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viral-video-copywriting

专业的爆款短视频文案创作工具。通过对标抖音爆款视频,智能提取视频内容,深度拆解爆款因素,并结合用户需求创作出符合爆款规律的新文案。适用于短视频创作者、运营人员提升内容质量。

57

Quality

66%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

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

Quality

Content

67%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 a well-sequenced, actionable five-step workflow with properly signaled one-level references. Its main weakness is verbosity from repeated principles and an over-specified blank-fill output template.

Suggestions

State the 'learn methodology, not copy content' principle once in step 4 and reference it elsewhere instead of repeating it 3–4 times.

Condense the step-4 output template; replace the large blank-fill scaffolding with a compact required-fields list and one fully filled example.

De-duplicate the analysis dimensions: keep step 2 as a brief pointer to references/analysis-framework.md rather than re-inlining all six dimensions.

DimensionReasoningScore

Conciseness

Content is task-specific with no padding about concepts Claude already knows, but the '学习方法论而非复制内容' principle and the ±5% length rule are each restated 3–4 times, and the blank-fill output template in step 4 is long; it could be tightened.

3 / 5

Actionability

Provides an executable script command, two concrete input methods, specific analysis questions, and a structured output template; minor gap is the hardcoded absolute script path which limits portability.

4 / 5

Workflow Clarity

A clear five-step sequence with a fallback checkpoint in step 1 (auto-extract → manual) and an originality check in step 4; minor validation gaps remain but no destructive/batch cap applies.

4 / 5

Progressive Disclosure

References are one level deep and clearly signaled with read-time hints and a resource index, but the six analysis dimensions are inlined in step 2 while also living in references/analysis-framework.md, a minor duplication.

4 / 5

Total

15

/

20

Passed

Description

66%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 states concrete capabilities and targets a clear niche, but lacks an explicit 'Use when...' trigger clause, capping completeness. Trigger terms are natural but not comprehensive.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user wants to create short-video copy by benchmarking against a viral Douyin/TikTok video.'

Include common synonyms and platforms (e.g. '抖音/TikTok 爆款文案, 短视频脚本, 口播文案') to broaden natural trigger coverage.

Tighten the closing audience sentence into a usage trigger rather than a demographic descriptor.

DimensionReasoningScore

Specificity

Lists several concrete actions — '提取视频内容', '深度拆解爆款因素', '创作...新文案' — covering the core capability chain, though without file-format detail that would push it to 5.

4 / 5

Completeness

The 'what' is clear (extract, dissect, create), but the 'when' is only audience framing ('适用于短视频创作者、运营人员提升内容质量') with no explicit 'Use when...' trigger clause, which caps completeness at 3 per the guideline.

3 / 5

Trigger Term Quality

Natural user-facing terms like '爆款短视频文案', '抖音爆款视频', '短视频创作者' are present, but a few common synonyms/variations are missing so it is not fully comprehensive.

4 / 5

Distinctiveness Conflict Risk

The Douyin viral-short-video-copywriting niche is fairly distinct with limited conflict risk, though a general copywriting skill could still overlap on adjacent triggers.

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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