qwencloud-video-generation

qwencloud-video-generation is a skill for Claude Code, Codex from QwenCloud/qwencloud-ai. It costs 124 tokens per session (5,479 once invoked), scanned A, original, Apache-2.0.

A skill for creating videos with Wan video-generation models. Requests run in the background, so the agent submits a job and checks until it finishes.

In plain words
What is it for?
Use it for text-to-video, image-to-video, first-and-last-frame video, reference-to-video, and related multi-shot or extension workflows supported by Wan.
Why use it?
It handles the waiting and mode-specific settings needed to turn prompts or source material into videos.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Good fit Use it for text-to-video, image-to-video, first-and-last-frame video, reference-to-video, and related multi-shot or extension workflows supported by Wan.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/qwencloud/qwencloud-ai/qwencloud-video-generation
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add QwenCloud/qwencloud-ai --skill qwencloud-video-generation
Clone the repo
git clone --depth 1 https://github.com/QwenCloud/qwencloud-ai

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for qwencloud-video-generation

README.md
[![agentmods](https://agentmods.dev/badge/skills/qwencloud/qwencloud-ai/qwencloud-video-generation/github.svg)](https://agentmods.dev/skills/qwencloud/qwencloud-ai/qwencloud-video-generation)
Your own site
<a href="https://agentmods.dev/skills/qwencloud/qwencloud-ai/qwencloud-video-generation"><img src="https://agentmods.dev/badge/skills/qwencloud/qwencloud-ai/qwencloud-video-generation/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for qwencloud-video-generation

Your own site · 80×15
<a href="https://agentmods.dev/skills/qwencloud/qwencloud-ai/qwencloud-video-generation"><img src="https://agentmods.dev/badge/skills/qwencloud/qwencloud-ai/qwencloud-video-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,479 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 4 May 2026
  • Snyk warn 4 May 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 41
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium MCP Rug Pull · line 289
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00124 $0.05479
Opus 5 $0.00062 $0.02740
Sonnet 5 $0.00025 $0.01096
Haiku 4.5 $0.00012 $0.00548

Measured 12d ago against content hash e0edd8072678, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

qwencloud-video-generation scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/gossamer.py, scripts/qwencloud_lib.py, scripts/video_lib.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

compatibility: "Requires Python 3.9+ and curl. Cursor: auto-loaded. Claude Code: read this skill's SKILL.md before first use."
skills/video/qwencloud-video-generation/SKILL.md · 317 lines

How it starts

The opening of the file, as written. The whole thing — 317 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent setup: If your agent doesn't auto-load skills (e.g. Claude Code), see agent-compatibility.md once per session.

Qwen Video Generation

Generate videos using Wan models. All tasks are asynchronous — submit, then poll until completion. This skill is part of qwencloud/qwencloud-ai.

⚠️ Critical Parameter Differences by Mode:

  • kf2v (First+Last Frame): Duration is fixed at 5 seconds — other values will fail. Output is silent only.
  • Resolution parameter varies: t2v/r2v/vace use size (e.g. "1280*720"); i2v/kf2v use resolution (e.g. "720P").

Skill directory

Use this skill's internal files to execute and learn. Load reference files on demand when the default path fails or you need details.

Location Purpose
scripts/video.py Default execution — mode auto-detect, submit, poll, download
references/execution-guide.md Fallback: curl for all 5 modes, code generation
references/request-fields.md Field tables and audio handling by mode
references/workflows.md Duration extensions, multi-shot, VACE pipelines
references/polling-guide.md Polling patterns and timing
references/merge-media.md Concat, trim, audio overlay — ffmpeg/moviepy recipes
references/prompt-guide.md Per-mode prompt formulas, sound description, multi-shot structure
references/examples.md Full script examples per mode
references/sources.md Official documentation URLs
references/agent-compatibility.md Agent self-check: register skills in project config for agents that don't auto-load

Security

NEVER output any API key or credential in plaintext. Always use variable references ($DASHSCOPE_API_KEY in shell, os.environ["DASHSCOPE_API_KEY"] in Python). Any check or detection of credentials must be non-plaintext: report only status (e.g. "set" / "not set", "valid" / "invalid"), never the value. Never display contents of .env or config files that may contain secrets.

Read the full file on GitHub · 317 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 317 lines · 124 tokens per session scan A e0edd8072678

Subscribe to this mod's changes

qwencloud-video-generation is a skill published in the GitHub repository QwenCloud/qwencloud-ai (40 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 124 tokens to every session and 5,479 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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