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 jsgerman-oss/blackrim-nimbus-skills --skill alibaba-computegit clone --depth 1 https://github.com/jsgerman-oss/blackrim-nimbus-skillsWrote 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/jsgerman-oss/blackrim-nimbus-skills/alibaba-compute)<a href="https://agentmods.dev/skills/jsgerman-oss/blackrim-nimbus-skills/alibaba-compute"><img src="https://agentmods.dev/badge/skills/jsgerman-oss/blackrim-nimbus-skills/alibaba-compute/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/jsgerman-oss/blackrim-nimbus-skills/alibaba-compute"><img src="https://agentmods.dev/badge/skills/jsgerman-oss/blackrim-nimbus-skills/alibaba-compute.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 | $0.00088 | $0.02734 |
| Opus 5 | $0.00044 | $0.01367 |
| Sonnet 5 | $0.00018 | $0.00547 |
| Haiku 4.5 | $0.00009 | $0.00273 |
Grade A, and why
alibaba-compute 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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alibaba Compute
When to use
- Designing a new workload and choosing between serverless, container, and VM compute.
- Selecting an ECS instance family or sizing an ACK node pool.
- Deciding between ACK Standard, ACK Pro, ACK Serverless, SAE, or Function Compute for a containerized or event-driven service.
- Configuring autoscaling on ECS Auto Scaling groups or ACK cluster autoscaler / Karpenter.
- Reviewing RAM execution roles attached to compute and ECS RAM role best practices.
- Auditing Spot instance configuration and interruption handling.
Decision tree
- Event-driven, short-lived, irregular load, stateless → Function Compute (FC). Sync invocation under 15 min; async trigger from OSS / MNS / EventBridge / API Gateway.
- Containerized HTTP service, no Kubernetes expertise, per-application auto-scale → Serverless App Engine (SAE). Micro-billing per request when idle.
- Container fleet with sidecars, service mesh, GitOps, multi-tenant, complex scheduling → ACK Pro (production) or ACK Standard (dev/test). ACK Serverless for burst-only or low-cardinality clusters.
- GPU, FPGA, HPC simulation, molecular dynamics, rendering → E-HPC cluster or ECS with GPU instance family (
gn7,gn6v, etc.). - Container tasks without managing nodes, one-shot jobs, batch → Elastic Container Instance (ECI) — pay per vCPU-second, no node pool overhead.
- Persistent VM needed: custom kernel, license-tied OS, ISV appliance, sustained single-tenant → ECS. Pick the right family (see below).
ECS instance families
| Family | Best for |
|---|---|
g7 / g8y (ARM, Yitian 710) |
General-purpose; g8y is ~20% cheaper per vCPU than x86 equivalent. Prefer for stateless services. |
c7 / c8y (ARM compute-optimized) |
CPU-intensive: transcoding, ML inference, compression. |
r7 / r8y (ARM memory-optimized) |
In-memory databases, large JVM heaps. |
hfc7 / hfg7 (high-frequency CPU) |
Trading, real-time simulation, sub-ms latency compute. |
gn7 / gn6v (GPU) |
Training and inference; gn7 uses A10, gn6v uses V100. |
t6 (burstable) |
Dev/CI/staging; monitor CPU credit balance in CloudMonitor. |
| Spot (Preemptible) | Stateless / restart-tolerant; up to 90% discount; design for 2-min interruption notice. |
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 · 149 lines · 88 tokens per session scan A 9cfef03fed3f
alibaba-compute is a skill published in the GitHub repository jsgerman-oss/blackrim-nimbus-skills (8 stars, last pushed 26d ago), licensed MIT. It adds 88 tokens to every session and 2,734 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 2026-08-31.
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