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video-producer

视频制作原子能力集——剧本/分镜、素材 slot 与解析、渲染、混音对齐、拼接合成、动效审计、封面。子命令范式,产物文件存在性即 checkpoint。

Quality

77%

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 ./crews/content-producer/skills/expert-video/tools/video-producer/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

85%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.

This is an exceptionally actionable, well-sequenced tool reference: concrete commands, explicit validation gates, and honest failure semantics throughout. Its main weaknesses are inlined per-command detail that should live in reference files for a bundle this size, and some prose/table redundancy that inflates token cost without adding guidance.

Suggestions

Move the exhaustive pip-compose and deck-compose flag documentation into references/pip-compose.md and references/deck-compose.md, keeping only a usage example and the key invariants in SKILL.md.

Trim the final subcommand table rows that merely restate the prose sections (e.g. assemble, pip-compose, deck-compose) to a one-line pointer, or conversely compress the prose and let the table carry the detail.

Consider per-domain reference files (e.g. references/audio.md, references/compose.md) for the stage-by-stage workflows, keeping SKILL.md as the stage map plus common invocations.

DimensionReasoningScore

Conciseness

The body is dense, procedural, and assumes competence — it never explains what ffmpeg, LUFS, or SRT are, and nearly every sentence carries a concrete constraint or path. The deduction is for redundancy: pip-compose and assemble each get long prose treatment and then reappear summarized in the final subcommand table, and some run-on sentences (e.g. the assemble --video-only paragraph) could be tightened without losing information.

4 / 5

Actionability

Guidance is fully executable: copy-paste-ready bash invocations for pip-compose, normalize, burn-srt, duck, denoise, and interp; exact flag semantics with defaults and valid ranges (--size 默认 .22,范围 .1–.5); exit-code contracts (0/1/2); and a complete per-subcommand table of inputs and output artifacts. This matches the 'copy-paste ready commands covering the common cases' anchor.

5 / 5

Workflow Clarity

The multi-stage pipeline (Stage 1–14) is explicitly sequenced, with two gates (GATE A after Stage 5, GATE B after Stage 9), checkpoint semantics ('产物文件存在性即 checkpoint'), dedicated validation commands (visual-plan-check, deck-boundaries, edit-audit with 'status=pass 才交付'), and explicit error-recovery loops ('常规输入错误先自纠' with retry guidance and 旁路条件 that fail loudly rather than degrade silently).

5 / 5

Progressive Disclosure

Section structure is clear and the single reference (references/edit-audit.md) exists and is clearly linked, but nearly all per-command detail is inlined in a ~22 KB SKILL.md: the 12-line pip-compose flag reference, the deck-compose mode matrix, and the full 30-row subcommand table would all sit more appropriately in per-command reference files for a bundle shipping 40 scripts. This fits 'some structure but could be better organized; content that should be separate is inline' rather than the good-structure anchor.

3 / 5

Total

17

/

20

Passed

Description

58%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 gives a concrete, well-scoped inventory of the tool's capabilities but is purely a capability list — it never states when the skill should be invoked, which caps completeness and weakens its trigger value. Adding an explicit 'Use when...' clause with natural user phrasings (剪辑, 字幕, 配音, 成片) would lift it substantially.

Suggestions

Append an explicit trigger clause, e.g. "Use when producing or assembling videos: scripting, storyboarding, rendering, mixing, subtitles, or final delivery checks."

Add natural user-facing synonyms currently missing from the description, such as 剪辑, 字幕, 配音/旁白, and 封面制作, so it matches how users actually phrase these requests.

Consider naming concrete inputs/outputs (e.g. brief.md → video.mp4) to sharpen the 'what' beyond a list of stage nouns.

DimensionReasoningScore

Specificity

The description enumerates several concrete capability areas — "剧本/分镜、素材 slot 与解析、渲染、混音对齐、拼接合成、动效审计、封面" — plus the operating model "子命令范式,产物文件存在性即 checkpoint". These are mostly domain nouns naming pipeline stages rather than explicit actions, and coverage has gaps (no mention of subtitles, voiceover, or denoising), matching the 'several specific actions with minor gaps' anchor rather than comprehensive coverage.

4 / 5

Completeness

The 'what' is clear (a video-production atomic-capability set covering scripting through covers), but there is no 'Use when...' clause or equivalent trigger guidance anywhere in the description. Per the judging guidelines, a missing 'Use when' clause caps completeness at 3, and this is not below that since the capability list is concrete.

3 / 5

Trigger Term Quality

Natural domain keywords are present ("视频制作", "剧本", "渲染", "混音", "封面") but common variations a user would actually say are missing — "剪辑", "字幕", "配音", "降噪" — and no file extensions or synonyms appear. This fits the 'some relevant keywords but missing common variations or synonyms' anchor.

3 / 5

Distinctiveness Conflict Risk

The combination of 混音对齐, 动效审计, and checkpoint-based assembly targets a specific production pipeline niche with mostly distinct triggers; only minor overlap risk with generic video-editing or media-processing skills. It does not reach 5 because the headline "视频制作" alone could collide with other video skills if that is the trigger phrase used.

4 / 5

Total

14

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

TeamWiseFlow/xiaobei

Path

crews/content-producer/skills/expert-video/tools/video-producer/SKILL.md

Reviewed

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