Description

Use when managing and troubleshoot Alibaba Cloud ALB (Application Load Balancer), including the user asks to inspect, create, change, or debug ALB instances,...

README (SKILL.md)

Category: service

Application Load Balancer (ALB)

Name: Aliyun Alb Manage
Author: cinience

Use this skill for end-to-end ALB operations via local Python scripts and OpenAPI-compatible workflows.

Validation

mkdir -p output/aliyun-alb-manage
for f in skills/network/slb/aliyun-alb-manage/scripts/*.py; do
  python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-alb-manage/validate.txt

Pass criteria: command exits 0 and output/aliyun-alb-manage/validate.txt is generated.

Output And Evidence

Save all command outputs, request parameters, and API responses under output/aliyun-alb-manage/.
For change operations, keep before/after snapshots plus health-check results.

Prerequisites

pip install alibabacloud_alb20200616 alibabacloud_tea_openapi alibabacloud_credentials

Credential priority:

ALICLOUD_ACCESS_KEY_ID / ALICLOUD_ACCESS_KEY_SECRET
Optional STS token: ALICLOUD_SECURITY_TOKEN
Shared config: ~/.alibabacloud/credentials

Workflow

Confirm region, VPC context, target ALB resource IDs, and expected change window.
Run inventory scripts first (list_*, get_*) and save baseline outputs.
Apply one change at a time (listener/server-group/rule/lb lifecycle).
Wait for async completion when needed (scripts/wait_for_job.py).
Validate final state with health checks and state re-query.

Top task playbooks

1) Read-only inventory and quick diagnosis

python3 scripts/list_instances.py --region cn-hangzhou --json --output output/aliyun-alb-manage/instances.json
python3 scripts/list_server_groups.py --region cn-hangzhou --json --output output/aliyun-alb-manage/server-groups.json
python3 scripts/list_acls.py --region cn-hangzhou --json --output output/aliyun-alb-manage/acls.json

2) Inspect one ALB and listener details

python3 scripts/get_instance_status.py --region cn-hangzhou --lb-id alb-xxx --view detail --output output/aliyun-alb-manage/lb-detail.json
python3 scripts/list_listeners.py --region cn-hangzhou --lb-id alb-xxx --json --output output/aliyun-alb-manage/listeners.json
python3 scripts/get_listener_attribute.py --region cn-hangzhou --listener-id lsn-xxx --output output/aliyun-alb-manage/listener-attr.json

3) Validate traffic path health

python3 scripts/check_health_status.py --region cn-hangzhou --listener-id lsn-xxx --output output/aliyun-alb-manage/health.json
python3 scripts/list_server_group_servers.py --region cn-hangzhou --server-group-id sgp-xxx --output output/aliyun-alb-manage/server-group-members.json

4) Controlled change flow (example: update listener)

python3 scripts/update_listener.py --region cn-hangzhou --listener-id lsn-xxx --request-timeout 120 --output output/aliyun-alb-manage/update-listener.json
python3 scripts/check_health_status.py --region cn-hangzhou --listener-id lsn-xxx --output output/aliyun-alb-manage/health-after-update.json

5) Resource lifecycle operations

ALB lifecycle: create_load_balancer.py, delete_load_balancer.py, deletion_protection.py
Listener lifecycle: create_listener.py, start_listener.py, stop_listener.py, delete_listener.py
Server-group lifecycle: create_server_group.py, add_servers.py, remove_servers.py, delete_server_group.py
Rule lifecycle: create_rule.py, update_rule.py, delete_rule.py

References

API quick map: references/api_quick_map.md
Script catalog: references/scripts_catalog.md
Troubleshooting: references/troubleshooting.md
Logs and analysis: references/log-analysis.md
Dependencies/order: references/resource-dependencies.md
Sources: references/sources.md

Usage Guidance

This package implements real Alibaba Cloud ALB management scripts and will need valid Alibaba Cloud credentials to operate. Before installing or granting it access: 1) Inspect the scripts (you already have them) and confirm they only call Alibaba SDK APIs (they do). 2) Provide credentials with least privilege (create an IAM user/role limited to ALB actions) and prefer a temporary STS token rather than long-lived keys. 3) Run the provided validation (py_compile) and run scripts in an isolated environment or sandboxed runner. 4) Note the SKILL.md asks you to pip install dependencies — prefer reviewing and pinning package versions, and install into a virtualenv. 5) Ask the publisher to update registry metadata to explicitly declare required env vars (ALICLOUD_ACCESS_KEY_ID, ALICLOUD_ACCESS_KEY_SECRET, optional ALICLOUD_SECURITY_TOKEN) and the config path (~/.alibabacloud/credentials) and to fix the validation path inconsistency. If you cannot get these clarifications, treat the skill as untrusted until you can run it in a controlled environment with scoped credentials.

Capability Analysis

Type: OpenClaw Skill Name: aliyun-alb-manage Version: 1.0.0 The aliyun-alb-manage skill bundle is a legitimate toolset for managing Alibaba Cloud Application Load Balancers. It consists of a comprehensive collection of Python scripts (e.g., create_load_balancer.py, list_instances.py, check_health_status.py) that interface with the official Alibaba Cloud SDK to perform standard administrative tasks. The scripts handle credentials securely via standard environment variables (ALICLOUD_ACCESS_KEY_ID/SECRET), include dry-run capabilities, and implement confirmation prompts for destructive operations. No evidence of data exfiltration, malicious execution, or prompt injection was found; the instructions in SKILL.md and the supporting documentation are strictly aligned with the stated purpose of ALB management and troubleshooting.

Capability Assessment

ℹ Purpose & Capability

The name/description match the included Python scripts (create/list/update/delete ALB resources). The code uses the Alibaba Cloud ALB SDK and calls ALB API endpoints as expected, so the functionality aligns with the stated purpose. However, the registry metadata lists no required environment variables or credentials while the scripts and SKILL.md both require Alibaba Cloud credentials and a shared config file — this is an important inconsistency.

⚠ Instruction Scope

SKILL.md instructs installing specific Python packages, running multiple scripts, and using environment variables or ~/.alibabacloud/credentials for credentials. The validation snippet references a path 'skills/network/slb/aliyun-alb-manage/scripts/*.py' which does not match the provided manifest organization (scripts/*.py), indicating sloppy or incorrect runtime instructions. The runtime instructions direct the agent to read environment credentials and to save outputs locally under output/aliyun-alb-manage/ (expected), but they also assume the presence of credentials without the registry declaring them.

⚠ Install Mechanism

There is no formal install specification in the registry, but SKILL.md asks the user/agent to pip install alibabacloud_alb20200616, alibabacloud_tea_openapi, and alibabacloud_credentials. Installing from PyPI is normal for Python tools, but the lack of an install spec in the package metadata means the runtime may fail or do unexpected installs. No remote download URLs or obfuscated installers were found in the provided files (good).

⚠ Credentials

The scripts require Alibaba Cloud credentials (ALICLOUD_ACCESS_KEY_ID / ALICLOUD_ACCESS_KEY_SECRET or ALIBABA_CLOUD_... alternates and optional security token) and implicitly the shared credentials file; these are reasonable for ALB management. However, the registry metadata declares no required env vars or config paths — an incoherence. Multiple environment variable names are accepted (ALICLOUD_* and ALIBABA_CLOUD_*), which is reasonable for compatibility but should be explicitly declared so users know what secrets will be accessed.

✓ Persistence & Privilege

The skill is not marked always:true and does not request persistent/system-wide privileges. Scripts write outputs to a local output/ directory and rely on normal SDK credential resolution; they do not attempt to modify other skill configs or set themselves as always-enabled. Autonomous invocation is allowed by default but is not combined with other high-risk indicators here.

Version History

v1.0.0

Initial release of aliyun-alb-manage skill. - Supports management and troubleshooting of Alibaba Cloud Application Load Balancer (ALB) resources. - Provides Python scripts and workflow guidance for inspecting, creating, modifying, and debugging ALB instances, listeners, server groups, rules, certificates, ACLs, security policies, and health checks. - Includes validation steps, output storage conventions, and credential handling instructions. - Offers playbooks for common inventory, inspection, health validation, and change workflows. - Documentation includes references for APIs, script usage, troubleshooting, and resource dependencies.

Metadata

Slug aliyun-alb-manage

Version 1.0.0

License MIT-0

All-time Installs 0

Active Installs 0

Total Versions 1

Frequently Asked Questions

What is Aliyun Alb Manage?

Use when managing and troubleshoot Alibaba Cloud ALB (Application Load Balancer), including the user asks to inspect, create, change, or debug ALB instances,... It is an AI Agent Skill for Claude Code / OpenClaw, with 93 downloads so far.

How do I install Aliyun Alb Manage?

Run "/install aliyun-alb-manage" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Aliyun Alb Manage free?

Yes, Aliyun Alb Manage is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Aliyun Alb Manage support?

Aliyun Alb Manage is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Aliyun Alb Manage?

It is built and maintained by cinience (@cinience); the current version is v1.0.0.

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