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video-recreation

完整的视频二创工具,支持视频反推、素材生成(图片/音效/背景音乐/配音/字幕)、视频合成、文件下载的全流程,集成Coze Bot API进行视觉分析,使用Edge-TTS进行语音合成

60

Quality

71%

Does it follow best practices?

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SecuritybySnyk

Critical

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

Quality

Content

78%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 highly actionable with a well-structured, resumable multi-phase workflow and clean progressive disclosure into verified bundle files. Its main weakness is repetition of the API Key configuration and some conceptual role padding that could be trimmed.

Suggestions

Consolidate the Suno API Key configuration into a single section and reference it from the other two locations to remove the triple repetition.

Add explicit validation checkpoints between phases (e.g. 'verify ./output/analysis.json exists before generating assets') to strengthen the workflow.

Trim the 智能体角色分工 section and the inline voice examples, which re-state concepts Claude already knows.

DimensionReasoningScore

Conciseness

Mostly actionable but repeats the Suno API Key configuration three times (前置准备, 操作步骤5, 使用示例) and restates dependencies from the frontmatter, adding unnecessary tokens.

3 / 5

Actionability

Every step supplies exact executable commands with parameters plus copy-paste-ready example JSON payloads (audio_config.json, narration.json), covering the common cases.

5 / 5

Workflow Clarity

A clear three-phase numbered sequence pairs with explicit retry limits, an error log, and a 断点续传 resume loop, though per-phase validate-before-proceed checkpoints are only implicit.

4 / 5

Progressive Disclosure

The 资源索引 section signals one-level-deep references to real scripts and reference files (all verified to exist), with methodology, prompt templates, and the Suno guide appropriately split out.

5 / 5

Total

17

/

20

Passed

Description

63%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 capability-rich but omits any explicit trigger/usage guidance, so it answers 'what' well while leaving 'when' unanswered. It is distinct enough to avoid most conflicts but would benefit from natural trigger phrases.

Suggestions

Add a 'Use when...' clause with natural trigger phrases such as '用户要求二创视频、反推视频、视频重制或根据参考视频创作时使用'.

Include common synonyms and file extensions users might say (e.g. '视频二创', '反推', '重制') directly in the description to improve trigger term coverage.

Tighten the description to lead with the core action and triggers rather than enumerating every asset type inline.

DimensionReasoningScore

Specificity

Lists multiple concrete pipeline actions (视频反推、素材生成、视频合成、文件下载) and names integrated APIs (Coze Bot, Edge-TTS), giving comprehensive coverage of capabilities.

5 / 5

Completeness

Clearly answers 'what' (full pipeline plus integrated APIs) but provides no 'Use when...' trigger guidance, which caps completeness at 3 per the rubric.

3 / 5

Trigger Term Quality

Contains domain-relevant terms (视频反推, 素材生成) but lacks the natural user phrases and synonyms (e.g. '二创视频', '反推视频') that appear only in the body, not the description.

3 / 5

Distinctiveness Conflict Risk

The video-recreation niche with specific Coze Bot and Edge-TTS integrations is mostly distinct, with only minor overlap risk against general video-editing or subtitle skills.

4 / 5

Total

15

/

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
anbeime/skill
Reviewed

Table of Contents

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