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-observability-and-costgit 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-observability-and-cost)<a href="https://agentmods.dev/skills/jsgerman-oss/blackrim-nimbus-skills/alibaba-observability-and-cost"><img src="https://agentmods.dev/badge/skills/jsgerman-oss/blackrim-nimbus-skills/alibaba-observability-and-cost/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-observability-and-cost"><img src="https://agentmods.dev/badge/skills/jsgerman-oss/blackrim-nimbus-skills/alibaba-observability-and-cost.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 | $0.00082 | $0.02510 |
| Opus 5 | $0.00041 | $0.01255 |
| Sonnet 5 | $0.00016 | $0.00502 |
| Haiku 4.5 | $0.00008 | $0.00251 |
Grade A, and why
alibaba-observability-and-cost 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alibaba Observability and Cost
When to use
- Setting up logs, metrics, and traces for a new service.
- Building an SLO dashboard or wiring an alarm to an on-call channel.
- Diagnosing a latency, error rate, or cost regression.
- Evaluating whether to purchase Savings Plans or Reserved Instances.
- Sizing a quarterly cloud cost review with resource group and tag-based breakdowns.
Observability pillars
| Pillar | Service |
|---|---|
| Infrastructure metrics | CloudMonitor (metrics, host metrics, custom metrics, alarm rules) |
| Logs (ingest + query + alert) | Simple Log Service (SLS) — Logstore for raw logs, Metricstore for timeseries metrics |
| APM / distributed traces | ARMS (Application Real-Time Monitoring Service) — trace, profiling, RUM |
| Synthetics | ARMS Synthetic Monitoring (canary-style availability checks) |
| Real User Monitoring | ARMS Front-End Monitoring (browser + mobile SDK) |
| K8s observability | ARMS Prometheus (managed Prometheus + Grafana for ACK clusters) |
| Dashboards | CloudMonitor custom dashboards, SLS Dashboards, ARMS Service Map, Grafana |
Defaults — every service
- Structured JSON logs with a stable request-id field propagated across the call chain.
- CloudMonitor host agent on every ECS instance for memory, disk, and process metrics (not reported by the hypervisor by default).
- SLS log ingestion from every compute runtime (ECS, FC, ACK pods, SAE) —
stdout+stderrcollected by Logtail agent or SLS SDK. - ARMS trace SDK (OpenTelemetry or Alibaba-native) for any service with user-visible latency; propagate
TraceIdas a log field. - At least one alarm per service tied to user-visible pain — error rate, p99 latency, queue depth, dead-letter count. Never alarm on CPU alone.
- SLS Logstore TTL: set explicitly (30–90 d for hot query; archive to OSS Cold Archive for long retention). Default unlimited TTL is an unbounded bill.
CloudMonitor
- Metrics coverage: ECS / ACK node / RDS / Redis / OSS / SLB metrics are ingested automatically once the resource is created. Explicit agent install required for in-OS memory and disk.
- Custom metrics: use CloudMonitor custom metric API or embedded-format logs (SLS-based) for application-level signals; batch
PutCustomMetricDatacalls to stay within rate limits. - Alarm rules: specify metric, statistic (avg / max / sum), period (1 min minimum), threshold, and evaluation count. Alarm action: notification contact group (DingTalk, email, SMS) or EventBridge for programmatic response.
- Event rules: resource events (ECS Spot interruption, Auto Scaling activity, RDS failover) are CloudMonitor events — wire to EventBridge → Function Compute for automated response.
- Composite alarms: supported; combine multiple metric alarms to suppress noise (e.g., alert only when both error rate and latency exceed threshold simultaneously).
- System event alarms: subscribe to Alibaba Cloud service disruptions and maintenance events via CloudMonitor system events.
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 · 153 lines · 82 tokens per session scan A 4d83d2e35264
alibaba-observability-and-cost is a skill published in the GitHub repository jsgerman-oss/blackrim-nimbus-skills (8 stars, last pushed 26d ago), licensed MIT. It adds 82 tokens to every session and 2,510 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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