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Qwen Edit

Checked
digitalsamba·vlatest·ai-ml·MIT

Refine text, rewrite content, and improve clarity using digitalsamba's qwen-edit AI for precise language adjustments.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add digitalsamba/claude-code-video-toolkit --skill qwen-edit -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

digitalsamba

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned digitalsamba/claude-code-video-toolkit at 225c80a1c3.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
225c80a1c3
Manifest
.claude/skills/qwen-edit/SKILL.md
Scanned
4 files, 442 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The qwen-edit skill leverages the Qwen model to perform intelligent text editing and refinement tasks. It allows AI agents to modify, rewrite, or optimize existing content based on specific instructions or context provided by the user.

When to use it

  • Refining draft code snippets for better readability or adhering to specific style guides.
  • Polishing natural language responses to ensure a professional tone and clarity.
  • Correcting grammatical errors or improving sentence structure in generated documents.
  • Adapting existing text to fit new constraints, such as character limits or target audiences.

Key capabilities

  • Text Modification: Directly alters input text based on user directives.
  • Context Awareness: Understands the surrounding context of the text being edited.
  • Model Integration: Utilizes the Qwen large language model for high-quality generation and editing.

Example prompts

  • "Rewrite this paragraph to sound more formal and concise."
  • "Fix the syntax errors in this Python function while keeping the logic intact."
  • "Edit this email draft to make it more persuasive without changing the core message."

Tips & gotchas

Ensure you provide clear, specific instructions regarding the desired outcome, as vague requests may result in generic edits. The skill relies on the underlying Qwen model's training data, so complex domain-specific jargon might require additional context for accurate handling.