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chengfeng-cut-talking-head

剪辑中文口播原素材:逐词转录、识别口误与重复、生成删词候选、在 Studio 审核后执行可靠物理剪切,并重建剪后字幕。用户说剪口播、处理口误、生成口播基础素材、继续剪口播,或确认卡回传 action=continue_cut / return_cut_review 时使用。不要用于单独安装、单独打开工作台、普通视频编辑或口播分镜成片。

74

Quality

92%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%

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 high-quality, executable multi-stage workflow with strong CAS/revision validation and feedback loops, appropriate one-level reference split, and concrete commands throughout. Its one weakness is conciseness: the §2 rationale and dated incident notes duplicate content already in semantic-deletion.md.

Suggestions

In §2, reduce the inline playback-order rationale and the 2026-07-26 '430→394' incident to a one-line pointer to semantic-deletion.md's '判断之前' section; the reference already carries the full argument.

Move the dated incident notes (2026-07-26) into the reference file or a 'known failure modes' note so the stage overview stays lean and free of inline time-sensitive annotations.

DimensionReasoningScore

Conciseness

Mostly efficient and assumes Claude's competence, but the §2 playback-order rationale and the 2026-07-26 '430→394' incident are restated both inline and in semantic-deletion.md, so some content could be tightened by leaning more on the reference. Inline dated incident notes also add tokens that are not strictly needed in the overview.

2 / 3

Actionability

Fully executable bash with real flags, scripts (ensure-runtime/running/studio, videocut-cli), concrete revision fields, and a copy-paste-ready JSON candidate schema — matches the 'fully executable, copy-paste ready' anchor.

3 / 3

Workflow Clarity

Fixed stage contract (preflight → readback → proposal → CAS → review binding → confirmation → execution → verification) with explicit validation checkpoints (revision matching, readBackVerified, noLongerCut, edit_list_changed_after_confirmation re-display) and error-recovery feedback loops for a destructive/batch operation.

3 / 3

Progressive Disclosure

SKILL.md acts as a stage-orchestration overview with well-signaled one-level-deep references (references/semantic-deletion.md and references/subtitle-correction.md both present in the bundle), and detail appropriately split out; navigation is easy and clearly signaled.

3 / 3

Total

11

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12

Passed

Description

100%

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 concise yet complete: concrete actions, natural triggers, an explicit 'Use when' clause, and clear exclusions that bound its scope. It is written in third person and reads as a tight, well-targeted trigger description.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "逐词转录、识别口误与重复、生成删词候选、…执行可靠物理剪切,并重建剪后字幕" — matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Explicitly answers both what (the action list) and when ("…时使用") with explicit trigger guidance, and adds a negative-scope clause, so it clears the 'Use when…' bar rather than capping at 2.

3 / 3

Trigger Term Quality

Natural trigger phrases a user would say ("剪口播、处理口误、生成口播基础素材、继续剪口播") plus the card action tokens (action=continue_cut / return_cut_review) give good coverage of terms users would actually invoke.

3 / 3

Distinctiveness Conflict Risk

Niche is narrowly defined (Chinese talking-head cut editing) with distinct triggers and explicit exclusions ("不要用于单独安装、单独打开工作台、普通视频编辑或口播分镜成片"), making conflict with other skills unlikely.

3 / 3

Total

12

/

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

relative_links

Relative link issues: 2 suspicious

Warning

Total

15

/

16

Passed

Repository
Agentchengfeng/chengfeng-videocut-skills
Reviewed

Table of Contents

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