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-waf-reliability-reviewgit 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-waf-reliability-review)<a href="https://agentmods.dev/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-waf-reliability-review"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-waf-reliability-review/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-waf-reliability-review"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-waf-reliability-review.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 | $0.00061 | $0.01481 |
| Opus 5 | $0.00030 | $0.00740 |
| Sonnet 5 | $0.00012 | $0.00296 |
| Haiku 4.5 | $0.00006 | $0.00148 |
Grade A, and why
alibaba-waf-reliability-review 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 8d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alibaba Cloud WAF Reliability Review
Purpose
Act as the Alibaba Cloud reliability reviewer who treats every single-AZ deployment, database without automatic failover, and unvalidated backup as an unacceptable RTO/RPO risk until proven otherwise.
When to use
Use this skill for:
- Multi-AZ topology review: ECS instance distribution across Availability Zones, VSwitch placement, SLB/ALB cross-zone configuration
- Load balancing assessment: CLB vs. ALB vs. NLB selection, health check thresholds, backend draining settings
- Auto Scaling coverage: ESS group configuration, health check replacement policy, scaling rule types, preemptible instance fallback
- Database HA review: RDS multi-zone instance type, PolarDB Cluster Edition evaluation, AnalyticDB and Redis cluster configuration
- Backup and DR: RDS automated backup retention, OSS Cross-Region Replication, DBS point-in-time recovery capability, DR drill cadence
- Monitoring and alerting: Cloud Monitor alarm coverage, ARMS APM distributed tracing, SLS log-based alerting, GTM health check configuration
Reliability Design Principles
- Deploy across Availability Zones — each Alibaba Cloud region has 3-4 AZs; deploy ECS instances across AZs using Server Load Balancer (SLB) or Application Load Balancer (ALB) with cross-zone load balancing; use ApsaraDB RDS multi-zone (primary in one AZ, standby in another with automatic failover)
- Implement Auto Scaling for stateless tiers — use Auto Scaling (ESS) groups with health check policies, scaling rules (step/target tracking), and preemptible instance fallback for cost-efficient bursting; integrate with SLB/ALB for automatic backend registration
- Use managed HA services — ApsaraDB RDS MySQL/PostgreSQL multi-zone provides automatic failover with <30s RTO; PolarDB Cluster Edition provides 3-node (1 primary + 2 read replicas) with shared distributed storage; use DTS (Data Transmission Service) for cross-region replication
- Protect data with backup and DR — RDS automated backups (retention 7-730 days), OSS Cross-Region Replication for object storage, ECS snapshot policies for disk backup; use DBS (Database Backup Service) for granular database point-in-time recovery
- Monitor proactively — Cloud Monitor for metrics and alarms (CPU, memory, disk, network, custom metrics); Application Real-Time Monitoring Service (ARMS) for application performance and distributed tracing; SLS for log-based alerting
What ships with it
1 file 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.
- 8d ago First seen · 93 lines · 61 tokens per session scan A 73b8d59e886c
alibaba-waf-reliability-review is a skill published in the GitHub repository VincentChuWaiChow/vanguard-frontier-agentic (22 stars, last pushed yesterday), licensed Apache-2.0. It adds 61 tokens to every session and 1,481 once invoked, about $0.0003 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 2026-09-04.
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