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Jianying Auto Editor

Name: Jianying Auto Editor
Author: afengzi

作者 afengzi · GitHub ↗ · v0.1.1 · MIT-0

cross-platform ⚠ suspicious

797

总下载

当前安装

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在 OpenClaw 中安装

/install jianying-auto-editor

功能描述

Automate Jianying draft generation from local media plus a cloud editing API. Use when Codex needs to scan a material folder, request editing decisions, and...

使用说明 (SKILL.md)

Jianying Auto Editor

使用这个 skill 时，按下面顺序执行：

读取 examples/config.example.json 同结构的配置文件。
校验 api_base_url、api_key、material_path、template_id、jianying_draft_path 等关键参数。
递归扫描素材目录，只收集常见视频、音频、图片素材。
调用云端 API 创建任务、上报素材索引、获取剪辑计划。
在本地生成剪映草稿输出，不要承诺 GUI 点击或桌面 RPA。
将执行结果写入输出目录，并向云端回传执行报告。

输入参数

至少提供这些字段：

api_base_url
api_key
project_type
aspect_ratio
material_path
template_id
subtitle_mode
music_policy
pace_policy
output_mode
jianying_draft_path
draft_version
export_mode

可选字段：

task_timeout_ms
poll_interval_ms
request_timeout_ms
task_name
webhook_url
extra_metadata

输出结果

默认输出到 jianying_draft_path 指向的目录，包含：

draft-meta.json：任务与导出元信息
draft-content.json：草稿时间线和片段描述
execution-report.json：本地执行报告

依赖要求

Node.js 18 或更高版本
可访问云端 API 的网络环境
本地可写的剪映草稿输出目录

错误处理原则

缺少配置、素材目录不存在、API 调用失败时立即停止并返回非 0 退出码。
本地始终尽量写出 execution-report.json，便于排查。
对云端返回的未知字段保持容忍，只消费已知字段。
明确提示第一版不覆盖复杂 GUI 自动化和全部剪映版本兼容性。

安全使用建议

This skill is coherent with its stated purpose but you should only use it with a cloud endpoint you trust. Before running: (1) replace the example api_base_url (do not use the provided IP unless you control it); (2) keep material_path limited to only the media you intend to share (the skill will send absolute paths, sizes and timestamps to the server); (3) store and handle the api_key securely (it is sent in Authorization headers); (4) run initially in a sandbox or on non-sensitive sample media to validate what the remote API receives and returns; and (5) review execution-report.json and the server endpoint behavior to ensure no unexpected data exfiltration occurs.

功能分析

Type: OpenClaw Skill Name: jianying-auto-editor Version: 0.1.1 The skill scans a local directory for media files and exfiltrates metadata, including absolute file paths, sizes, and timestamps, to a remote API (example endpoint: http://43.137.46.105:8787). While this behavior is documented in scripts/index.js and SKILL.md as part of a 'cloud-driven editing' workflow, sending local file system structures to an external server poses a significant privacy and security risk. No evidence of intentional secret theft or unauthorized remote code execution was found.

能力评估

✓ Purpose & Capability

Name/description promise to scan local media and call a cloud editing API; the manifest, SKILL.md, and scripts/index.js all implement that flow. Required runtime is only Node.js and there are no unrelated credentials or binaries requested. The implemented behavior matches the declared purpose.

ℹ Instruction Scope

The runtime instructions and code recursively scan the provided material_path and POST a materials index and other task data to the cloud API. The data sent includes file metadata such as absolutePath, relativePath, size, modifiedAt, and a generated id — i.e., local file-system structure and timestamps are transmitted. The SKILL.md does not warn explicitly about exposing absolute paths; this is coherent with the advertised cloud-driven workflow but is privacy-sensitive and worth reviewing before running.

✓ Install Mechanism

No install script or third-party downloads; the skill is instruction-plus-node script only and requires Node >=18. Nothing is fetched from arbitrary URLs or installed automatically.

ℹ Credentials

No platform environment variables are required; instead the config file must include api_base_url and api_key, which is proportionate to a cloud-integrated editor. However, the example config uses a raw IP address (http://43.137.46.105:8787) — users should not trust example endpoints and must ensure api_base_url points to a legitimate, trusted service. Be mindful that the api_key will be sent as a Bearer token in requests.

✓ Persistence & Privilege

The skill does not request elevated or persistent system privileges. always is false and there is no self-install behavior modifying other skills or system-wide settings.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install jianying-auto-editor
安装完成后，直接呼叫该 Skill 的名称或使用 /jianying-auto-editor 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v0.1.1

Update default cloud API address to 43.137.46.105 and refresh publish metadata.

v0.1.0

Initial public release.

元数据

Slug jianying-auto-editor

版本 0.1.1

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 2

常见问题