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anime-forge

AI 生成动画短片生产线:图(关键帧锁确定性)→ 视频(i2v 给活气)→ 后期(剪辑做节奏)。 Use when: 做动画短剧/角色 IP 短片、猫咖日记系列新集、图生视频管线、剧情类 AI 视频。 Not for: 录屏/教程/showcase 视频(用 video-forge)、单张图生成(用 image-generation)、PPT(用 ppt-forge)。 Output: charter+分镜+prompt book+素材账本+EDL 驱动的成片,全程可复现可重渲。

68

Quality

84%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

81%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.

A tightly engineered production-runbook body: no concept teaching, a hard-earned Common Mistakes table, explicit routing constraints, and a well-gated workflow with validation checkpoints and degradation paths. The main weakness is that its most execution-critical materials are referenced but not bundled, so a standalone deployment cannot actually follow the prompt recipes or render pipeline it points to.

Suggestions

Bundle the execution-critical files (prompt-book-v0.1.md with the §0.5/§0.6 recipes, review-protocol-v0.1.md, animatic/edl-v1.mjs, build-animatic.mjs) under references/ and scripts/ so the skill is self-contained, or inline the i2v five-segment prompt template as a minimal copy-paste block.

Trim provenance tokens that don't change guidance — raw dates ('2026-06-10~12'), internal ticket IDs (LL-071, shared-rules §21), and the EP01 origin story — or move them to a short 'evidence log' section at the end.

Fix or relativize the external reference '../.cat-cafe-shared-refs/narrative-clarity.md' in the 剧本结构 section; if the shared-refs path may not exist in the deployed environment, summarize the narrative-clarity checklist inline.

DimensionReasoningScore

Conciseness

The body is dense and explicitly refuses to teach known concepts ("不教'什么是 i2v'"), with every table row carrying a rule or pitfall. Not 5: provenance dates ("2026-06-10~12", "2026-06-12 实测"), internal ticket IDs (LL-071), and origin-story color ("出生:EP01...真金白银的坑") are tokens that could be trimmed without losing guidance; still clearly above anchor 3's 'mostly efficient with some unnecessary explanation'.

4 / 5

Actionability

Concrete, executable fixes appear throughout ("PNG 输入加 -loop 1", "Keep cartoon 句 + Do not realistic 双保险", hard routing table, 30-second four-question acceptance check). Not 5 because the key executable artifacts — prompt recipes and render scripts — live in referenced files (prompt-book-v0.1.md, build-animatic.mjs) that are not present in the bundle, so the body itself contains no copy-paste-ready blocks; well above anchor 3's pseudocode/missing-details level.

4 / 5

Workflow Clarity

The 8-step 流程 is clearly sequenced with each step pointing to its source of truth, and validation is explicit: the animatic checkpoint ("行为刹车:烧贵素材前先用静帧+占位拼粗剪验证节奏"), the 3-failure degradation plan ("3 连败降级预案"), and per-shot acceptance questions form feedback loops appropriate to a batch/expensive generation workflow. Matches the 5 anchor's explicit validation steps with error-recovery loops.

5 / 5

Progressive Disclosure

References are one level deep and clearly signaled at each step ("范例 shot-plan-v0.1.md", "范例+配方 prompt-book-v0.1.md"), with the design principle stated explicitly ("每步指向真相源,不复制"). Not 5 because no bundle files exist — references/, scripts/, and assets/ are absent — so every referenced detail file (prompt-book, review-protocol, edl-v1.mjs, assets/README.md, ../.cat-cafe-shared-refs/narrative-clarity.md) is external and unverifiable, breaking navigation when the skill ships alone; better than anchor 3's buried/inline-content issues.

4 / 5

Total

17

/

20

Passed

Description

87%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.

A strong description: it concisely states the pipeline, deliverables, and reproducibility guarantee, gives an explicit 'Use when' trigger list, and deftly disambiguates against three sibling skills with a 'Not for' clause. Minor room to improve is limited to broader trigger synonym coverage and slightly less jargon-dependent capability wording.

DimensionReasoningScore

Specificity

The description names several concrete pipeline stages ("图(关键帧锁确定性)→ 视频(i2v 给活气)→ 后期(剪辑做节奏)") and concrete deliverables ("charter+分镜+prompt book+素材账本+EDL 驱动的成片"). Not 5 because the stages are stated as roles rather than executable actions and lean on domain jargon (i2v, EDL); clearly above anchor 3, which expects only 1-2 concrete actions.

4 / 5

Completeness

Both what and when are explicit: the pipeline/Output lines answer "what does this do" concretely, and an explicit "Use when:" clause lists concrete trigger phrases (plus a "Not for:" exclusion clause). This matches the 5 anchor exactly; anchor 4's weaker 'when could be more explicit' does not apply.

5 / 5

Trigger Term Quality

"Use when: 做动画短剧/角色 IP 短片、猫咖日记系列新集、图生视频管线、剧情类 AI 视频" covers several natural phrasings a user would actually say. Not 5 because common synonyms and variations (e.g. "动画视频", "anime", English terms) are missing, and "猫咖日记系列" is an internal project name rather than a general user term; well above anchor 3's partial keyword coverage.

4 / 5

Distinctiveness Conflict Risk

"Not for: 录屏/教程/showcase 视频(用 video-forge)、单张图生成(用 image-generation)、PPT(用 ppt-forge)" explicitly routes away from the closest sibling skills, and the niche (generated narrative animation) has distinct triggers. Minimal conflict risk, matching the 5 anchor.

5 / 5

Total

18

/

20

Passed

Validation

81%

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

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

relative_links

Relative link issues: 1 suspicious

Warning

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

13

/

16

Passed

Repository
zts212653/clowder-ai
Reviewed

Table of Contents

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