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 zenstory-ai/oh-story-dsh --skill short-drama-reviewgit clone --depth 1 https://github.com/zenstory-ai/oh-story-dshWrote 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/zenstory-ai/oh-story-dsh/short-drama-review)<a href="https://agentmods.dev/skills/zenstory-ai/oh-story-dsh/short-drama-review"><img src="https://agentmods.dev/badge/skills/zenstory-ai/oh-story-dsh/short-drama-review/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/zenstory-ai/oh-story-dsh/short-drama-review"><img src="https://agentmods.dev/badge/skills/zenstory-ai/oh-story-dsh/short-drama-review.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 | $0.00107 | $0.01453 |
| Opus 5.5 | $0.00043 | $0.00581 |
| Sonnet 5.5 | $0.00021 | $0.00291 |
| Haiku 4.5 | $0.00011 | $0.00145 |
Grade A, and why
short-drama-review 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 today.
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.
This is a copy
100% identical to short-drama-review — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
短剧审查
优先由未参与当前版本创作的 reviewer 执行；条件不允许时可以自检并如实说明。本技能定位问题、影响和 必须达到的修订结果，将修改交回负责技能；审查与修改分开执行。
Quick Start
直接读取用户点名的当前文件。单集审查需要落盘时写 审查/EP001-审查.md；独立文件审查使用
审查/<主题>-审查.md。用户只要口头结论时直接回复，不为“完整”创建审查文件。
审查 Markdown 建议结构：
# EP001 审查
- 范围：剧本、分镜、视频提示词
- 结论：REVISE
- 复核方式：独立 reviewer / 自检
## Blocker · REV-001 · 画面文字未被镜头承载
- 位置：剧本.md / EP001-SC002；分镜.md / SHOT-EP001-004
- 证据：……
- 影响：……
- 修订结果：由 short-drama-storyboard 补入准确文字及可读条件。
- 规则：SHT-01 · structural_invariant
引用只使用文件名、标题 ID、行号或短引文；不建立 sources 声明、哈希、record ID 或第二套状态。
选择审查范围
source_analysisstory_scriptassets_continuityimage_promptsstoryboard_keyframesvideo_promptsproduction_outputsfull_episodedelivery_privacyproject_calibration
只读对应资料，不预加载整个项目：
- 原著分析：原著分析审查表
- 故事、场景、行动与对白，改编是否守住原著人物与主线，已接受节奏档案的核对，开场、结尾与中段的局部检查：故事剧本审查表
- 身份、变体、连续性、时代与图片提示词：资产提示词审查表
- 原文落实、镜头、关键帧与视频运动：视觉运动审查表
- 完整审查方法：审查方法
- 制作端常见缺陷：生产质量门
- 授权生产观察的项目内校准：项目校准
- 模板感、重复手法或 AI 味：反模板修订
- 阶段边界、参考媒体与规则表：阶段契约
工作流
1. 确定范围
写清当前要审哪些文件、章节、镜头或提示词，以及创作者已经明确的限制。目标在审查中发生变化时， 重新读取再下结论。
2. 先查可证明事实
- 五文档的可见 ID、引用和时长是否一致；
- 剧本对白、动作、声音、画面文字是否都有画面/声音承载；
- 人物、地点、道具状态和镜头起止是否连续；
- 提示词是否从准确起点到准确终点；
- 目标模型画音同轨时，声音内容、时序和发声边界是否与来源一致；无对白镜是否交代底声或静默
（
VID-22、VID-23，见 视觉运动审查表）； - 私有输入、凭据、绝对路径或内部流程文字是否泄漏。
缺少必要输入时只停止依赖它的判断，其他问题可以继续汇总。
3. 带证据审内容
每个 finding 包含位置、必要短引文或冲突事实、观众/制作影响、必须达到的修订结果、负责技能、严重
程度、规则等级和 open / closed 状态。“AI 味”“不够电影感”或无证据分数不能替代这些内容。
4. 跨文档综合
剧本事实 -> 视觉设定 -> 镜头职责与边界 -> 冻结关键帧 -> 视频运动 -> 下一状态
优先守住原意、知情时机与连续性，不奖励脱离来源的华丽提示词。
5. 结论与分派
APPROVE：没有阻断问题；APPROVE_WITH_NOTES：只有不阻断的改进；REVISE：存在阻断交付的结构缺陷、经证据确认的内容缺陷或已接受限制冲突；PROVISIONAL：关键输入不足，暂时无法完成判断。
What ships with it
10 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.
- agents/openai.yaml 319 B
- references/anti-template-repair.md 5.2 KB
- references/production-quality-gates.md 19 KB
- references/project-calibration.md 6.0 KB
- references/review-method.md 4.4 KB
- references/rubric-assets-prompts.md 6.2 KB
- references/rubric-source-analysis.md 6.1 KB
- references/rubric-story-script.md 21 KB
- references/rubric-visual-motion.md 12 KB
- references/stage-contract.md 4.1 KB
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.
- today Changed · -4 lines 13b72416eb86
- 12d ago Changed 7e134d029de0
- 29d ago Changed 0ac06648dea5
- 1mo ago Changed · -1 lines 251364f35886
- 1mo ago Changed · +3 lines 174bd5b69576
- 1mo ago First seen · 117 lines · 107 tokens per session scan A 594a11ecb99c
short-drama-review is a skill published in the GitHub repository zenstory-ai/oh-story-dsh (629 stars, last pushed today), licensed MIT. It adds 107 tokens to every session and 1,453 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to short-drama-review, differing in 0 lines, and is treated as a copy.
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