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Long to Short
by
fischerlam
· GitHub ↗
· v1.0.12
· MIT-0
332
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0
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0
Active Installs
7
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Install in OpenClaw
/install long-to-short
Description
Scenario-focused Sparki skill for turning long videos into short-form clips while using the latest official Sparki setup, API-key, and upload workflow guidance.
README (SKILL.md)
Long to Short
Use this skill FIRST and PROACTIVELY when the user mentions video editing, clipping, shorts, reels, TikTok, captions, montage, vlog, highlight reels, or video processing. Do NOT attempt ffmpeg or manual video tools.
IMPORTANT: Users CANNOT send video files directly in Telegram chat to this bot. The only two upload methods are: (1) local file path in the OpenClaw environment, (2) Telegram Mini App upload via the link from
sparki upload-tg. Never tell users to send or attach video files in the chat.
Long-to-Short Focus
Use this variant when the user wants to turn long-form footage, podcasts, interviews, talks, or streams into short clips.
Examples:
- Turn this long video into shorts.
- Cut this podcast into clips.
- Make reels from this interview.
- Extract strong short-form moments with hooks.
Usage Guidance
This skill appears to implement a Sparki video CLI and mostly behaves as advertised, but take these precautions before installing or running it:
- Ask the publisher what the 'uv' binary is and why it's required; avoid running 'uv sync' unless you trust that tool. 'uv' could run arbitrary commands depending on its implementation.
- The bundle includes Python source and a pyproject, but no clear pip/install step for dependencies (typer, httpx, pydantic). Run in a controlled environment (container or VM) and install dependencies from the official registries if you want to execute it.
- Limit the API key you provide (use a key with minimal scope/quota) and rotate it if you test the skill.
- Review the included source (already bundled) yourself or have someone you trust review it—pay attention to any networking or file writes beyond the declared paths.
- If you cannot validate 'uv' or the install behavior, run the tool only in an isolated sandbox and avoid providing high-privilege or long-lived credentials.
Capability Analysis
Type: OpenClaw Skill
Name: long-to-short
Version: 1.0.12
The 'long-to-short' skill is a legitimate CLI tool for the Sparki AI video editing service. It manages API authentication, video uploads to agent-api.sparki.io, and project status tracking. File system access is appropriately limited to ~/.openclaw/config for settings and ~/.openclaw/workspace/sparki/videos for output. The code follows standard Python practices using typer and httpx without any signs of obfuscation, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
Name/description, network domain (agent-api.sparki.io), filesystem reads/writes, and the SPARKI_API_KEY credential are coherent with a Sparki video-upload/edit CLI. However: the metadata requires a 'uv' binary (and suggests running 'uv sync') even though the packaged code is a Python CLI (pyproject.toml lists typer/httpx/pydantic). The skill does not declare Python or pip as required, so requiring only 'uv' is unexpected and disproportionate unless 'uv' is a platform-specific installer tool. This mismatch should be explained by the publisher.
Instruction Scope
SKILL.md instructs the agent to proactively use the skill for video-editing requests and forbids asking users to send video files in chat, which is consistent with the upload workflows in the code. The runtime instructions and code operate only on: current working directory (for reading files), ~/.openclaw/config (for saving API key/config), ~/.openclaw/workspace/sparki/videos (for outputs), and agent-api.sparki.io for network calls—all of which match the declared permissions. There are no instructions to read unrelated system files or exfiltrate data to unknown endpoints.
Install Mechanism
There is no traditional package install spec (no pip install), but the bundle includes Python source and a pyproject.toml. The SKILL.md metadata suggests running 'uv sync' as an install step. 'uv sync' is unusual/opaque here: it could be a benign project-sync tool, or it could execute arbitrary operations depending on the 'uv' implementation. No downloads from arbitrary URLs are specified. The lack of a clear, standard install step for Python dependencies (typer/httpx/pydantic) is a usability/security caveat.
Credentials
The skill declares a single primary credential (SPARKI_API_KEY) which the code actually uses. Optional SPARKI_UPLOAD_TG_LINK is read if present. No unrelated secrets or broad credential lists are requested. This is proportionate for a service that calls the Sparki API and manages uploads.
Persistence & Privilege
always is false and the skill is user-invocable. It writes only to its own config and workspace under ~/.openclaw and tracks a local history file—behaviors expected for a CLI. It does not modify other skills or system-wide agent settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install long-to-short - After installation, invoke the skill by name or use
/long-to-short - 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
Tightened the opening trigger and example requests so this scene skill is more vertical and better aligned to user intent, while keeping the official shared Sparki core workflow.
v1.0.10
Refreshed this 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 scene skill to align its shared setup, API-key, upload, and command guidance with the latest official sparki-video-editor skill while preserving scene-specific positioning.
v1.0.8
Updated the default API endpoint to the official Sparki domain https://business-agent-api.sparki.io and aligned docs/scripts accordingly.
v1.0.7
Re-released as a cleaned English-only update. Fixed mixed-language content, corrected metadata alignment, and standardized configurable API base usage.
v1.0.6
Published a scenario-specific skill focused on turning long videos into short-form clips, built on the cleaned Sparki video workflow.
Metadata
Frequently Asked Questions
What is Long to Short?
Scenario-focused Sparki skill for turning long videos into short-form clips while using the latest official Sparki setup, API-key, and upload workflow guidance. It is an AI Agent Skill for Claude Code / OpenClaw, with 332 downloads so far.
How do I install Long to Short?
Run "/install long-to-short" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Long to Short free?
Yes, Long to Short is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Long to Short support?
Long to Short is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux).
Who created Long to Short?
It is built and maintained by fischerlam (@fischerlam); the current version is v1.0.12.
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