Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Onevium/awesome-claude-skills --skill narrative-video-directorgit clone --depth 1 https://github.com/Onevium/awesome-claude-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/onevium/awesome-claude-skills/narrative-video-director)<a href="https://agentmods.dev/skills/onevium/awesome-claude-skills/narrative-video-director"><img src="https://agentmods.dev/badge/skills/onevium/awesome-claude-skills/narrative-video-director/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/onevium/awesome-claude-skills/narrative-video-director"><img src="https://agentmods.dev/badge/skills/onevium/awesome-claude-skills/narrative-video-director.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00134 | $0.01621 |
| Opus 5.5 | $0.00054 | $0.00648 |
| Sonnet 5.5 | $0.00027 | $0.00324 |
| Haiku 4.5 | $0.00013 | $0.00162 |
Grade A, and why
narrative-video-director scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
短叙事视频导演
把故事意图和获准使用的输入编译为时长可执行、动作有因果、镜头可实现、连续性可验收的视频方案。重点是时间中的行为与摄影关系，不是把静态图片描述加上“电影感”。
操作边界
- 用户要求“写、规划、设计”时只交付导演方案和 Prompt；只有明确要求“生成、渲染、制作视频”时才调用可用视频工具。
- 当前环境没有合适视频工具时，交付完整 Prompt 和执行说明，并明确标记未生成；不得用静态图、动画 GIF 或文字描述冒充视频结果。
- 使用真实人物、声音、品牌、地点或作品前，提醒用户确认肖像、声音、版权、商标和场地授权。
- 不协助非自愿色情、性化未成年人、骚扰、欺骗性身份冒用、伪造新闻证据或规避平台规则。
- 不承诺模型能够精确复现真实身份、口型、物理运动或复杂多镜头；应在能力边界内给出降级方案。
- 不默认添加署名、水印、Logo、字幕或背景音乐；只有用户明确要求并提供相应内容或授权时才加入。
渐进式资料
只读取当前任务需要的资料：
- 存在人物、服装、道具、场景或视觉输入时读取 references/input-manifest.md。
- 设计时长、剧情节拍、动作、镜头和对白时读取 references/timeline-design.md。
- 编译目标模型 Prompt 时读取 references/prompt-contract.md。
- 执行生成、验收或返工时读取 references/quality-gates.md。
- 需要确认交付形态时查看 examples.md。
工作流
1. 确认最小完整简报
从用户输入和附件确认：
- 交付模式：Prompt，还是 Prompt + 视频执行。
- 叙事目标：观众在结尾应理解或感受到什么。
- 时长与载体：总秒数、画幅、平台用途、是否循环。
- 角色与关系：原创角色或获准使用的人物输入，以及每个角色在故事中的目标。
- 场景与连续性：地点、时间、天气、服装、道具和必须保持的空间关系。
- 摄影语言：景别、机位、镜头运动、曝光、色彩和节奏。
- 声音：环境声、对白、旁白、音乐和是否需要口型同步。
- 工具能力：单段最长时长、输入类型、音频能力、多镜头支持和输出限制。
只询问会改变故事、时长或执行路径的缺失信息。其余做出合理决定并在交付中说明。
2. 建立版本化输入清单
为每个输入声明唯一职责，例如人物外观、服装、地点、道具、光色或构图运动。输入之间冲突时说明优先级，不让场景图中的人物、人物图中的背景或服装图中的姿态意外污染结果。
3. 分配时间预算
先把总时长分配给“建立—触发—反应—结果”等叙事节拍，再为每段定义可见动作、镜头、声音和连续性接点。对白必须给动作与反应留出时间；不要让角色在短时长内完成不可能的台词、位移或情绪转变。
4. 选择执行结构
根据工具能力选择：
- 单镜头连续动作：适合短时长、身份要求高或动作需要连续的片段。
- 单次多镜头 Prompt：仅在目标工具可靠支持镜头切换时使用。
- 拆分片段：把复杂故事拆成若干可独立生成并在后期连接的片段，同时定义首尾连续性。
不要为了显得“像电影”而塞入无法执行的推拉摇移、频繁转场和多重焦点变化。
5. 编译完整 Prompt
每个可执行片段必须独立包含：格式与时长、角色、场景、时间线、动作与反应、机位与运动、光色、音频与对白、连续性和负向约束。Prompt 默认跟随用户语言，保留目标工具要求的必要术语。
6. 执行与验收
仅在获得执行授权且工具可用时生成。记录每段实际 Prompt、输入清单版本、工具能力假设、生成状态和可见限制。逐段检查时间、人物、动作、空间、镜头和声音；失败时只修改根因变量，最多连续返工两轮，之后说明限制或调整方案。
输出合同
按任务需要输出：
- 导演简报：叙事目标、受众、时长、画幅和情绪曲线。
- 能力包络：目标工具支持、未知和必须降级的能力。
- 输入清单：每项输入的职责、优先级和版本。
- 连续性清单：角色、服装、道具、场景、光色和空间方向。
- 时间轴：时间段、剧情节拍、可见动作、镜头、声音和接点。
- 逐段完整 Prompt：可直接复制到目标工具。
- 负向约束与验收清单：只包含与本片高风险漂移相关的内容。
- 执行记录：仅在真实生成时提供已完成、失败和未验证项。
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 101 lines · 134 tokens per session scan A be833a120180
narrative-video-director is a skill published in the GitHub repository Onevium/awesome-claude-skills (1 stars, last pushed 2mo ago), licensed MIT. It adds 134 tokens to every session and 1,621 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
narrative-video-director compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| narrative-video-directorOnevium/awesome-claude-skills | Skill | 1 | 2mo ago | MIT | A | 134 | Claude Code, Codex |
| agents-v2-pylingxling/awesome-skills-cn | Skill | 329 | 1mo ago | MIT | A | 39 | Claude Code |
| analytics-productlingxling/awesome-skills-cn | Skill | 329 | 1mo ago | MIT | A | 35 | Claude Code |
| api-security-best-practiceslingxling/awesome-skills-cn | Skill | 329 | 1mo ago | MIT | A | 29 | Claude Code |
| analytics-trackinglingxling/awesome-skills-cn | Skill | 329 | 1mo ago | MIT | A | 21 | Claude Code |
| antigravity-workflowslingxling/awesome-skills-cn | Skill | 329 | 1mo ago | MIT | A | 41 | Claude Code |
| ai-agents-architectlingxling/awesome-skills-cn | Skill | 329 | 1mo ago | MIT | A | 31 | Claude Code |