--- name: alibaba-cloud-model-setup-665414071def description: Configure OpenClaw (including historical Moltbot/Clawdbot paths) to use Alibaba Cloud Model Studio through a strict interactive flow. The first required step is asking whether the user can run terminal commands now; use that answer to choose env-var mode (preferred) or inline mode before collecting site/key details. Use this skill when a user asks to add, switch, or repair Alibaba Cloud/Qwen provider configuration in OpenClaw. --- # Alibaba Cloud Model Setup ## Overview Use this skill to configure Alibaba Cloud as an OpenClaw model provider with minimal manual editing. Prefer the bundled script for deterministic updates and safe backups. ## Workflow 1. Confirm OpenClaw config location. 2. Run the interactive script to collect: - First and mandatory: whether user can run terminal commands now (decides env mode vs inline mode) - In env mode, show 2 commands for user to run (`export` + append to `~/.bashrc`), then wait for confirmation and verify - Retry env detection up to 2 times; if still not detected, ask whether to fallback to inline key - Site choice (`Beijing/中国站/CN`, `Singapore/国际站/INTL`, or `Virginia/美国站/US`) - Access Key (only required if inline mode, or if user chooses inline fallback) - Validate API key against selected site before any config write - In systemd deployments, ensure service environment is ready before write - Default preset models (`qwen-max`, `qwen-flash`, `qwen3-coder-plus`) - Whether to add extra models from live API list - Whether to change primary model from default - Whether to set this model as default 3. Validate the resulting JSON and report the final provider/model path. 4. If user is unsure which model IDs are available, fetch live models from API first. ## Safety Rules (Mandatory) 1. Always run `python3 scripts/alibaba_cloud_model_setup.py` for configuration changes. 2. Never edit `~/.openclaw/openclaw.json` manually when this skill is used. 3. In environment-variable mode, never proceed to config write unless env detection succeeds in the script flow; if detection fails and user rejects inline fallback, stop with `Config not changed.` 4. In systemd deployments, never proceed to config write unless `systemctl --user show-environment` contains the configured env var. ## Run Script Execute: ```bash python3 scripts/alibaba_cloud_model_setup.py ``` Optional flags for non-interactive use: ```bash python3 scripts/alibaba_cloud_model_setup.py \ --site intl \ --api-key-source env \ --env-var DASHSCOPE_API_KEY \ --api-key "$DASHSCOPE_API_KEY" \ --models qwen-max,qwen-flash,qwen3-coder-plus \ --model qwen3-coder-plus \ --set-default ``` List live model IDs via API (no config write): ```bash python3 scripts/alibaba_cloud_model_setup.py \ --site intl \ --api-key "$DASHSCOPE_API_KEY" \ --list-models \ --non-interactive ``` ## Default Behavior - Detect config path in this order: - `~/.openclaw/openclaw.json` - `~/.moltbot/moltbot.json` - `~/.clawdbot/clawdbot.json` - If none exists, create `~/.openclaw/openclaw.json` - Write provider `balian` with OpenAI-compatible API mode - Create a timestamped backup before overwriting an existing file - Preserve unrelated config sections ## Validation Checklist After configuration: 1. Confirm JSON is valid by running `python3 -m json.tool `. 2. Ensure `models.providers.balian.baseUrl` matches site selection. 3. Ensure `models.providers.balian.models` contains expected model IDs. 4. Ensure `agents.defaults.model.primary` is `balian/` when default is enabled. 5. Start dashboard (`openclaw dashboard`) or TUI (`openclaw tui`) and verify model call succeeds. ## References - Endpoint and field conventions: `references/openclaw_alibaba_cloud.md` --- Source attribution: kbarbel640-del Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/extraterrest/alibaba-cloud-model-setup/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 clawdbot Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: kbarbel640-del Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/extraterrest/alibaba-cloud-model-setup/SKILL.md Attribution basis: Source repository record Fields of work: Development & Engineering Roles: Backend Developer, DevOps / SRE, ML / AI Engineer Specialties: Backend Tools: Alibaba Cloud Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: e00816b246d9843b31cf7c14c287cb5af71a53970bb88a227fdc68004bf14c01