dbs-script-flow
Inspects short video verbatim scripts for paragraph transitions, information density, and spoken fluency, pinpointing moments where viewers might swipe away. Used when users request logic continuity checks, script smoothness reviews, or drop-off risk evaluations.
1How It Works & Mechanism
The entire skill consists of fixed three-stage inspection instructions (segmentation → segment-by-segment 3D scanning → risk tiering); it contains no scripts, no templates, and no external dependencies, fulfilling its capabilities purely through prompt orchestration in SKILL.md.
把逐字稿按自然段落(话题切换点)分成若干段,每段标注:
Attributes viewer swipe-aways to three locatable root causes (logical breaks / declining information density / spoken tongue-twisters), ensuring every conclusion maps to specific sentences rather than generic feedback.
**完播率的敌人不是内容差,而是某一个瞬间观众跟不上了。**
Risks are categorized into three tiers (🔴 High / 🟡 Medium / 🟢 Minor suggestion) with mandatory prioritization for high risks, preventing genuine issues from being drowned out by trivial suggestions.
| 🔴 高风险 | 观众大概率在这里划走 | 逻辑断裂、信息密度严重下降 |
The output structure is strictly defined as a rigid scaffold (paragraph structure table → issue list → overall evaluation), and it must proactively ask whether revisions are desired upon completing the inspection.
**不要等用户主动要求**——大部分时候用户做检查的目的就是改稿,主动问省一次往返。
The revision stage uses "markup-based overlay" rather than full-text replacement: strikethroughs indicate deletions, 🆕 indicates additions, ⚠️ indicates self-retracted assessments, and multi-round feedback appends without overwriting.
**永不抹除用户原文**。改稿是在原文上叠加标记,不是用新版本替换旧版本。用户必须能一眼看出:
Explicitly declares output boundaries: does not create, save, or open local files, delivering Markdown strictly within the current conversation.
不得依赖特定笔记软件,不负责创建、保存或打开本地审阅文件;文件渲染与应用打开由项目外部能力处理。
Maintains clear content boundaries: only modifies "how it is said" without altering "what is said"; revisions must preserve the user's authentic tone and repair suggestions must be naturally readable aloud.
不要改用户的论点、案例、数据
2Core Capabilities
4Recommended Governance & Evidence
- SKILL.md: Pure prompt instructions and rule text; executes no scripts and causes no external side effects
5Second-Pass Verification
- [ok] 目录内仅 2 个文件、无脚本可执行 — find skills/dbs-script-flow -type f 仅返回 SKILL.md 与 agents/openai.yaml。
- [ok] 无网络外发 / 无 CLI 依赖 — 两文件全文扫描 URL、curl、wget、npx、bash、python、API_KEY 等 token 零命中。
- [ok] 无本地文件写入 — SKILL.md 明文"不负责创建、保存或打开本地审阅文件",且无 write/save 类指令。
- [ok] 三维度检查模型与风险分级的描述属实 — 原文含「### 第一步:分段」「#### 维度 1:逻辑衔接(前后段之间)」「🔴/🟡/🟢」三档定义,逐条与侦查结论吻合。
- [ok] 主动询问改稿 + 保留原文的改稿机制 — 原文含"**不要等用户主动要求**"与"**永不抹除用户原文**",及 ~~/🆕/⚠️ 三种标记符表。
- [ok] 实战案例真实存在于源码 — SKILL.md 末尾「### 案例:「小红书被告了」逐字稿(2026-04-09)」含两处问题与改法,非侦查编造。
- [ok] skill 定位与 README 一致 — README.md 把 dbs-script-flow 与 dbs-resonate/dbs-spread 并列在"检查文稿共鸣、逻辑与传播性",分工为微观衔接检查。
- [ok] description 与正文能力是否夸大 — "检查段落衔接、信息密度和口播流畅度,定位观众可能划走的位置"三项均在正文有对应的独立检查维度,无越界承诺。
6Verdict & Scenarios
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