by A-cat-with-carrots · Claude Skill · ★ 215
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OnlyShot · 神仙鱼 AI 短剧工业流水线 Claude Skill — 一句话 → 剧本/分镜/分镜图/视频/剪辑 五步 → 可发红果抖音的完整短剧。集成即梦/Seedance，17 失败模式沉淀。
| Stars | 215 |
| Forks | 18 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 54.2240553201884/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-07 |
| Created | 2026-05-05 |
| Platforms | claude-code, cli, python |
| Est. Tokens | ~13k |
These tools work well together with OnlyShot for enhanced workflows:
Looking for a OnlyShot alternative? If you're comparing OnlyShot with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
创意→完整短剧剧本→Seedance 2.0 视频提示词 全链路 Claude Skill：上游写 50-100 集短剧剧本，下游转标准剧本/资产/分镜；含 12 铁律 + 17 模板 + 视听语言·去AI感·人物真实感
10 Claude skills that generate studio-quality AI video prompts for Seedance 2.0 on Higgsfield. Viral hooks, Sa
Claude Code Skill that turns any idea into a cinematic, model-ready video prompt — Sora · Kling · Veo · Seedan
Claude AI skill for cinematic Higgsfield AI prompts — 32 sub-skills covering Seedance 2.5 (omni-reference, vid
做企业 AI 视频项目逼出来的工具包 · 411 prompt · 15 模型 · 7 Claude Skill · 14 篇方法论
Zero-skill cinema. Senior-director prompts on autopilot. A Claude Code Skill for high-quality AI image / video
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OnlyShot is OnlyShot · 神仙鱼 AI 短剧工业流水线 Claude Skill — 一句话 → 剧本/分镜/分镜图/视频/剪辑 五步 → 可发红果抖音的完整短剧。集成即梦/Seedance，17 失败模式沉淀。. It is categorized as a Claude Skill with 215 GitHub stars.
OnlyShot is primarily written in Python. It covers topics such as ai-short-drama, ai-video, anthropic.
You can find installation instructions and usage details in the OnlyShot GitHub repository at github.com/A-cat-with-carrots/OnlyShot. The project has 215 stars and 18 forks, indicating an active community.
OnlyShot is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to OnlyShot on Agent Skills Hub include seedance-prompts-skill, ai-video-generator-claude, ai-shortfilm-prompts. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: