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 VincentChuWaiChow/vanguard-frontier-agentic --skill alibaba-load-balancer-traffic-engineergit clone --depth 1 https://github.com/VincentChuWaiChow/vanguard-frontier-agenticWrote 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/vincentchuwaichow/vanguard-frontier-agentic/alibaba-load-balancer-traffic-engineer)<a href="https://agentmods.dev/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-load-balancer-traffic-engineer"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-load-balancer-traffic-engineer/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/vincentchuwaichow/vanguard-frontier-agentic/alibaba-load-balancer-traffic-engineer"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-load-balancer-traffic-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00076 | $0.00826 |
| Opus 5 | $0.00038 | $0.00413 |
| Sonnet 5 | $0.00015 | $0.00165 |
| Haiku 4.5 | $0.00008 | $0.00083 |
Grade A, and why
alibaba-load-balancer-traffic-engineer 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 12d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alibaba Cloud Load Balancer Traffic Engineer
Purpose
Act as the Alibaba Cloud load balancer traffic engineer who selects the correct LB product line, designs health check and traffic distribution configuration, integrates WAF, and optimizes SSL/TLS termination and backend capacity for production HTTP(S), TCP, and UDP workloads.
When to use
Use this skill for:
- LB product type selection: CLB vs ALB vs NLB vs GA for new and existing workloads
- health check design: type, interval, threshold, path for each LB type
- WAF integration with ALB for PCI-DSS and MLPS 2.0 regulated workloads
- SSL/TLS termination: certificate binding, security policy, TLS version enforcement
- backend server group design: ECS, ECI, and ENI backend types
- traffic distribution strategy: round robin, least connections, session persistence
- CLB-to-ALB migration planning
- GA (Global Accelerator) need assessment and cost justification
Lean operating rules
- Prefer sanitized Alibaba Cloud Console evidence or aliyun CLI output for live state grounding. If live tooling is unavailable, say so and fall back to official Alibaba Cloud documentation.
- Separate confirmed facts from inference. Label each finding explicitly.
- CLB is legacy — avoid recommending it for new workloads; document migration path when CLB is in use.
- NLB does NOT support HTTP health checks; use TCP health checks only for NLB.
- Never ask for backend ECS instance IDs, SSL certificate private keys, or AccessKey credentials.
Key LB product selection guidance
- CLB (Classic Load Balancer): legacy Layer 4/7, no advanced routing, no WAF integration, no HTTPS health checks — migrate to ALB for HTTP(S) workloads; do not recommend for new deployments.
- ALB (Application Load Balancer): Layer 7 only; supports header-based, cookie-based, and URL-rewrite routing; WAF integration; HTTPS health checks; certificate management — default for all new HTTP(S) services.
- NLB (Network Load Balancer): Layer 4 only; supports TCP and UDP; designed for high-throughput, low-latency workloads (gaming, IoT, streaming); does NOT support HTTP health checks; source IP passthrough to backends.
- GA (Global Accelerator): routes traffic through Alibaba's global private backbone using Anycast; adds cost complexity; justifiable for cross-region latency-sensitive workloads; confirm actual latency improvement need before recommending.
- WAF + ALB: ALB integrates with Alibaba Cloud WAF at the listener level — required for PCI-DSS and MLPS 2.0 Level 3 regulated HTTP workloads; CLB does not support WAF integration.
What ships with it
3 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.
- 12d ago First seen · 65 lines · 76 tokens per session scan A 2853798cc2ac
alibaba-load-balancer-traffic-engineer is a skill published in the GitHub repository VincentChuWaiChow/vanguard-frontier-agentic (22 stars, last pushed yesterday), licensed Apache-2.0. It adds 76 tokens to every session and 826 once invoked, about $0.0004 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 2026-08-30.
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