short-drama-novel-analyze

把长篇小说、连载网文或多集散稿拆成可追溯的原著分析：章节索引、改编价值快评、逐章功能提取、剧情单元与节奏聚合、人物与设定归并，最后给出改编价值判定与分集候选，交给...

What this skill does for you

把长篇小说、连载网文或多集散稿拆成可追溯的原著分析：章节索引、改编价值快评、逐章功能提取、剧情单元与节奏聚合、人物与设定归并，最后给出改编价值判定与分集候选，交给 $short-drama-develop 立契约。用户说“导入这本小说”“拆这本书”“分析原著”“这本书能不能改短剧”“先看看值不值得拆”“把长篇拆成分集候选”，或直接给出小说文件路径时使用。只做只读的结构化分析，不写剧本、不建资产、不生成媒体，也不替创作者决定改编方案。

Quoted from the skill description in the pinned source

Who made it

Publisherzenstory-ai

Repositorydrama-skills

Installs380as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the short-drama-novel-analyze skill from zenstory-ai/drama-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: b71cb3ca9343eaf6c0375725ccc9261a4e79021e. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: b71cb3ca9343eaf6c0375725ccc9261a4e79021e. Raw findings: . Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: b71cb3ca9343eaf6c0375725ccc9261a4e79021e. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/zenstory-ai/drama-skills
Pinned skill file: View source at revision
Revision: b71cb3ca9343eaf6c0375725ccc9261a4e79021e
Package hash: sha256:7597a895f0981c85a46146e306a2f623be8b135f0229bfd396498acf26de42f0
Licence: MIT