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 yutianxiao6/openreel-studio --skill storyboard-frame-checkgit clone --depth 1 https://github.com/yutianxiao6/openreel-studioWrote 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/yutianxiao6/openreel-studio/storyboard-frame-check)<a href="https://agentmods.dev/skills/yutianxiao6/openreel-studio/storyboard-frame-check"><img src="https://agentmods.dev/badge/skills/yutianxiao6/openreel-studio/storyboard-frame-check/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/yutianxiao6/openreel-studio/storyboard-frame-check"><img src="https://agentmods.dev/badge/skills/yutianxiao6/openreel-studio/storyboard-frame-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00089 | $0.00953 |
| Opus 5 | $0.00044 | $0.00477 |
| Sonnet 5 | $0.00018 | $0.00191 |
| Haiku 4.5 | $0.00009 | $0.00095 |
Grade A, and why
storyboard-frame-check 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 12d 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.
What it actually says
分镜画面合理性检查
以分镜导演视角审查分镜。输出聚焦问题、证据和修改动作，帮助后续更新分镜图、分镜提示词或视频提示词。
检查输入
优先读取用户明确引用的分镜图、分镜节点或故事板节点。用户只说“检查分镜”但没有给图时，先用 node.list 查找分镜、storyboard、shot、frame 相关节点，再用 node.get 读取候选节点详情；需要看画面时使用 vision.view_image 一次附加多张分镜图。
检查时参考：
- 分镜图本身的构图、主体、动作、情绪、空间关系和视觉重点。
- 用户剧情、人物设定、场景设定、目标风格和视频时长。
- 上下游节点的提示词、参考图和当前生成结果。
评分维度
每项按 10 分制评分，分数和问题证据保持一致。
- 叙事是否清晰：观众能否只看分镜就理解事件顺序、动作目标和结果。
- 情绪传达是否准确：角色表情、姿态、光线、色彩和构图是否服务当前情绪。
- 镜头衔接是否自然：景别、机位、动作方向、视线、空间位置和转场是否连贯。
- 视觉重点是否明确：每格是否有清楚主体，背景、道具和文字信息是否抢戏。
- 是否存在冗余镜头：镜头之间是否重复表达同一个信息，是否拖慢节奏。
- 是否符合人物心理变化：角色反应、动作强度和情绪递进是否符合剧情动机。
- 是否具有电影感：构图层次、光影、景别变化、运动潜力和画面张力是否足够。
输出格式
用中文直接给审查结果。先给总评，再给评分表，然后列问题和修改建议。
总评：
{一句话判断这组分镜当前最大问题和最优先修改方向。}
评分：
叙事清晰：{0-10}/10 - {关键依据}
情绪传达：{0-10}/10 - {关键依据}
镜头衔接：{0-10}/10 - {关键依据}
视觉重点：{0-10}/10 - {关键依据}
冗余控制：{0-10}/10 - {关键依据}
人物心理：{0-10}/10 - {关键依据}
电影感：{0-10}/10 - {关键依据}
主要问题：
1. {指出具体分镜、画面区域或镜头段落的问题，以及为什么影响成片。}
2. {继续列问题。}
修改建议：
1. {给出可直接执行的画面修改方案：重排镜头、改景别、改动作、改表情、改构图、改光线或删减镜头。}
2. {继续列建议。}
建议优先级：
P0：{先改的阻塞问题。}
P1：{能明显提升效果的问题。}
P2：{可选优化。}
判断标准
审查要具体到镜头或分镜格。看到问题时说明是哪一格、哪个主体、哪个动作或哪段衔接出了问题。
建议要能直接转成节点修改或提示词修改。优先写“把第 N 格改成……”“删掉第 N 格”“第 N 格从中景改为近景”“第 N 到第 N+1 格用动作方向/视线/遮挡衔接”这类可执行表述。
如果画面证据不足，先说明缺少哪类素材，再给基于现有节点或文字的有限检查结论。
What ships with it
1 file 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.
- 12d ago First seen · 70 lines · 89 tokens per session scan A 5eafaf40b899
storyboard-frame-check is a skill published in the GitHub repository yutianxiao6/openreel-studio (29 stars, last pushed 26d ago), licensed MIT. It adds 89 tokens to every session and 953 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
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