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video-creation-suite

完整的视频创作套件,支持原创创作、视频二创、视频分析三种模式,集成Coze Bot API、Edge-TTS、Suno API,涵盖多智能体协同、素材生成、视频合成全流程

60

Quality

70%

Does it follow best practices?

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SecuritybySnyk

Critical

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

Quality

Content

72%

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 with concrete script invocations and a well-organized, verified resource index, but it is held back by duplicated dependency/API sections and workflows that lack inline validation feedback loops plus a mislabeled stage count. Consolidating the repeated sections and adding explicit checkpoints would raise the weaker dimensions.

Suggestions

Consolidate the duplicated dependency list and API configuration — keep them in one place (frontmatter/前置准备 or the API 配置说明 section) to remove redundancy and tighten conciseness.

Add inline validation checkpoints (e.g. validate analysis.json before generating materials, re-run quality_checker.py on failure) with explicit fix→retry loops, especially for the batch frame-extraction and synthesis pipeline.

Fix the '5阶段协同流程' heading, which currently lists 7 items, so the stage count matches the enumerated steps.

DimensionReasoningScore

Conciseness

The body is mostly task-focused and concrete, but it duplicates content: the dependency block appears in both frontmatter and the 前置准备 section, and API configuration appears in both 前置准备 and the trailing API 配置说明 section, so it 'includes some unnecessary explanation or could be tightened' rather than being lean.

2 / 3

Actionability

It gives fully executable, copy-paste-ready commands with specific flags and output paths, e.g. 'scripts/video_frame_extractor.py --input <原视频路径> --output ./output/frames --interval 2' and 'scripts/voice_generator.py --input <旁白数据JSON> --output ./output/audio/voice', matching the 'fully executable code/commands' anchor; the <placeholder> args are parameterized inputs, not pseudocode.

3 / 3

Workflow Clarity

Sequencing is clear (numbered phases and steps, explicit mode-selection triggers), but validation is a final 质量管控 step rather than inline validate→fix→retry checkpoints, and the '5阶段协同流程' heading actually lists 7 items — a structural inconsistency that places it at 'steps listed but validation gaps' rather than level 3.

2 / 3

Progressive Disclosure

The 资源索引 section provides clear categorical navigation to one-level-deep references/scripts/assets, and every referenced path (references/*.md, scripts/*.py, assets/scene-examples/, assets/character-reference/) was verified to exist, matching the 'clear overview with well-signaled one-level-deep references' anchor; the single unreferenced assets/ui-components file is a minor orphan that does not undermine the structure.

3 / 3

Total

10

/

12

Passed

Description

67%

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, naming three concrete modes and three integrated APIs, but it lacks an explicit 'Use when...' trigger clause and offers only a limited set of natural trigger-term variations. Adding explicit trigger guidance and a few more user-natural phrasings would lift the weaker dimensions.

Suggestions

Append an explicit trigger clause such as 'Use when the user wants to create, re-create (二创), or analyze videos' to satisfy the 'when should Claude use it' requirement and raise completeness.

Broaden trigger-term coverage with common natural variations users actually say (e.g. 剪辑视频、制作视频、视频解说、分镜提取) rather than only the mode names.

Trim the closing fluff '全流程' padding and lead with the concrete actions to keep the description tight.

DimensionReasoningScore

Specificity

The description lists multiple concrete capabilities — '原创创作、视频二创、视频分析三种模式' and names specific integrated tools 'Coze Bot API、Edge-TTS、Suno API' plus '多智能体协同、素材生成、视频合成', matching the multiple-specific-actions anchor rather than the domain-and-some-actions level 2.

3 / 3

Completeness

It clearly answers 'what does this do' (完整视频创作套件 + three modes + integrated APIs) but has no 'Use when...' clause or equivalent explicit trigger guidance, which per the guidelines caps completeness at 2.

2 / 3

Trigger Term Quality

It contains relevant natural terms a user might say ('视频创作', '视频二创', '视频分析') but lacks common variations (e.g. 剪辑/制作/解说视频) and is capability-listing rather than a rich set of trigger phrasings, fitting 'some relevant keywords but missing common variations'.

2 / 3

Distinctiveness Conflict Risk

The video-creation-suite framing with three named modes and specific APIs (Coze Bot, Edge-TTS, Suno) carves a clear niche unlikely to conflict with unrelated skills, matching the 'clear niche with distinct triggers' anchor; it is above level 2 because the named APIs and three-mode structure make it distinctly identifiable.

3 / 3

Total

10

/

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
anbeime/skill
Reviewed

Table of Contents

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