Erduo Broll Loop Engineering

REVIEW · 73
Community indexed

SRT 驱动的双后端 B-roll Agent Skill:自动路由 HyperFrames / Remotion,集成 152 张 Shotcraft 镜头卡

Verified installs0
Stars71
Version1.0.0
Quality77/100 · Strong
Trust73/100 · Sandbox only
Audit85/100 · Safe to try

Supply asset profile

Design and creative production

Design assets, images, video, audio, multimodal media, presentation, and creative production skills.

Browse track

Scenario

Video creation

I need my agent to turn a topic or product into a short video, generate B-roll, write video prompts, and prepare a publish-ready cut.

Agent fit

Claude Code + OpenAI Agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add erduo1998-cell/erduo-broll-loop-engineering

Maintenance

fresh

4d since push

Risk

Safe to try

Quality score needs review

GitHub quality

71

77/100 Quality · 81/100 Trust

Coverage tags

DesignVideo creationdesign-creativevideob-roll

Review notes

Quality score needs review · GitHub adoption: 71 GitHub stars

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Strong
77

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
73

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Safe to try
85

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

TypeScriptCodexClaude CodeCursorOpenAgentSkill CLI

Stars

71 GitHub stars

Repo activity

71 stars, 16 forks

Maintenance

4d since push

License

MIT

Install

npx skills add erduo1998-cell/erduo-broll-loop-engineering

Install safety

standard package or runtime install path

Permission surface

no high-risk permission surface in public metadata

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Quality score needs review
  • GitHub adoption: 71 GitHub stars
  • Stars/forks activity: 71 stars, 16 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Video creation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Turn a brief into a shot plan

Suited agents

TypeScriptCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add erduo1998-cell/erduo-broll-loop-engineering
Policy
review
Human review
yes

Trust and risk

Trust
73/100
Audit
85/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add erduo1998-cell/erduo-broll-loop-engineering

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • Quality score needs review
  • GitHub adoption: 71 GitHub stars

Agent safety v2

69/100 · Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • Quality score needs review

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install erduo1998-cell-erduo-broll-loop-engineering

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Erduo Broll Loop Engineering in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Erduo%20Broll%20Loop%20Engineering%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/erduo1998-cell-erduo-broll-loop-engineering/install
Install command: npx skills add erduo1998-cell/erduo-broll-loop-engineering
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use Erduo Broll Loop Engineering for this task. Review https://www.openagentskill.com/api/skills/erduo1998-cell-erduo-broll-loop-engineering/install, then install with: npx skills add erduo1998-cell/erduo-broll-loop-engineering

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

79/100

Video creation

Platforms

TypeScript, Claude Code, OpenAI Agents

Audit report

Safe to try · 85/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Companion skill for Video creation

Shortlist this skill and compare it with close alternatives before production adoption.

79
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

Video creation

Trust label

Strong shortlist

Install path

Command ready

Use when

  • Video creation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 77/100 quality profile
  • 11 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Video creation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

73
OpenAgentSkill Trust Score

GitHub adoption

CHECK

71 GitHub stars

Stars/forks activity

CHECK

71 stars, 16 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

4d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Quality score needs review
  • GitHub adoption: 71 GitHub stars
  • Stars/forks activity: 71 stars, 16 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

77
GitHub stars
71
Freshness
4d ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

<div align="center">

# Erduo B-roll Loop Engineering

**给完整原始 SRT 与 design,Agent 自动完成原创分镜、素材、动画、逐镜直出与完整预览;整条 Master 按需生成。**

[![Version](https://img.shields.io/badge/version-1.0.1-c87842)](CHANGELOG.md) [![Platform](https://img.shields.io/badge/platform-macOS-17120e)](SUPPORT-MATRIX.md) [![Hosts](https://img.shields.io/badge/hosts-Codex%20%7C%20Claude%20Code-c87842)](#支持范围) [![License](https://img.shields.io/badge/license-MIT-17120e)](LICENSE)

**简体中文** · [English](README.en.md) · [日本語](README.ja.md) · [한국어](README.ko.md) · [繁體中文](README.zh-TW.md)

[看成片](#40-秒真实成片) · [看操作](#四步完成) · [安装](#安装) · [真实边界](#真实边界) · [支持范围](#支持范围)

</div>

## 40 秒真实成片

<p align="center"> <img src="docs/images/demos/homepage-showcase.gif" alt="Erduo B-roll Loop Engineering 40 秒真实成片:SRT 输入、语义分镜、素材融合、双后端构建与 Master 交付" width="100%"> </p>

> README 中是完整成片的轻量 GIF 版。原始 Master 为 3840 × 2160、30 fps、40 秒;它展示真实视觉能力,不代表所有输入都会得到相同画面,也不构成 HyperFrames 与 Remotion 的视觉一致性保证。

## 四步完成

<p align="center"> <img src="docs/images/demos/quick-start.gif" alt="安装 Skill、把 SRT 交给 Agent、批准正式渲染的 HyperFrames 动画演示" width="100%"> </p>

| 01 一次安装 | 02 一句话开工 | 03 锁定视觉 | 04 批准成片 | | --- | --- | --- | --- | | 安装或升级时完成深度环境检查 | 拖入原始 SRT 与 design;可附已剪视频和品牌素材 | 先看三类样片和 5 镜头 canary,逐镜选择 | canary 通过后才做全片,再批准完整预览 |

最短提示词:

```text 使用 erduo-broll-loop-engineering,把这份原始 SRT 与 design 做成 B-roll。 先持续完成 5 镜头 canary,再停下让我逐镜选择;我没有在至少 3/5 镜选择本版前,不得启动全片。完整预览再由我批准交付。 ```

## 它替你完成什么

| 你交给它 | Agent 完成 | 你收到 | | --- | --- | --- | | 原始 SRT 与原始 design;可选口播视频、Logo、截图和品牌要求 | truth/creativeProposal 分镜、三类样片、章节创作闭环、逐镜直渲染与预览装配 | 可编辑源码、逐镜 6 格检查图、验证后的 shot 文件与完整预览;可选 `master.mp4` |

- 时间严格锚定 SRT,不按“一句字幕配一个镜头”机械切片。 - v1.0.1 生产默认使用 HyperFrames;Remotion 只在明确指定或 canary 中使用,`auto` 为实验模式,必须显式选择。 - Director 负责整片表达,Assets 负责素材,多名 Builder 分担镜头;每名 Builder 只接收自己的任务和必要上下文。 - Director 默认设计约 5–12 秒的完整语义镜头;Planner 再按连续性、后端、素材和复杂度把多个短镜头聚合给同一 Builder,不让“一个短镜头”变成“一个 Agent”。 - Lead Builder 先完成开头、信息密集段和后段三类真样片、signature motion、素材融合能力与能力索引;随后先做 5 镜头 canary,用户未选择我方至少 3/5

Platform compatibility

typescriptFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 18, 2026
Published
Aug 18, 2026

Frameworks & tools

TypeScript

Decision snapshot

Companion skill

79
Ready
Shortlist
Stage

recent repository activity

Audit

Install review

Install and adoption review

85
Safe to try
Security
90/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for Erduo Broll Loop Engineering, ready for a manual X post.

Curator note
Erduo Broll Loop Engineering: A SRT-driven B-roll generation agent skill that auto-routes between HyperFrames and Remotion,...

71 stars

https://www.openagentskill.com/skills/erduo1998-cell-erduo-broll-loop-engineering?ref=x
Open X draft
Optional reply with install command
Listing + install path for Erduo Broll Loop Engineering:
https://www.openagentskill.com/skills/erduo1998-cell-erduo-broll-loop-engineering?ref=x

Install: npx skills add erduo1998-cell/erduo-broll-loop-engineering

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to erduo1998-cell but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/erduo1998-cell-erduo-broll-loop-engineering?metric=listed&label=Listed)](https://www.openagentskill.com/skills/erduo1998-cell-erduo-broll-loop-engineering)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/erduo1998-cell-erduo-broll-loop-engineering?metric=trust&label=Trust)](https://www.openagentskill.com/skills/erduo1998-cell-erduo-broll-loop-engineering)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/erduo1998-cell-erduo-broll-loop-engineering?metric=audit&label=Audit)](https://www.openagentskill.com/skills/erduo1998-cell-erduo-broll-loop-engineering/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/erduo1998-cell-erduo-broll-loop-engineering?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/erduo1998-cell-erduo-broll-loop-engineering)

Author

E

erduo1998-cell

@erduo1998-cell

Health signals

GitHub stars
71
Quality score
48/100
Last GitHub push
Aug 18, 2026
Framework hints
1
OpenAgentSkill views
11
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

73
  • GitHub adoption71 GitHub starsCHECK
  • Stars/forks activity71 stars, 16 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance4d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS