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资源交付分发
by
JEyeshield
· GitHub ↗
· v1.0.0
· MIT-0
196
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Install in OpenClaw
/install ad-production-delivery-distribution
Description
资源交付分发技能 - 处理素材导出、格式转换和多平台分发
README (SKILL.md)
Delivery Distribution - 资源交付分发
负责素材的导出、格式转换和多平台分发。
Setup
无需额外依赖，TypeScript编译后使用。
When to Use
需要交付广告素材时使用：
- 导出生成完成的素材
- 格式转换（PNG/JPEG/MP4等）
- 多平台分发（社交媒体、广告平台等）
- 素材打包下载
Architecture
delivery-distribution/
├── index.ts # 主入口，处理交付分发
├── package.json # 依赖配置
└── README.md # 详细文档
Core Commands
导出素材
await api.executeAction('delivery-distribution.export', {
materialId: string, // 素材ID
format: string, // 目标格式
quality?: string // 质量设置
});
分发到平台
await api.executeAction('delivery-distribution.distribute', {
materialIds: string[], // 素材ID列表
platform: string, // 目标平台
config?: Record\x3Cstring, any> // 平台配置
});
打包下载
await api.executeAction('delivery-distribution.package', {
materialIds: string[], // 素材ID列表
format: string // 打包格式（zip/rar）
});
响应事件
delivery-distribution.export-complete- 导出完成delivery-distribution.distributed- 分发完成delivery-distribution.package-ready- 打包完成
Usage Guidance
Things to consider before installing:
- The visible code appears coherent and does not request credentials or perform network calls, but the index.ts listing was truncated in your package dump. Obtain and review the complete index.ts to ensure there are no hidden network uploads, credential reads, or external endpoints.
- SKILL.md references api.executeAction names that don't match the registerCommand names in the code; confirm the intended integration surface so the agent will call the real entry points.
- The implementation mostly returns mock /tmp paths and simulates uploads — it does not actually integrate with platform APIs in the visible code. If you need real uploads, expect to add platform-specific authentication and API integration; verify where credentials would be stored and that they're limited in scope.
- Ensure the runtime environment can safely compile/run TypeScript (tsc) and that writing temporary files under /tmp is acceptable and cleaned up — watch for sensitive data being written to world-readable temp locations.
- If you cannot review the remaining source, run the skill in a sandboxed environment and monitor outbound network traffic and file system activity before granting it access to production data or credentials.
Capability Analysis
Type: OpenClaw Skill
Name: ad-production-delivery-distribution
Version: 1.0.0
The skill bundle is a standard implementation for managing advertisement material delivery and distribution. The code in `index.ts` provides logic for creating delivery packages, validating them against platform-specific requirements (e.g., TikTok, Google Ads), and simulating distribution. It uses mock file paths in `/tmp/` and simulated network delays without performing any actual sensitive data exfiltration, unauthorized execution, or suspicious network activity.
Capability Assessment
Purpose & Capability
Name/description (media export, conversion, distribution) align with the included TypeScript implementation: package creation, validation, packaging, and simulated uploads. No unrelated environment variables, binaries, or credentials are requested. Minor mismatch: SKILL.md uses api.executeAction names like 'delivery-distribution.export' while the code registers a 'delivery' command API, which is an inconsistency between documentation and implementation.
Instruction Scope
SKILL.md instructions stay within the stated domain and show API calls for export/distribute/package. The implementation logs, manages in-memory packages, and returns mock file paths (/tmp/...). It does not read arbitrary system files or environment variables in the visible portion. However, the SKILL.md's action names don't match the registerCommand names in the code, and the source file provided in the listing is truncated — the remaining code (not shown) could contain additional instructions (network calls, credential access, or external endpoints).
Install Mechanism
No install spec is present. The package is TypeScript source with no runtime dependencies in package.json; build requires tsc (devDependency). This is low-risk from install perspective. Note: SKILL.md mentions TypeScript compilation but no automated install/build is provided — ensure the runtime environment can compile/run the code.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. The visible code does not attempt to access environment variables or secrets. This is proportionate to its stated purpose as a local packaging/distribution helper.
Persistence & Privilege
always is false and the skill is user-invocable. It registers commands via the skill API (normal). The visible code does not modify other skills or system-wide settings. No elevated privileges are requested in the visible code.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ad-production-delivery-distribution - After installation, invoke the skill by name or use
/ad-production-delivery-distribution - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
初始版本发布
Metadata
Frequently Asked Questions
What is 资源交付分发?
资源交付分发技能 - 处理素材导出、格式转换和多平台分发. It is an AI Agent Skill for Claude Code / OpenClaw, with 196 downloads so far.
How do I install 资源交付分发?
Run "/install ad-production-delivery-distribution" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 资源交付分发 free?
Yes, 资源交付分发 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 资源交付分发 support?
资源交付分发 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 资源交付分发?
It is built and maintained by JEyeshield (@jeyeshield); the current version is v1.0.0.
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