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.
npx skills add QwenCloud/qwencloud-ai --skill qwencloud-visiongit clone --depth 1 https://github.com/QwenCloud/qwencloud-aiWrote 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.
[](https://agentmods.dev/skills/qwencloud/qwencloud-ai/qwencloud-vision)<a href="https://agentmods.dev/skills/qwencloud/qwencloud-ai/qwencloud-vision"><img src="https://agentmods.dev/badge/skills/qwencloud/qwencloud-ai/qwencloud-vision/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.
<a href="https://agentmods.dev/skills/qwencloud/qwencloud-ai/qwencloud-vision"><img src="https://agentmods.dev/badge/skills/qwencloud/qwencloud-ai/qwencloud-vision.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00123 | $0.04731 |
| Opus 5 | $0.00062 | $0.02365 |
| Sonnet 5 | $0.00025 | $0.00946 |
| Haiku 4.5 | $0.00012 | $0.00473 |
Grade A, and why
qwencloud-vision 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 10d ago.
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." This is a copy
88% identical to qianwen-vision — 126 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 278 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 Vision (Image & Video Understanding)
Analyze images and videos using Qwen VL and QVQ models. This skill is part of qwencloud/qwencloud-ai.
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/analyze.py |
Image/video understanding, multi-image, thinking mode |
scripts/reason.py |
Visual reasoning (QVQ, chain-of-thought, streaming) |
scripts/ocr.py |
OCR text extraction |
scripts/vision_lib.py |
Shared helpers (base64, upload, streaming) |
references/execution-guide.md |
Fallback: curl, code generation |
references/curl-examples.md |
Curl for base64, multi-image, video, OCR |
references/visual-reasoning.md |
QVQ and thinking mode details |
references/prompt-guide.md |
Query prompt templates by task, thinking mode decision |
references/ocr.md |
OCR parameters and examples |
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.
When the API key is not configured, NEVER ask the user to provide it directly. Instead, help create a .env file with a placeholder (DASHSCOPE_API_KEY=sk-your-key-here) and instruct the user to replace it with their actual key from the QwenCloud Console. Only write the actual key value if the user explicitly requests it.
What ships with it
14 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/agent-compatibility.md 1.7 KB
- references/api-guide.md 15 KB
- references/curl-examples.md 3.1 KB
- references/execution-guide.md 3.1 KB
- references/ocr.md 4.9 KB
- references/prompt-guide.md 2.3 KB
- references/sources.md 824 B
- references/visual-reasoning.md 6.1 KB
- scripts/analyze.py 10 KB runs code
- scripts/gossamer.py 6.2 KB runs code
- scripts/ocr.py 5.6 KB runs code
- scripts/qwencloud_lib.py 33 KB runs code
- scripts/reason.py 6.3 KB runs code
- scripts/vision_lib.py 4.3 KB runs code
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.
- 10d ago First seen · 278 lines · 123 tokens per session scan A c208bd49d5af
qwencloud-vision is a skill published in the GitHub repository QwenCloud/qwencloud-ai (40 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 123 tokens to every session and 4,731 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 88% identical to qianwen-vision, differing in 126 lines, and is treated as a copy.
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