Agent skill

Qianwen Model Selector

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

Recommend the best Qwen model and parameters. An agent skill from QianWen-AI/qianwen-ai.

Apache-2.0Auto-check: notes

Install Qianwen Model Selector

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

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

GitHub CLI
$ gh skill install QianWen-AI/qianwen-ai qianwen-model-selector --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/models/qianwen-model-selector .claude/skills/qianwen-model-selector && 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-model-selector
GitHub stars
105
Token cost
~4.8k tokens
SKILL.md length
1,833 words
Files
15 (incl. references)
Skills in repo
11
Repo updated
First seen
Licence
Apache-2.0

At a glance

Recommend the best Qwen model and parameters. An agent skill from QianWen-AI/qianwen-ai.

  • Works in 2 steps: Interactive advisory — asks diagnostic… → Cross-skill resolution — provides a…
  • : choosing between Qwen models
  • SKILL.md covers Detecting Key Type, Skill directory, Prerequisites and Security & Credential Model, plus 9 more sections
  • Calls python3 and npm; reaches alioth.alicdn.com; needs DASHSCOPE_API_KEY and QIANWEN_API_KEY

What it does

Qianwen Model Selector is an agent skill from QianWen-AI/qianwen-ai. Recommend the best Qwen model and parameters. TRIGGER when: choosing between Qwen models, comparing Qwen model pricing, understanding Qwen model capabilities, checking usage or billing, viewing cost history, when an execution skill needs model selection advice, or user explicitly invokes this skill by name (e.g. use qianwen-model-selector). DO NOT TRIGGER when: non-Qwen model discussions (OpenAI, Gemini, etc.), general AI questions unrelated to Qwen.

Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including reference files (for example `cdn/references/qianwen-audio-tts-models.md`, `cdn/references/qianwen-image-generation-models.md` and `cdn/references/qianwen-model-list.md`). Compatibility notes: Advisory skill. CDN snapshot lookup has no local dependency; real-time model and account queries require QianWen CLI and Node.js = 18. Cursor: auto-loaded…

It works with Qwen and OpenAI. 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

  • : choosing between Qwen models
  • Comparing Qwen model pricing
  • Understanding Qwen model capabilities
  • Viewing cost history

Example prompts

  • “/qianwen-model-selector”

Requirements

  • Python 3
  • Node.js
  • A credential in QIANWEN_API_KEY
  • A credential in DASHSCOPE_API_KEY
  • Compatibility (from SKILL.md): Advisory skill. CDN snapshot lookup has no local dependency; real-time model and account queries require QianWen CLI and Node.js >= 18. Cursor: auto-loaded. Claude Code: read this skill's SKILL.md before first use.

Workflow steps

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

  1. Interactive advisory — asks diagnostic questions to recommend the right model (see Diagnostic Flow).
  2. Cross-skill resolution — provides a fast-path model lookup for execution skills that need a model

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

    Shell commands in SKILL.md call:

    • python3
    • npm

    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:

    • alioth.alicdn.com

    Also links to:

    • platform.qianwenai.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

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

  • Compatibility

    Advisory skill. CDN snapshot lookup has no local dependency; real-time model and account queries require QianWen CLI and Node.js >= 18. Cursor: auto-loaded. Claude Code: read this skill's SKILL.md before first use.

    From compatibility in the SKILL.md frontmatter.

Context cost

Qianwen Model Selector loads about 4.8k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 119 tokens; SKILL.md has 1,833 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~119
When it runs · the whole SKILL.md, loaded when a task matches
~4.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~12k

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:17
    env_file = Path('.env')
  • NoteMentions a .env fileSKILL.md:21
    env_file = parent / '.env'
  • NoteMentions a .env fileSKILL.md:107
    t", "valid" / "invalid"). Never display `.env` or config file contents.

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); files beside SKILL.md 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). 1,833 words, ~4,834 tokens.

Download SKILL.mdSave it as .claude/skills/qianwen-model-selector/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.
name
qianwen-model-selector
description
Recommend the best Qwen model and parameters. TRIGGER when: choosing between Qwen models, comparing Qwen model pricing, understanding Qwen model capabilities, checking usage or billing, viewing cost history, when an execution skill needs model selection advice, or user explicitly invokes this skill by name (e.g. use qianwen-model-selector). DO NOT TRIGGER when: non-Qwen model discussions (OpenAI, Gemini, etc.), general AI questions unrelated to Qwen.
compatibility
Advisory skill. CDN snapshot lookup has no local dependency; real-time model and account queries require QianWen CLI and Node.js >= 18. Cursor: auto-loaded. Claude Code: read this skill's SKILL.md before first use.

Qwen Model Selector (Advisor)

Detecting Key Type

Run this command to detect the API key type (outputs token-plan, payg, or not-set):

bash
python3 -c "
import os
from pathlib import Path
env_file = Path('.env')
if not env_file.exists():
    for parent in [Path.cwd()] + list(Path.cwd().parents):
        if (parent / '.git').exists() or (parent / 'skills').is_dir():
            env_file = parent / '.env'
            break
if env_file.exists():
    for line in env_file.read_text().splitlines():
        line = line.strip()
        if not line or line.startswith('#') or '=' not in line:
            continue
        k, v = line.split('=', 1)
        k, v = k.strip(), v.strip().strip('\"').strip(\"'\")
        if k in ('QIANWEN_API_KEY', 'DASHSCOPE_API_KEY') and k not in os.environ:
            os.environ[k] = v
key = os.environ.get('QIANWEN_API_KEY') or os.environ.get('DASHSCOPE_API_KEY') or ''
print('token-plan' if key.startswith('sk-sp-') else 'payg' if key else 'not-set')
"
OutputBilling modeAction
token-planToken Plan (Credits)Fetch the current Token Plan model catalog and select only from it. Default to Team superset when edition unknown. If CDN access fails, use the local fallback.
paygPay-as-you-goFull model catalog available; continue below.
not-setNo key configuredDo not block. Ask the user: "Which approach do you plan to use? (1) Standard PAYG key (2) Token Plan key (3) Skip for now — just browse recommendations." Proceed based on their choice.

Windows: If python3 is not available, use python. The multi-line -c string works in both PowerShell and CMD. Alternatively, save the snippet to a temporary .py file and run it.

This skill operates in two modes:

  1. Interactive advisory — asks diagnostic questions to recommend the right model (see Diagnostic Flow).
  2. Cross-skill resolution — provides a fast-path model lookup for execution skills that need a model decision without user interaction. Fetch the CDN recommendations first; if CDN access fails, use the local fallback.

Do not fabricate model names — only recommend models listed in the CDN model catalogs or returned by CLI. This skill is part of QianWen-AI/qianwen-ai.

Skill directory

Load on demand. Fetch the documented CDN model catalogs when model lists, defaults, or recommendations are needed. Do not fetch other external URLs unless the user explicitly asks for the latest data.

Every path under cdn/ is a local fallback, not the primary source. For cdn/<path>, first fetch https://alioth.alicdn.com/skills-info/models/<path> and use the local file only if that CDN request fails.

LocationPurpose
references/cli-usage.mdCLI-first data strategy: when to use CLI, 3-step login flow, display rules
references/error-handling.mdCLI error classification & recovery actions (auth, not-found, network, ...)
CDN model recommendationsCross-domain recommendations and Token Plan constraints; if unavailable, use the local fallback
references/pricing-disclaimer.mdPAYG only: pricing disclaimer (CN/EN) + console links
references/pricing.mdStable billing units, cost caveats, and CDN pricing fallback
CDN model catalogCross-domain model catalog snapshot; if unavailable, use the local fallback
references/sources.mdOfficial documentation URLs (manual lookup only)

Prerequisites

QianWen CLI is strongly recommended — it is the authoritative real-time data source for model availability, pricing, and quotas. Verify with:

bash
qianwen version

If not installed:

bash
npm install -g @qianwenai/qianwen-cli

Node.js >= 18 is required for the CLI. Without CLI, you can still answer point-in-time general navigation and basic model-information questions from the CDN catalogs. You cannot verify current availability, exact current prices, capability-search results beyond the snapshot, or account-specific quota information.

Security & Credential Model

QianWen has two independent credential systems — never confuse them:

CredentialPurposeHow to provide
API Key (sk-... / sk-sp-...)Call model APIs in your code$DASHSCOPE_API_KEY / $QIANWEN_API_KEY env var
CLI sessionAuthorize qianwen CLI subcommandsqianwen auth login (browser device flow)

Red lines (apply to both):

  • NEVER output any credential value in plaintext. Use variable references; report only status ("set" / "not set", "valid" / "invalid"). Never display .env or config file contents.
  • NEVER conflate the two systems. When CLI returns Not authenticated / AUTH_REQUIRED, run the 3-step device-flow login (see cli-usage.md). DO NOT ask the user for an API key, and DO NOT try to set $DASHSCOPE_API_KEY to fix CLI auth.

Data Resolution Order

Match the user's question to the right data source. Do not fall back to a lower tier without trying the recovery actions in the higher tier first.

Question typePrimary sourceNotes
General navigation or point-in-time basic model detailsCDN recommendations and domain catalogsFetch before answering. If CDN access fails, use the corresponding local fallback. State that catalog data is a snapshot when currentness matters.
Current / exact / account-specific (availability, price, quota)CLI MUST be used — see cli-usage.mdSnapshots cannot verify current state; never invent numbers
Search by capability ("model that does X")qianwen models search "<X>" --format jsonSnapshot keyword coverage is incomplete
CLI returned an errorerror-handling.md recovery actions, then retryAuth failure → run 3-step login, do not skip to snapshot
CLI completely unavailable AND user declines install/loginCDN model catalogs + pricing.mdAnswer only snapshot-supported facts with a stale-data caveat; do not claim current availability, exact current price, or account quota
All of the above cannot answer AND user confirms online lookupURLs in sources.mdNever proactively fetch

Diagnostic Flow (Interactive Advisory)

Prerequisite: Complete Detecting Key Type above and narrow the candidate set before proceeding. All recommendations loaded from the CDN catalog must stay within the user's billing scope.

Ask the user (in order):

  1. Content type? — text / image / video / audio / vision
  2. Primary task? — generation / understanding / coding / reasoning / translation
  3. Priority? — quality vs speed vs cost
  4. Input size? — short / medium / long context
  5. Structured output? — JSON / function calling needed?

Default Recommendations

Before recommending any model, check its exact ID against the official retirement list (id, expiredTime) and any CLI lifecycle result. Exclude scheduled or already retired models from defaults and recommendations, even if a catalog or plan still lists them. If the user explicitly selects one, disclose its retirement date and the announcement, suggest a supported replacement, and do not silently substitute it. If lifecycle data cannot be verified, say so; a snapshot alone is not proof of current availability.

Before choosing a default or recommending a model, fetch and read the current CDN recommendations linked above. For a Token Plan key, also read the Token Plan model catalog linked above and restrict candidates to it.

  • If the user explicitly specifies a model, use it after verifying that it is available in the user's billing scope.
  • Otherwise, match the strongest task signal first, then choose the appropriate quality, speed, or cost tier.
  • If missing requirements would materially change the choice, compare the relevant domain options and ask the user to clarify.
  • Preserve the selected model's documented thinking default unless the user or task requires an override; do not enable thinking merely as a generic default for simple tasks.

CLI Quick Reference

Auth required. All models and usage commands need an active CLI session (browser device-flow login — NOT the API key). If the command returns Not authenticated / AUTH_REQUIRED:

  1. Run the 3-step device-flow login in cli-usage.md (proactively open the verification URL using the OS-appropriate command, then poll immediately).
  2. Retry the original command after success.
  3. DO NOT ask the user for $DASHSCOPE_API_KEY / $QIANWEN_API_KEY — those are for model API calls, not CLI session. See Security & Credential Model above.
  4. DO NOT silently fall back to snapshots.

Token Plan (sk-sp- keys): Once an active CLI session is established (device-flow login), qianwen usage commands report both pay-as-you-go usage and Token Plan seat allowance / shared-package Credits for the logged-in account. For purchasing shared packages, adjusting seats, or full billing history, direct the user to the Token Plan Subscription console. Token Plan model availability (text + image + video + TTS) is documented in the CDN Token Plan model catalog linked above.

NeedCommand
Full model catalogqianwen models list --all --format json
Filter by modalityqianwen models list --input image --output text --format json
Single model detailsqianwen models info <model-id> --format json
Keyword searchqianwen models search "<query>" --format json
Free tier remainingqianwen usage free-tier --format json
Auth statusqianwen auth status --format json

Display rules: Parse --format json output and present a human-readable summary; never dump raw JSON. Display --format text output as-is, then add analysis after ---. See cli-usage.md for details.

Show full SKILL.md (627 more words)Show less

CLI Error Handling — Quick Guide

When CLI fails, classify first, recover, then retry. Never silently fall back to snapshots.

CategoryRecovery (summary)
auth-failureRun 3-step login → retry the original command. Fall back only if user declines.
not-installedShow install command → ask user to install → retry. Do NOT silently use snapshot.
model-not-foundRun qianwen models search "<keyword>" → propose top 3 → retry with correct ID.
network-timeoutRetry once after 2s; only after second failure ask whether to fall back.
quota-exhaustedShow Billing Console; do NOT use snapshot.
version-mismatchSuggest qianwen version --check or update-check skill → upgrade → retry.
otherShow raw stderr; link to docs; only after user opt-out, fall back.

Full classification, signals, and example flows: error-handling.md.

Pricing & Cost Estimation (PAYG only)

Skip this section for Token Plan.

  • Latest pricing: Run qianwen models info <model> --format json first; use the CDN pricing reference linked by pricing.md only as a fallback. Never invent a price.
  • Mandatory disclaimer: Every cost-related answer must end with the disclaimer in pricing-disclaimer.md (Chinese or English version, matching the user's response language). Omitting the disclaimer is a critical failure.
  • Free quota: Never assume free quota is available — use qianwen usage free-tier to verify or direct the user to the console.
  • Usage / billing queries: Direct the user to the appropriate console page — see the table in pricing-disclaimer.md.

Update Check

When the user asks to check for updates ("check for updates", "check version", "is there a new version", "update skills"):

  1. Find qianwen-update-check: 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. Use --force if the user asks to force-check.
  3. If not found — run qianwen version --check and report the result.

Anti-Patterns

  • Never fabricate model names — only recommend models listed in the CDN model catalogs or returned by CLI.
  • Never infer the API key type from the request wording — use the configured Key or calling context.
  • Never recommend a model outside the user's billing scope — Token Plan keys must only receive models from the Token Plan model catalog linked above; PAYG keys may use the full catalog. Violating this causes hard failures for the user.
  • Never invent or guess any price figure — use CLI / pricing.md / official pricing page only. Fabricating a price is a critical failure.
  • Never silently fall back to snapshots when CLI errors out — apply error-handling.md recovery actions first.
  • Never assume free quota is available — quotas may have been consumed, expired, or removed. Always present the paid unit price first.
  • Never output API keys in plaintext — see Security section.
  • Never confuse CLI session with API key — CLI auth uses browser device-flow login; never offer $DASHSCOPE_API_KEY or $QIANWEN_API_KEY as a fix for CLI Not authenticated / AUTH_REQUIRED errors.
  • Never proactively fetch arbitrary URLs or trigger web searches. Fetch the documented CDN model catalogs when model data is needed; access other online sources only when CLI + CDN catalogs cannot answer AND the user confirms.
  • Never construct usage/billing/console URLs — only use the exact links listed in this skill or its references. If a URL is not listed, do not invent one.
  • Always include the cost disclaimer for any cost-related answer (see pricing-disclaimer.md).

References

SourcePurpose
cli-usage.mdCLI-first strategy, 3-step login, display rules, model detail URL
error-handling.mdCLI error classification & recovery
qianwen-model-recommendations.md (CDN) (local fallback)Cross-domain recommendations and Token Plan constraints
pricing-disclaimer.mdPricing guidance + mandatory disclaimer + billing console links
pricing.mdStable billing units, cost caveats, and CDN pricing fallback
qianwen-model-list.md (CDN) (local fallback)Cross-domain model catalog snapshot
sources.mdOfficial documentation URLs
qianwen models list --format jsonDynamic: full model catalog with pricing, features, quotas
qianwen models info <id> --format jsonDynamic: single model details (pricing tiers, context, rate limits)
qianwen models search "<q>" --format jsonDynamic: keyword-based model discovery
qianwen usage free-tier --format jsonDynamic: remaining free tier quota per model

© 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 14 other files (references) in skills/models/qianwen-model-selector of QianWen-AI/qianwen-ai.

  • SKILL.md
  • cdn/references/qianwen-audio-tts-models.md
  • cdn/references/qianwen-image-generation-models.md
  • cdn/references/qianwen-model-list.md
  • cdn/references/qianwen-model-pricing.md
  • cdn/references/qianwen-model-recommendations.md
  • cdn/references/qianwen-text-models.md
  • cdn/references/qianwen-token-plan-models.md
  • cdn/references/qianwen-video-generation-models.md
  • cdn/references/qianwen-vision-models.md
  • references/cli-usage.md
  • references/error-handling.md
  • references/pricing-disclaimer.md
  • references/pricing.md
  • references/sources.md

Open the folder on GitHubat commit 11b1805

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Works with

Questions about Qianwen Model Selector

What does Qianwen Model Selector do?

Recommend the best Qwen model and parameters. An agent skill from QianWen-AI/qianwen-ai. Qianwen Model Selector is an agent skill from QianWen-AI/qianwen-ai. Recommend the best Qwen model and parameters.

When should I use Qianwen Model Selector?

Qianwen Model Selector fits situations like: : choosing between Qwen models; comparing Qwen model pricing; understanding Qwen model capabilities; viewing cost history.

How do I install Qianwen Model Selector in Claude Code?

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

How do I install Qianwen Model Selector in Codex?

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

Can I use Qianwen Model Selector 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-model-selector -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-model-selector, .gemini/skills/qianwen-model-selector, .github/skills/qianwen-model-selector and .opencode/skills/qianwen-model-selector in your project.

What does Qianwen Model Selector need to run?

Going by SKILL.md and its folder, Qianwen Model Selector needs the command-line tools its instructions call (python3 and npm) and credentials named DASHSCOPE_API_KEY and QIANWEN_API_KEY. Our summary lists: Python 3; Node.js; A credential in QIANWEN_API_KEY; A credential in DASHSCOPE_API_KEY. Compatibility (from SKILL.md): Advisory skill. CDN snapshot lookup has no local dependency; real-time model and account queries require QianWen CLI and Node.js >= 18. Cursor: auto-loaded. Claude Code: read this skill's SKILL.md before first use..

Does Qianwen Model Selector access the network?

SKILL.md names 2 domains. In commands or code: alioth.alicdn.com; the agent is likely to contact it when it follows the instructions. As links in the text: platform.qianwenai.com. This is read from the text; nothing was executed.

Is Qianwen Model Selector 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. Review the folder before installing.

What licence does Qianwen Model Selector use?

Qianwen Model Selector 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 Model Selector use?

About 4.8k tokens (SKILL.md is roughly 19k 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 7.4k tokens, read only when the agent opens those files.

What are the alternatives to Qianwen Model Selector?

Skills that share tags, products or a category with Qianwen Model Selector: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Deep Review (dyad-sh/dyad, 22k stars), Dingo Verify (MigoXLab/dingo, 757 stars) and AI Image Creator (centminmod/my-claude-code-setup, 2.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Qianwen Model Selector?

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.