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口播视频剪辑
by
fischerlam
· GitHub ↗
· v1.0.12
· MIT-0
222
Downloads
1
Stars
1
Active Installs
5
Versions
Install in OpenClaw
/install talking-head-editor-zh
Description
面向 talking-head / presenter 场景的 Sparki skill 变体，沿用最新版官方 Sparki 安装、API key、上传和命令说明，同时保留口播场景定位。
Usage Guidance
This skill appears to be a legitimate Sparki-based talking-head video editor: it needs your Sparki API key, will upload videos to Sparki's API (agent-api.sparki.io), and will store config/history under ~/.openclaw. Before installing, verify you trust the Sparki service and are comfortable with videos being uploaded to it. Note two small inconsistencies: the package contains source code (so it's not purely instruction-only) and it reads an optional SPARKI_UPLOAD_TG_LINK env var that isn't listed in the metadata—if you rely on that feature, set it explicitly. Also ensure the required 'uv' binary is trusted on your system.
Capability Analysis
Type: OpenClaw Skill
Name: talking-head-editor-zh
Version: 1.0.12
The skill is a standard CLI wrapper for the Sparki AI video editing service, providing functionality to upload, edit, and download videos. The code in `cli.py` and `client.py` implements a clean, structured interface using `httpx` for network requests and `typer` for the CLI, with no evidence of shell execution, obfuscation, or unauthorized data access. Permissions defined in `SKILL.md` are appropriately restricted to the application's configuration directory and the legitimate service domain (agent-api.sparki.io).
Capability Assessment
Purpose & Capability
Name/description match the code and declared network domain (agent-api.sparki.io). Requiring SPARKI_API_KEY is appropriate for a Sparki client. Declared FS reads/writes map to the config and workspace paths used by the CLI.
Instruction Scope
SKILL.md instructs proactive use for video-editing queries and forbids direct Telegram file uploads (it relies on local file paths or the Telegram upload link). The runtime code reads/writes only the local config, history, and output directories and talks only to Sparki endpoints. However, SKILL.md/code reference an optional SPARKI_UPLOAD_TG_LINK environment variable (used for upload link) that is not listed in requires.env/metadata.
Install Mechanism
The skill was presented as 'instruction-only' with no install spec in the registry summary, but SKILL.md metadata includes an install step ('uv sync') and the package contains Python CLI source files. No external downloads from untrusted URLs are present; the install appears to expect a local 'uv' tool to synchronize files.
Credentials
Only SPARKI_API_KEY is declared as the primary credential and is justified. The code also checks for SPARKI_UPLOAD_TG_LINK (optional) but that env var is not declared in the metadata; otherwise no unrelated secrets or excessive env access are requested.
Persistence & Privilege
always:false and normal autonomous invocation. The skill writes only to its own config and workspace paths ($HOME/.openclaw/config and workspace/sparki/videos) as declared; it does not request system-wide privileges or modify other skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install talking-head-editor-zh - After installation, invoke the skill by name or use
/talking-head-editor-zh - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.12
Improved engagement-oriented positioning with a stronger result-focused summary, one-copy quick start command, prompt templates, and related-skill cross-links while keeping the official shared Sparki core workflow.
v1.0.11
Polished the Chinese copy so this scene skill reads more like a native Chinese product page instead of a structural translation, while keeping the official shared Sparki core workflow.
v1.0.10
Refreshed this Chinese scene skill to align its shared setup, API-key, upload, and command guidance with the latest official sparki-video-editor skill while preserving its scenario-specific positioning.
v1.0.9
Refreshed this Chinese scene skill so its shared setup, API-key, upload, and command guidance now matches the latest official sparki-video-editor skill while preserving scene-specific positioning.
v1.0.8
Published a Chinese-localized scene skill for talking-head video editing, aligned to the official Sparki API domain.
Metadata
Frequently Asked Questions
What is 口播视频剪辑?
面向 talking-head / presenter 场景的 Sparki skill 变体，沿用最新版官方 Sparki 安装、API key、上传和命令说明，同时保留口播场景定位。 It is an AI Agent Skill for Claude Code / OpenClaw, with 222 downloads so far.
How do I install 口播视频剪辑?
Run "/install talking-head-editor-zh" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 口播视频剪辑 free?
Yes, 口播视频剪辑 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 口播视频剪辑 support?
口播视频剪辑 is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux).
Who created 口播视频剪辑?
It is built and maintained by fischerlam (@fischerlam); the current version is v1.0.12.
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