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 | $0.01442 |
| Opus 5 | $0.00053 | $0.00721 |
| Sonnet 5 | $0.00021 | $0.00288 |
| Haiku 4.5 | $0.00011 | $0.00144 |
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 yesterday.
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 — 5 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 — 120 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。审查与修改是两个工作 单元:本技能只定位问题、影响和必须达到的修订结果,不在同一轮替 owner 改来源。
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 · reviewed_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:故事剧本审查表
- 身份、变体、连续性与图片提示词: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. 冻结范围
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,可复制正文的声音段是否写成正面闭合事件集:无对白镜不靠
No dialogue、无对白关闭语音通道,完整性声明也不枚举本镜没有的层(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、owner、严重 程度和规则等级。不能只说“AI 味”“不够电影感”或给无证据分数。
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:存在结构、内容或限制冲突;PROVISIONAL:关键输入不足,暂时无法完成判断。
What ships with it
17 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 252 B
- assets/finding-template.jsonl 1.2 KB
- assets/supersession-decision.example.json 1.2 KB
- assets/verdict-template.json 685 B
- examples/minimal-findings.jsonl 1.1 KB
- examples/minimal-verdict.json 674 B
- references/anti-template-repair.md 5.3 KB
- references/production-quality-gates.md 20 KB
- references/project-calibration.md 5.8 KB
- references/review-method.md 3.9 KB
- references/rubric-assets-prompts.md 5.4 KB
- references/rubric-source-analysis.md 5.4 KB
- references/rubric-story-script.md 16 KB
- references/rubric-visual-motion.md 12 KB
- references/stage-contract.md 3.1 KB
- scripts/review_check.py 12 KB runs code
- scripts/selftest.py 3.1 KB runs code
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.
- yesterday Changed · +3 lines 174bd5b69576
- 12d 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 (338 stars, last pushed today), licensed MIT. It adds 107 tokens to every session and 1,442 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to short-drama-review, differing in 5 lines, and is treated as a copy.
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