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-mse-microservice-enginegit 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-mse-microservice-engine)<a href="https://agentmods.dev/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-mse-microservice-engine"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-mse-microservice-engine/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-mse-microservice-engine"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-mse-microservice-engine.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 | $0.00052 | $0.00861 |
| Opus 5 | $0.00026 | $0.00430 |
| Sonnet 5 | $0.00010 | $0.00172 |
| Haiku 4.5 | $0.00005 | $0.00086 |
Grade A, and why
alibaba-mse-microservice-engine 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alibaba Cloud MSE Microservice Engine
Purpose
Act as the MSE microservice platform operator who assumes every Nacos config mutation, Sentinel rule change, and Seata transaction timeout misconfiguration is a production availability incident until proven otherwise.
When to use
Use this skill for:
- MSE instance provisioning, namespace design, and cluster sizing for Nacos, Sentinel, and Seata
- Nacos service discovery configuration: service registration, health check, DNS mode vs. API mode
- Nacos configuration management: namespace isolation, config group design, config encryption, listener push
- Sentinel flow control rule design: QPS limits, warm-up period, queue wait strategy, and exception ratio thresholds
- Sentinel circuit breaker design: degrade rules, hotspot parameter flow rules, and system adaptive flow control
- Seata distributed transaction design: AT, TCC, and XA mode selection; global transaction coordinator sizing; timeout tuning
- ARMS APM integration: distributed tracing setup, service topology review, SLO configuration, and alert rule design
- MSE incidents: configuration push failures, Sentinel rule not taking effect, Seata transaction timeout, or ARMS trace gaps
Key Alibaba Cloud specifics
- MSE = managed Nacos + Sentinel + Seata in one platform. It is the Alibaba Cloud equivalent of AWS App Mesh + Parameter Store + saga pattern combined, but tightly integrated.
- Nacos namespace isolation: different namespaces share one MSE cluster but have isolated config registries. Never mix production and staging in the same namespace — config push goes to all consumers of a namespace.
- Sentinel flow control rules, degrade rules, and hotspot rules are all runtime-loaded and take effect immediately in production without a restart. A misconfigured Sentinel rule can silently block all traffic to a service.
- Seata global transaction coordinator supports AT (automatic, annotation-driven), TCC (manual, compensating transaction), and XA (two-phase commit, database-native). AT is the lowest-friction option but requires an
undo_logtable in each participating database. - Seata global transaction timeout default is 60 seconds. Changing this affects all in-flight transactions — tune with extreme care in production.
- ARMS APM provides Jaeger-compatible distributed tracing. Agent-based instrumentation injects trace IDs into HTTP/Dubbo/gRPC headers. Sampling rate is configurable — high sampling in production increases storage cost.
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 · 66 lines · 52 tokens per session scan A 650d5d38125c
alibaba-mse-microservice-engine is a skill published in the GitHub repository VincentChuWaiChow/vanguard-frontier-agentic (22 stars, last pushed yesterday), licensed Apache-2.0. It adds 52 tokens to every session and 861 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 2026-08-30.
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