CtrlK
BlogDocsLog inGet started
Tessl Logo

video-creation-pro

10大智能体协同的商品视频创作系统,全流程质量闭环(创作→质检→反馈迭代),强制使用COZE视频大模型API进行视频合成,彻底移除本地依赖包逻辑,适用于智能硬件、美妆护肤、家居家电等多品类商品视频创作

46

Quality

48%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

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

Quality

Content

47%

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

The content is well-sequenced with excellent validation/feedback loops, and offers specific parameter guidance, but it is severely over-repeated and lacks executable API code. Progressive disclosure is undermined by inline bloat and orphaned bundle files.

Suggestions

Collapse the repeated COZE-API / no-local-dependency mandates into a single authoritative '核心原则' section and reference it from each step instead of restating it ~30 times.

Move the per-agent role/input/output specs (which duplicate agent_specs.md) out of the body and link to agent_specs.md, keeping only the orchestration sequence inline.

Reconcile the bundle: either reference and use video_specs.md, quality_standards.md, and the scripts/ files, or remove them; resolve the contradiction between '必要脚本:无' and the present scripts.

DimensionReasoningScore

Conciseness

The ~340-line body is heavily padded: the same constraints ('强制使用COZE视频大模型API', '无本地依赖包调用', '移除本地依赖包逻辑') are repeated verbatim across nearly every step, far beyond 'some' unnecessary explanation.

1 / 3

Actionability

It gives concrete parameter-level guidance (1080P, 25fps, MP4, transitions 0.3-0.5s, retry ≤3, timeout 10s, shot counts per duration), but provides no actual executable COZE API call code or request format, so it is specific yet not copy-paste ready.

2 / 3

Workflow Clarity

Ten steps are explicitly sequenced with a stated flow architecture, parallel/sequential coordination rules, and strong validation/feedback loops: the QA agent gates each stage, rejects non-conforming output, and a retry mechanism (≤3 retries, 10s timeout) provides error recovery.

3 / 3

Progressive Disclosure

The body links six real one-level reference files with clear signaling, but carries heavy inline content that overlaps agent_specs.md, and leaves bundle files orphaned: four reference files and both scripts (image_quality_checker.py, video_composer.py) are never referenced despite '必要脚本:无'.

2 / 3

Total

8

/

12

Passed

Description

50%

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 conveys the system's purpose and constraints but is written as internal architecture (agents, API, removed dependencies) rather than user-facing triggers. It states "what" but lacks an explicit "when to use" clause, capping completeness at 2.

Suggestions

Rewrite the description in third person around concrete user-facing actions (e.g. 'Creates product marketing videos from product info...') and drop internal implementation language like '移除本地依赖包逻辑' and 'COZE视频大模型API' from the lead.

Add an explicit trigger clause: 'Use when the user wants to create short product videos for smart hardware, beauty, or home appliances.'

Lead with natural keywords users would say ('商品视频', '产品短视频', '带货视频') instead of '全流程质量闭环' jargon.

DimensionReasoningScore

Specificity

It names the domain ("商品视频创作系统") and some concrete actions ("创作→质检→反馈迭代", "视频合成"), plus target categories, but is dominated by internal architecture framing rather than a comprehensive list of concrete user-facing actions.

2 / 3

Completeness

It clearly states what the skill does, but provides no "Use when..." clause or equivalent explicit trigger guidance; applicability is only implied via "适用于...多品类商品视频创作", which caps completeness at 2 per the rubric.

2 / 3

Trigger Term Quality

Relevant terms like "商品视频创作", "视频合成", and category names appear, but they are buried under technical jargon a user would not naturally say ("全流程质量闭环", "COZE视频大模型API", "彻底移除本地依赖包逻辑").

2 / 3

Distinctiveness Conflict Risk

The product-video niche with COZE API is somewhat specific, but the description leans on implementation details rather than crisp user triggers, so it could still overlap with general video-creation skills.

2 / 3

Total

8

/

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

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.