alicloud-compute-swas-open

cinience/alicloud-skills · updated Apr 8, 2026

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$npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-compute-swas-open
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summary

Category: service

skill.md

Category: service

Simple Application Server (SWAS-OPEN 2020-06-01)

Use SWAS-OPEN OpenAPI to manage full SAS resources: instances, disks, snapshots, images, key pairs, firewall, Cloud Assistant, monitoring, tags, and lightweight databases.

Prerequisites

  • Prepare AccessKey with least-privilege RAM user/role.
  • Choose correct region and matching endpoint (public/VPC).ALICLOUD_REGION_ID can be used as default region; if unset choose the most reasonable region, ask user if unclear.
  • This OpenAPI uses RPC signing; prefer Python SDK or OpenAPI Explorer instead of manual signing.

SDK Priority

  1. Python SDK (preferred)
  2. OpenAPI Explorer
  3. Other SDKs

Python SDK quick query (instance ID / IP / plan)

Virtual environment is recommended (avoid PEP 668 system install restrictions).

python3 -m venv .venv
. .venv/bin/activate
python -m pip install alibabacloud_swas_open20200601 alibabacloud_tea_openapi alibabacloud_credentials
import os
from alibabacloud_swas_open20200601.client import Client as SwasClient
from alibabacloud_swas_open20200601 import models as swas_models
from alibabacloud_tea_openapi import models as open_api_models


def create_client(region_id: str) -> SwasClient:
    config = open_api_models.Config(
        region_id=region_id,
        endpoint=f"swas.{region_id}.aliyuncs.com",
    )
    ak = os.getenv("ALICLOUD_ACCESS_KEY_ID") or os.getenv("ALIBABA_CLOUD_ACCESS_KEY_ID")
    sk = os.getenv("ALICLOUD_ACCESS_KEY_SECRET") or os.getenv("ALIBABA_CLOUD_ACCESS_KEY_SECRET")
    if ak and sk:
        config.access_key_id = ak
        config.access_key_secret = sk
    return SwasClient(config)


def list_regions():
    client = create_client("cn-hangzhou")
    resp = client.list_regions(swas_models.ListRegionsRequest())
    return [r.region_id for r in resp.body.regions]


def list_instances(region_id: str):
    client = create_client(region_id)
    resp = client.list_instances(swas_models.ListInstancesRequest(region_id=region_id))
    return resp.body.instances


def main():
    for region_id in list_regions():
        for inst in list_instances(region_id):
            ip = getattr(inst, "public_ip_address", None) or getattr(inst, "inner_ip_address", None)
            spec = getattr(inst, "plan_name", None) or getattr(inst, "plan_id", None)
            print(inst.instance_id, ip or "-", spec or "-", region_id)


if __name__ == "__main__":
    main()

Python SDK scripts (recommended for inventory and summary)

  • All-region instance inventory (TSV/JSON):scripts/list_instances_all_regions.py
  • Count instances by plan:scripts/summary_instances_by_plan.py
  • Count instances by status:scripts/summary_instances_by_status.py
  • Fix SSH key-based access (custom port supported):scripts/fix_ssh_access.py
  • Get current SSH port of an instance:scripts/get_ssh_port.py

CLI Notes

  • aliyun CLI may not expose swas-open as product name; prefer Python SDK. If CLI is mandatory, generate request examples in OpenAPI Explorer first, then migrate to CLI.

Workflow

  1. Confirm resource type and region (instance/disk/snapshot/image/firewall/command/database/tag).
  2. Identify API group and operation in references/api_overview.md.
  3. Choose invocation method (Python SDK / OpenAPI Explorer / other SDK).
  4. After mutations, verify state/results with query APIs.

Common Operation Map

  • Instance query/start/stop/reboot:ListInstancesStartInstance(s)StopInstance(s)RebootInstance(s)
  • Command execution:RunCommand or CreateCommand + InvokeCommand; use DescribeInvocations/DescribeInvocationResult
  • Firewall:ListFirewallRules/CreateFirewallRule(s)/ModifyFirewallRule/EnableFirewallRule/DisableFirewallRule
  • Snapshot/disk/image:CreateSnapshotResetDiskCreateCustomImage etc.

Cloud Assistant Execution Notes

  • Target instance must be in Running state.
  • Cloud Assistant agent must be installed (use InstallCloudAssistant).
  • For PowerShell commands, ensure required modules are available on Windows instances.
  • After execution, use DescribeInvocations or DescribeInvocationResult to fetch status and outputs.

See references/command-assistant.md for details.

Clarifying questions (ask when uncertain)

  1. What is the target region? Is VPC endpoint required?
  2. What are target instance IDs? Are they currently Running?
  3. What command/script type/timeout is needed? Linux or Windows?
  4. Do you need batch execution or scheduled execution?

Output Policy

If you need to save results or responses, write to: output/compute-swas-open/

Validation

mkdir -p output/alicloud-compute-swas-open
for f in skills/compute/swas/alicloud-compute-swas-open/scripts/*.py; do
  python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/alicloud-compute-swas-open/validate.txt

Pass criteria: command exits 0 and output/alicloud-compute-swas-open/validate.txt is generated.

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/alicloud-compute-swas-open/.
  • Include key parameters (region/resource id/time range) in evidence files for reproducibility.

Prerequisites

  • Configure least-privilege Alibaba Cloud credentials before execution.
  • Prefer environment variables: ALICLOUD_ACCESS_KEY_ID, ALICLOUD_ACCESS_KEY_SECRET, optional ALICLOUD_REGION_ID.
  • If region is unclear, ask the user before running mutating operations.

Workflow

  1. Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
  2. Run one minimal read-only query first to verify connectivity and permissions.
  3. Execute the target operation with explicit parameters and bounded scope.
  4. Verify results and save output/evidence files.

References

  • API overview and operation groups:references/api_overview.md
  • Endpoints and integration:references/endpoints.md
  • Cloud Assistant highlights:references/command-assistant.md
  • Official source list:references/sources.md
how to use alicloud-compute-swas-open

How to use alicloud-compute-swas-open on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add alicloud-compute-swas-open
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-compute-swas-open

The skills CLI fetches alicloud-compute-swas-open from GitHub repository cinience/alicloud-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/alicloud-compute-swas-open

Reload or restart Cursor to activate alicloud-compute-swas-open. Access the skill through slash commands (e.g., /alicloud-compute-swas-open) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.556 reviews
  • Soo Gupta· Dec 28, 2024

    alicloud-compute-swas-open reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Soo Gill· Dec 20, 2024

    Keeps context tight: alicloud-compute-swas-open is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Shikha Mishra· Dec 16, 2024

    alicloud-compute-swas-open reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ama Huang· Dec 12, 2024

    We added alicloud-compute-swas-open from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Hiroshi Abebe· Dec 8, 2024

    alicloud-compute-swas-open is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ama Gill· Dec 4, 2024

    Registry listing for alicloud-compute-swas-open matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Hiroshi Choi· Dec 4, 2024

    Useful defaults in alicloud-compute-swas-open — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ama White· Nov 23, 2024

    Useful defaults in alicloud-compute-swas-open — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Neel Yang· Nov 23, 2024

    Registry listing for alicloud-compute-swas-open matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Hana Ndlovu· Nov 19, 2024

    I recommend alicloud-compute-swas-open for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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