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Agent skill

Qianwen Vision

by QianWen-AI in QianWen-AI/qianwen-ai

Understand images and videos with Qwen vision models. An agent skill from QianWen-AI/qianwen-ai.

Apache-2.0Auto-check: notesMedia & Creative

Install Qianwen Vision

skills CLI
$ npx skills add QianWen-AI/qianwen-ai --skill qianwen-vision -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install QianWen-AI/qianwen-ai qianwen-vision --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/QianWen-AI/qianwen-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/vision/qianwen-vision .claude/skills/qianwen-vision && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
qianwen-vision
GitHub stars
105
Token cost
~4.9k tokens
SKILL.md length
1,956 words
Files
18 (incl. scripts, references)
Skills in repo
11
Repo updated
First seen
Licence
Apache-2.0

At a glance

Understand images and videos with Qwen vision models. An agent skill from QianWen-AI/qianwen-ai.

  • Works in 3 steps: User specified a model → use directly. → Consult the qianwen-model-selector skill… → No signal, clear task → use the default…
  • : user wants to analyze
  • SKILL.md covers Skill directory, Security, Key Compatibility and Model Selection, plus 10 more sections
  • Runs Python scripts from its folder; calls python3, python and pip; reaches qianwenai.com and help-static-aliyun-doc.aliyuncs.com; needs DASHSCOPE_API_KEY and QIANWEN_API_KEY

What it does

Qianwen Vision is an agent skill from QianWen-AI/qianwen-ai. Understand images and videos with Qwen vision models. TRIGGER when: user wants to analyze, describe, or extract information from images or videos, OCR text extraction, chart/table reading, visual reasoning, multi-image comparison, screenshot understanding, video comprehension, or explicitly invokes this skill by name (e.g. use qianwen-vision). DO NOT TRIGGER when: user wants to generate/create images (use qianwen-image-generation), generate videos (use qianwen-video-generation), text-only tasks without visual…

Its SKILL.md is about 4.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 22 other files, including scripts and reference files (for example `cdn/config/qianwen-token-plan-config.json`, `cdn/config/qianwen-vision-config.json` and `cdn/references/qianwen-token-plan-models.md`). Compatibility notes: Requires Python 3.9+ and curl. Cursor: auto-loaded. Claude Code: read this skill's SKILL.md before first use.

It sits in Media & Creative, covering AI video generation, Computer vision and Image generation. It works with Qwen. The repository describes itself as: 将 QianWen 的全套 AI 技能折叠进你的 Agent 里，你提需求就行。 The licence is Apache-2.0.

When your agent uses it

  • : user wants to analyze
  • Extract information from images
  • OCR text extraction
  • Chart/table reading

Example prompts

  • “/qianwen-vision”

Requirements

  • Python 3
  • A credential in DASHSCOPE_API_KEY
  • A credential in QIANWEN_API_KEY
  • Compatibility (from SKILL.md): Requires Python 3.9+ and curl. Cursor: auto-loaded. Claude Code: read this skill's SKILL.md before first use.

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. User specified a model → use directly.
  2. Consult the qianwen-model-selector skill when model choice depends on requirement, scenario, or pricing.
  3. No signal, clear task → use the default and task-specific alternatives from the model catalog.

What it can do on your machine

Read from SKILL.md and the folder at commit 11b1805. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 4 files in scripts/ (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • python
    • pip
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • qianwenai.com
    • help-static-aliyun-doc.aliyuncs.com

    Also links to:

    • platform.qianwenai.com
    • alioth.alicdn.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • DASHSCOPE_API_KEY
    • QIANWEN_API_KEY
    • QWEN_TMP_OSS_AK_SECRET
    • OSS_ACCESS_KEY_ID
    • OSS_ACCESS_KEY_SECRET

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires Python 3.9+ and curl. Cursor: auto-loaded. Claude Code: read this skill's SKILL.md before first use.

    From compatibility in the SKILL.md frontmatter.

Context cost

Qianwen Vision loads about 4.9k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 141 tokens; SKILL.md has 1,956 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~141
When it runs · the whole SKILL.md, loaded when a task matches
~4.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~13k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:31
    er the value. Never display contents of `.env` or config files that may contain secrets.
  • NoteMentions a .env fileSKILL.md:33
    e it directly.** Instead, help create a `.env` file with a placeholder (`DASHSCOPE_API_KEY=sk-your-key-here`) and instru
  • NoteMentions a .env fileSKILL.md:83
    DASHSCOPE_API_KEY`/`QIANWEN_API_KEY` in `.env`. Skills may be installed independently.
  • NoteMentions a .env fileSKILL.md:172
    rm.qianwenai.com/home/api-keys); add to `.env`: `echo 'DASHSCOPE_API_KEY=sk-...' >> .env`; or run **qianwen-ops-auth** i
  • NoteMentions a .env fileSKILL.md:194
    SS_BUCKET` and `QWEN_TMP_OSS_REGION` in `.env`, install `pip install alibabacloud-oss-v2`, and provide credentials via `

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from QianWen-AI/qianwen-ai at commit 11b1805, republished under its Apache-2.0 licence (© QianWen-AI). 1,956 words, ~4,903 tokens.

Download SKILL.mdSave it as .claude/skills/qianwen-vision/SKILL.md (or your agent's skills folder). This skill also uses 17 other files; get the full folder from GitHub.
name
qianwen-vision
description
Understand images and videos with Qwen vision models. TRIGGER when: user wants to analyze, describe, or extract information from images or videos, OCR text extraction, chart/table reading, visual reasoning, multi-image comparison, screenshot understanding, video comprehension, or explicitly invokes this skill by name (e.g. use qianwen-vision). DO NOT TRIGGER when: user wants to generate/create images (use qianwen-image-generation), generate videos (use qianwen-video-generation), text-only tasks without visual input, or non-Qwen vision tasks.
compatibility
Requires Python 3.9+ and curl. Cursor: auto-loaded. Claude Code: read this skill's SKILL.md before first use.

Qwen Vision (Image & Video Understanding)

Analyze images and videos using Qwen VL and QVQ models. This skill is part of QianWen-AI/qianwen-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.

LocationPurpose
scripts/analyze.pyImage/video understanding, multi-image, thinking mode
scripts/reason.pyVisual reasoning (QVQ, chain-of-thought, streaming)
scripts/ocr.pyOCR text extraction
scripts/vision_lib.pyShared helpers (base64, upload, streaming)
references/execution-guide.mdFallback: curl, code generation
references/curl-examples.mdCurl for base64, multi-image, video, OCR
references/visual-reasoning.mdQVQ and thinking mode details
references/prompt-guide.mdQuery prompt templates by task, thinking mode decision
references/ocr.mdOCR parameters and examples
references/sources.mdOfficial documentation URLs

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 QianWen Console. Only write the actual key value if the user explicitly requests it.

Key Compatibility

Both PAYG (sk-ws-...; legacy sk-...) and Token Plan (sk-sp-...) keys are supported. Detect the API key type without exposing the Key:

bash
python3 -c "
import sys; sys.path.insert(0, 'scripts')
from qianwen_lib import detect_api_key_type
print(detect_api_key_type('scripts/qianwen_lib.py'))
"
OutputMeaning
token-planToken Plan key — use only models from the Token Plan catalog below.
paygPay-as-you-go key — full model catalog available.
not-setNo key configured.

For Token Plan, fetch and read the current Token Plan model catalog, then use an exact listed vision-capable model. If CDN access fails, use the local fallback.

Token Plan supports only specific models — use exactly a model from the references above; do not guess or probe model availability. For PAYG, continue below.

Token Plan users: Use the Qwen vision model catalog below for current compatible substitutes when a task default is not on Token Plan.

Model Selection

Before selecting, recommending, or defaulting a model, fetch and read the current Qwen vision model catalog. It contains the model list, basic model information, task recommendations, compatibility notes, and defaults. If CDN access fails, use the local fallback.

  1. User specified a model → use directly.
  2. Consult the qianwen-model-selector skill when model choice depends on requirement, scenario, or pricing.
  3. No signal, clear task → use the default and task-specific alternatives from the model catalog.

⚠️ Important: The model catalog is a point-in-time snapshot and may be outdated. Model availability changes frequently. Always check the official model list for the authoritative, up-to-date catalog before making model decisions.

Model details: For more information about a specific model, direct the user to https://www.qianwenai.com/models/<model-name>. Replace <model-name> with the exact model ID; never modify or guess it.

Dynamic model queries: If the qianwen-model-selector skill or QianWen CLI (qianwen models info <model>) is available, use it for real-time model data. CLI requires authentication — see the qianwen-usage skill for login flow.

Execution

Prerequisites
  • API Key: Use the non-plaintext detector in Key Compatibility; do not replace it with a variable-presence check. If no Key is found, use qianwen-ops-auth when available or guide the user to configure DASHSCOPE_API_KEY/QIANWEN_API_KEY in .env. Skills may be installed independently.
  • Python 3.9+ (stdlib only, no pip install needed)
Environment Check

Before first execution, verify Python is available:

bash
python3 --version  # must be 3.9+

If python3 is not found, try python --version or py -3 --version. If Python is unavailable or below 3.9, skip to Path 2 (curl) in execution-guide.md.

Default: Run Script

Script path: Scripts are in the scripts/ subdirectory of this skill's directory (the directory containing this SKILL.md). You MUST first locate this skill's installation directory, then ALWAYS use the full absolute path to execute scripts. Do NOT assume scripts are in the current working directory. Do NOT use cd to switch directories before execution. Shared infrastructure lives in scripts/vision_lib.py.

Execution note: Run all scripts in the foreground — wait for stdout; do not background.

Discovery: Run python3 <this-skill-dir>/scripts/analyze.py --help (or reason.py, ocr.py) first to see all available arguments.

ScriptPurposeDefault Model
scripts/analyze.pyImage understanding, multi-image, video, thinking mode, high-resRead the current default from the model catalog above
scripts/reason.pyVisual reasoning with chain-of-thought, video reasoning (always streaming)Read the current default from the model catalog above
scripts/ocr.pyOCR text extraction from documents, receipts, tablesRead the current default from the model catalog above

Input type fields (use exactly one in --request JSON):

FieldUse forExample
"image"Single image (URL or local path)"image": "photo.jpg"
"images"Multi-image comparison (array)"images": ["a.jpg", "b.jpg"]
"video"Video file (URL or local path)"video": "clip.mp4"
"video_frames"Video as frame array"video_frames": ["f1.jpg", "f2.jpg"]

⚠️ Common mistake: Do NOT use "image" for video files — use "video" instead.

bash
# Image analysis
python3 <this-skill-dir>/scripts/analyze.py \
  --request '{"prompt":"What is in this image?","image":"https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"}' \
  --output output/qianwen-vision/result.json --print-response

# Video analysis (local file — add --upload-files for files >= 7 MB)
python3 <this-skill-dir>/scripts/analyze.py \
  --request '{"prompt":"Describe what happens in this video","video":"clip.mp4"}' \
  --upload-files --print-response

python3 <this-skill-dir>/scripts/reason.py \
  --request '{"prompt":"Solve this math problem step by step","image":"problem.png"}' \
  --print-response

python3 <this-skill-dir>/scripts/ocr.py \
  --request '{"image":"invoice.jpg"}' \
  --print-response
ArgumentDescription
--request '{...}'JSON request body
--file path.jsonLoad request from file
--output pathSave response JSON to path
--print-responsePrint response to stdout
--streamEnable streaming (auto for thinking/QVQ)
--upload-filesUpload local files to temp storage (for files > 7 MB)
--model IDOverride model (default per script: see table above)
--schema path.jsonJSON Schema for structured extraction

Model priority: --model CLI flag > "model" field in --request JSON > built-in default.

Verify Result
  • Exit code 0 + output contains valid JSON with choices field → success
  • Non-zero exit, HTTP error, empty response, or JSON with "code"/"message" error → fail
  • Post-execution check: When --output is used, verify the response JSON file exists and contains expected content
  • MANDATORY — stderr signal check: After confirming the result, scan the command's stderr output for [ACTION_REQUIRED] or [UPDATE_AVAILABLE]. If either signal is present, you MUST follow the instructions in Update Check below before responding to the user.
On Failure

If scripts fail, match the error output against the diagnostic table below to determine the resolution. If no match, read execution-guide.md for alternative paths: curl commands (Path 2), code generation (Path 3), and autonomous resolution (Path 5).

If Python is not available at all → skip directly to Path 2 (curl) in execution-guide.md.

Error PatternDiagnosisResolution
command not found: python3Python not on PATHTry python or py -3; install Python 3.9+ if missing
Python 3.9+ requiredScript version check failedUpgrade Python to 3.9+
SyntaxError near type hintsPython < 3.9Upgrade Python to 3.9+
QIANWEN_API_KEY/DASHSCOPE_API_KEY not foundMissing API keyObtain key from QianWen Console; add to .env: echo 'DASHSCOPE_API_KEY=sk-...' >> .env; or run qianwen-ops-auth if available
HTTP 401Invalid or mismatched keyRun qianwen-ops-auth (non-plaintext check only); verify key is valid
SSL: CERTIFICATE_VERIFY_FAILEDSSL cert issue (proxy/corporate)macOS: run Install Certificates.command; else set SSL_CERT_FILE env var
URLError / ConnectionErrorNetwork unreachableCheck internet; set HTTPS_PROXY if behind proxy
HTTP 429Rate limitedWait and retry with backoff
HTTP 5xxServer errorRetry with backoff
PermissionErrorCan't write outputUse --output to specify writable directory
Show full SKILL.md (834 more words)Show less

File Input

The API accepts: HTTP/HTTPS URL, Base64 data URI, and oss:// URL. Local file paths are NOT directly supported — scripts handle conversion automatically. Pass local paths directly; no manual upload step needed.

Large file rule: If the local file is >= 7 MB, always add --upload-files. Base64 encoding inflates size by ~33% and will exceed the 10 MB API limit. Small files (including short video clips < 7 MB) can use the default base64 path.

Token Plan (sk-sp-...) exception: The --upload-files temp-upload endpoint is unavailable for Token Plan keys and will be blocked with a friendly error. Token Plan users should use the default base64 path for local files; for files >= 7 MB, pass an accessible URL (https:// or oss://) instead of --upload-files.

MethodWhen to useHow
Online URLFile already hostedPass URL directly — preferred for large files
Base64 (default)Local files < 7 MB (images or short video clips)Script auto-converts to data: URI
Temp uploadLocal files >= 7 MBAdd --upload-files flag → uploads to DashScope temp storage (oss:// URL, 48h TTL)

Production: Default temp storage has 48h TTL and 100 QPS upload limit — not suitable for production, high-concurrency, or load-testing. To use your own OSS bucket, set QWEN_TMP_OSS_BUCKET and QWEN_TMP_OSS_REGION in .env, install pip install alibabacloud-oss-v2, and provide credentials via QWEN_TMP_OSS_AK_ID / QWEN_TMP_OSS_AK_SECRET or the standard OSS_ACCESS_KEY_ID / OSS_ACCESS_KEY_SECRET. Use a RAM user with least-privilege (oss:PutObject + oss:GetObject on target bucket only). The --upload-files flag is still required for vision scripts to trigger upload. If qianwen-ops-auth is installed, see its references/custom-oss.md for the full setup guide.

Input from Other Skills

When the input file comes from another skill's output (e.g., image-gen, video-gen):

  • Pass the URL directly (e.g., "image": "<image_url from image-gen>") — do NOT download the URL first
  • Downloading and re-passing as a local path wastes bandwidth and triggers unnecessary base64 encoding or OSS upload
  • All URL types are supported: https://, oss://, data:

Thinking Mode

Use the Qwen vision model catalog linked above for current thinking defaults and model compatibility. See visual-reasoning.md for execution details.

OCR

Use the Qwen vision model catalog linked above for the current OCR default, alternatives, and model capabilities. See ocr.md for parameters and examples.

Input Limits

Images: BMP/JPEG/PNG/TIFF/WEBP/HEIC. Min 10px sides, aspect ratio <= 200:1. Check the model catalog above for model-specific size limits.

Videos: MP4/AVI/MKV/MOV/FLV/WMV. Check the model catalog above for model-specific duration and size limits. fps range [0.1, 10], default 2.0.

Error Handling

HTTPMeaningAction
401Invalid or missing API keyRun qianwen-ops-auth if available; else prompt user to set key (non-plaintext check only)
400Bad request (invalid format)Verify messages format and image URL/format
429Rate limitedRetry with exponential backoff
5xxServer errorRetry with exponential backoff

Usage & billing: Use the qianwen-usage skill to check usage, free tier quota, and billing directly. Alternatively, the user can visit the QianWen console: Usage Analytics | Pay-as-you-go Billing | Token Plan Subscription

NEVER fabricate, guess, or construct usage/billing/console URLs. Only provide the exact links listed in this skill. If a URL is not listed here, do not invent one.

Output Location

Prefer the current working directory. Default subdirectory: ./output/qianwen-vision/.

Write prohibition: NEVER write output files into this skill's installation directory or any skills/ hierarchy. All generated content must go to output/ under the current working directory or a user-specified path.

Update Check (MANDATORY Post-Execution)

After script execution, check stderr for action signals. The script automatically detects update status and emits structured signals. You MUST act on them. This section also applies when the user explicitly asks to check for updates.

Signal: [ACTION_REQUIRED] qianwen-update-check skill is not installed

When stderr contains this signal, you MUST present the following options to the user and wait for their response before proceeding. Do NOT silently skip this.

The update-check skill is not installed. It keeps you informed about new QianWen-AI/qianwen-ai features and bug fixes.

  1. Install now — I'll run the install command for you
  2. Skip for now — do nothing this time
  3. Never remind me — permanently suppress this prompt

After the user responds:

  • User chooses 1 → run: npx skills add QianWen-AI/qianwen-ai --skill qianwen-update-check -y, then run: python3 <this-skill-scripts-dir>/gossamer.py --dismiss
  • User chooses 2 → run: python3 <this-skill-scripts-dir>/gossamer.py --dismiss, then continue normally
  • User chooses 3 → run: python3 <this-skill-scripts-dir>/gossamer.py --never-install, then continue normally
Signal: [UPDATE_AVAILABLE]

When stderr contains this signal, you MUST append a brief update notice to your response, including the version info and the update command shown in the stderr output.

No signal in stderr

If stderr contains neither [ACTION_REQUIRED] nor [UPDATE_AVAILABLE], no action is needed — the skill is installed and up to date (or cached within 24h).

Explicit user request

When the user explicitly asks to check for updates (e.g. "check for updates", "check version"):

  1. Look for qianwen-update-check/SKILL.md in sibling skill directories.
  2. If found — run: python3 <qianwen-update-check-dir>/scripts/check_update.py --print-response and report the result.
  3. If not found — present the install options above.

References

© QianWen-AI, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 17 other files (scripts, references) in skills/vision/qianwen-vision of QianWen-AI/qianwen-ai.

  • SKILL.md
  • cdn/config/qianwen-token-plan-config.json
  • cdn/config/qianwen-vision-config.json
  • cdn/references/qianwen-token-plan-models.md
  • cdn/references/qianwen-vision-models.md
  • references/api-guide.md
  • references/curl-examples.md
  • references/execution-guide.md
  • references/ocr.md
  • references/prompt-guide.md
  • references/sources.md
  • references/visual-reasoning.md
  • scripts/analyze.py
  • scripts/gossamer.py
  • scripts/ocr.py
  • scripts/qianwen_lib.py
  • … and 2 more

Open the folder on GitHubat commit 11b1805

Compare with similar skills

Qianwen Vision next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Qianwen Vision compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Qianwen Vision this skillQianWen-AI/qianwen-ai105—~4.9kAutomated safety check: NotesApache-2.0
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AI Image Generation and Editingzhayujie/CowAgent47k—~1.3kAutomated safety check: PassMIT
SN Motion HTMLOpenSenseNova/SenseNova-Skills5.7k—~2.2kAutomated safety check: NotesMIT
Wedding Video Guided Wizardaaronyi97/wedding-video-guided-wizard310—~1kAutomated safety check: PassMIT
Qwen Image 2 1 Prompteriamyoki/qwen-image-2.1-skill157—~1.6kAutomated safety check: PassApache-2.0

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  • Qianwen Video Generation

    QianWen-AI/qianwen-ai

    Generate videos using Wan and HappyHorse models. An agent skill from QianWen-AI/qianwen-ai.

    105 GitHub stars~5k tokensUpdated yesterday
    Auto-check: notes

  • Qianwen Update Check

    QianWen-AI/qianwen-ai

    Check for qianwen-ai updates and notify the user when a new version is available.

    105 GitHub stars~582 tokensUpdated yesterday
    Auto-check passed

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Questions about Qianwen Vision

What does Qianwen Vision do?

Understand images and videos with Qwen vision models. An agent skill from QianWen-AI/qianwen-ai. Qianwen Vision is an agent skill from QianWen-AI/qianwen-ai. Understand images and videos with Qwen vision models.

When should I use Qianwen Vision?

Qianwen Vision fits situations like: : user wants to analyze; extract information from images; OCR text extraction; chart/table reading.

How do I install Qianwen Vision in Claude Code?

Run `npx skills add QianWen-AI/qianwen-ai --skill qianwen-vision -a claude-code`. Or copy the skill folder (skills/vision/qianwen-vision in QianWen-AI/qianwen-ai) into .claude/skills/qianwen-vision in your project. Claude Code loads it when a task matches its description.

How do I install Qianwen Vision in Codex?

Run `npx skills add QianWen-AI/qianwen-ai --skill qianwen-vision -a codex`. Or copy the skill folder (skills/vision/qianwen-vision in QianWen-AI/qianwen-ai) into .agents/skills/qianwen-vision in your project. Codex loads it when a task matches its description.

Can I use Qianwen Vision in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add QianWen-AI/qianwen-ai --skill qianwen-vision -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qianwen-vision, .gemini/skills/qianwen-vision, .github/skills/qianwen-vision and .opencode/skills/qianwen-vision in your project.

What does Qianwen Vision need to run?

Going by SKILL.md and its folder, Qianwen Vision needs Python for the scripts in its folder, the command-line tools its instructions call (python3, python, pip and npx) and credentials named DASHSCOPE_API_KEY, QIANWEN_API_KEY, QWEN_TMP_OSS_AK_SECRET and OSS_ACCESS_KEY_ID. Our summary lists: Python 3; A credential in DASHSCOPE_API_KEY; A credential in QIANWEN_API_KEY. Compatibility (from SKILL.md): Requires Python 3.9+ and curl. Cursor: auto-loaded. Claude Code: read this skill's SKILL.md before first use..

Does Qianwen Vision access the network?

SKILL.md names 4 domains. In commands or code: qianwenai.com and help-static-aliyun-doc.aliyuncs.com; the agent is likely to contact these when it follows the instructions. As links in the text: platform.qianwenai.com and alioth.alicdn.com. This is read from the text; nothing was executed.

Is Qianwen Vision safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Qianwen Vision use?

Qianwen Vision is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Qianwen Vision use?

About 4.9k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 8.3k tokens, read only when the agent opens those files.

What are the alternatives to Qianwen Vision?

Skills that share tags, products or a category with Qianwen Vision: Bailian Media Generation (modelstudioai/cli, 542 stars), AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), SN Motion HTML (OpenSenseNova/SenseNova-Skills, 5.7k stars) and Wedding Video Guided Wizard (aaronyi97/wedding-video-guided-wizard, 310 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Qianwen Vision?

QianWen-AI (a GitHub organization) maintains it in QianWen-AI/qianwen-ai, which has 105 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 10, 2026.

Source: QianWen-AI/qianwen-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.