示词') and when to use it ('当需要从零原创、二次创作或深度分析视频时,请使用此套件') with three concrete trigger scenarios, matching the top anchor.

5 / 5

Trigger Term Quality

Includes natural phrases users would actually say ('从零原创', '二次创作', '深度分析视频', 'BGM', '配音', '分镜提示词', '自媒体创作者'), but misses common variations such as '剪辑/混剪/解说视频' and file extensions like .mp4, so it falls just short of comprehensive.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (agent-driven end-to-end video creation/analysis suite) with distinct triggers, but broad '视频' terms create minor overlap risk with a generic video-editing skill, keeping it below the minimal-conflict anchor.

4 / 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.

Validation — 15 / 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
anbeime/skill
Reviewed

Table of Contents

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