by JuneYaooo · Agent Tool · ★ 80
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 80 |
| Forks | 11 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 60/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-22 |
| Created | 2026-06-11 |
| Platforms | claude-code, python |
| Est. Tokens | ~16k |
Capsule Cinema Claude Opus 视频效果的稳定平替:用 Claude 创作出片,把方法蒸馏成配方,其他模型按配方复刻出类似效果。 Capsule Cinema 是安装到 Coding Agent 中的短视频生产系统。它把栏目结构、分镜规则、生成渠道、质量门和返工经验整理成可迁移、可更新的视频配方。下一期只换主题和素材,不必重新搭建整套流程。 English · 可审分镜 · 自选渠道 · 单镜头返工 · 发布前 QA · 配方打包迁移 跨模型实录 · 为什么需要 · Demo · 复用示例 · Quick Start · 内置配方 · 质量与返工 · 生成渠道 · 社群 Capsule Cinema 面向持续运营账号、制作栏目或商品视频的创作者和团队。它更适合中文短视频生产场景,仓库内置抖音感剧情、商品种草、国风讲解等起步配方。...
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ClipTalk —— 通过对话完成视频剪辑的 AI Agent。说句话,片子就剪好了。ClipTalk — An AI agent that edits videos through conversation. Jus
Agent-friendly Markdown-to-video automation pipeline with reproducible rendering and pluggable media providers
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。
Guardrailed video editing MCP server for AI agents. FFmpeg, Hyperframes, repurposing tools, Python client, and
Cookbook, JSON templates, AI prompts and docs for cutcli — the CapCut / Jianying (剪映) draft CLI. Generate edit
精酿 BrewReel:让 DeepSeek 这类便宜模型也能做出好看的竖版宣传片。写一份产品简报,AI 挑镜头、写文案,一条命令出片。3 种配方、6 个行业、广告法校验,开源可商用。
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: