Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add DauQuangThanh/hanoi-rainbow --skill alibaba-cloudgit clone --depth 1 https://github.com/DauQuangThanh/hanoi-rainbowWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/dauquangthanh/hanoi-rainbow/alibaba-cloud)<a href="https://agentmods.dev/skills/dauquangthanh/hanoi-rainbow/alibaba-cloud"><img src="https://agentmods.dev/badge/skills/dauquangthanh/hanoi-rainbow/alibaba-cloud/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dauquangthanh/hanoi-rainbow/alibaba-cloud"><img src="https://agentmods.dev/badge/skills/dauquangthanh/hanoi-rainbow/alibaba-cloud.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00151 | $0.01615 |
| Opus 5 | $0.00076 | $0.00807 |
| Sonnet 5 | $0.00030 | $0.00323 |
| Haiku 4.5 | $0.00015 | $0.00161 |
Grade A, and why
alibaba-cloud scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alibaba Cloud
Core Capabilities
Provides expert guidance across Alibaba Cloud ecosystem:
- Compute Services - ECS instances, Auto Scaling, Container Service (ACK), Function Compute
- Storage & Database - OSS object storage, ApsaraDB (RDS, Redis, MongoDB), NAS, Block Storage
- Networking - VPC, SLB (Server Load Balancer), VPN Gateway, CEN, NAT Gateway
- Security & Identity - RAM (Resource Access Management), Security Center, WAF, Anti-DDoS
- Application Services - API Gateway, Message Service (MNS/MQ), DirectMail, SMS
- DevOps & Monitoring - CloudMonitor, Log Service, ARMS, Container Registry
- CDN & Edge - Alibaba Cloud CDN, DCDN, Global Accelerator
- Data & Analytics - DataWorks, MaxCompute, AnalyticDB, E-MapReduce
Best Practices
Architecture
- Deploy across multiple zones for high availability
- Use SLB for load balancing with health checks
- Implement Auto Scaling for dynamic capacity
- Configure CloudMonitor with actionable alerts
Security
- Enable RAM with least privilege access control
- Use Security Groups and Network ACLs for filtering
- Enable encryption at rest and in transit
- Implement WAF and Anti-DDoS for protection
- Enable ActionTrail for audit logging
Cost Optimization
- Use Reserved Instances for predictable workloads (up to 70% savings)
- Leverage Preemptible Instances for batch jobs
- Configure Auto Scaling to match demand
- Use OSS lifecycle policies for cold data
- Monitor with Cost Management dashboards
Performance
- Choose appropriate instance families and sizes
- Implement Redis/Memcache for caching
- Use CDN for static content delivery
- Configure read replicas for databases
- Enable ESSD disks for high IOPS workloads
Infrastructure as Code
Terraform for Alibaba Cloud
terraform {
required_providers {
alicloud = {
source = "aliyun/alicloud"
version = "~> 1.200"
}
}
}
provider "alicloud" {
region = "cn-hangzhou"
}
# VPC with multi-zone deployment
resource "alicloud_vpc" "main" {
vpc_name = "production-vpc"
cidr_block = "10.0.0.0/16"
}
resource "alicloud_vswitch" "app" {
vpc_id = alicloud_vpc.main.id
cidr_block = "10.0.1.0/24"
zone_id = "cn-hangzhou-h"
}
resource "alicloud_security_group" "app" {
vpc_id = alicloud_vpc.main.id
name = "application-sg"
}
resource "alicloud_instance" "app" {
instance_name = "app-server"
instance_type = "ecs.g6.large"
image_id = "ubuntu_20_04_x64"
vswitch_id = alicloud_vswitch.app.id
security_groups = [alicloud_security_group.app.id]
internet_max_bandwidth_out = 10
}
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 195 lines · 151 tokens per session scan A 9404660d00f5
alibaba-cloud is a skill published in the GitHub repository DauQuangThanh/hanoi-rainbow (16 stars, last pushed 7mo ago), licensed MIT. It adds 151 tokens to every session and 1,615 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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