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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

58

Quality

68%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Critical

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Fix and improve this skill with Tessl

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-structured and actionable, with concrete script calls and a clean resource index backed by real bundle files. Its main weaknesses are missing validation/verification checkpoints in batch workflows and some redundant or mislabeled sections.

Suggestions

Add explicit validation/verification steps (e.g. run quality_checker.py and confirm output before proceeding) to each mode's pipeline, especially before final video synthesis and file download.

Remove duplicated content — the environment dependencies and mode overviews appear both in前置准备/三种创作模式 and again in操作步骤; consolidate them.

Fix the mislabeled '5阶段协同流程' (it lists 7 items) and consider moving the 11-agent roster into a reference file to keep the overview lean.

DimensionReasoningScore

Conciseness

Mostly efficient with structured sections and concrete script calls, but contains redundancy (mode overviews repeated under 操作步骤, environment deps duplicated, and a '5阶段协同流程' that actually lists 7 items) that could be tightened.

3 / 5

Actionability

Provides concrete, mostly executable script invocations with explicit parameters (e.g. video_frame_extractor.py --input ... --output ./output/frames --interval 2); minor gaps remain where parameters are placeholders like <旁白数据JSON>.

4 / 5

Workflow Clarity

Clear multi-phase numbered sequences exist for each mode, but batch/output-overwriting operations lack explicit validation/verification checkpoints and feedback loops, capping workflow_clarity at 3 per the rubric.

3 / 5

Progressive Disclosure

Good structure: SKILL.md is an overview with a resource index pointing to real, one-level-deep references (references/*.md, scripts/*.py, assets/* verified to exist); minor organization gaps where inline lists (e.g. the 11-agent roster) could live in a reference.

4 / 5

Total

14

/

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 distinct, naming concrete capabilities and integrated APIs, but it lacks any explicit 'Use when...' trigger guidance, which limits its completeness. Adding a natural-language trigger clause would raise the completeness and trigger_term_quality scores.

Suggestions

Append an explicit 'Use when...' clause, e.g. 'Use when the user needs to create, remix (二创), or analyze videos.'

Add common synonyms/variations users might say (e.g. 视频制作, 剪辑, 短视频, .mp4) to broaden trigger_term coverage.

Keep the concrete API and pipeline enumeration — it is the strongest part of the description.

DimensionReasoningScore

Specificity

Lists multiple concrete actions across three named modes and enumerates integrated APIs (Coze Bot, Edge-TTS, Suno) plus a full pipeline (多智能体协同、素材生成、视频合成), giving comprehensive coverage.

5 / 5

Completeness

Clearly states what the skill does, but provides no explicit 'when should Claude use it' / 'Use when...' trigger guidance, which caps completeness at 3 per the rubric guidelines.

3 / 5

Trigger Term Quality

Contains natural terms a user might say (视频创作、原创创作、视频二创、视频分析) but omits common synonyms/variations and has no explicit 'Use when...' phrasing, so a few natural terms are missing.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (video creation suite with specific APIs and three modes) with distinct triggers and minimal overlap 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
anbeime/skill
Reviewed

Table of Contents

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