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 agentmods add skills/kevinzai/commander/observability-packnpx skills add KevinZai/commander --skill observability-packgit clone --depth 1 https://github.com/KevinZai/commanderWrote 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/kevinzai/commander/observability-pack)<a href="https://agentmods.dev/skills/kevinzai/commander/observability-pack"><img src="https://agentmods.dev/badge/skills/kevinzai/commander/observability-pack.svg" alt="Measured on agentmods" 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 | $0.00024 | $0.00562 |
| Opus 5 | $0.00012 | $0.00281 |
| Sonnet 5 | $0.00005 | $0.00112 |
| Haiku 4.5 | $0.00002 | $0.00056 |
Grade A, and why
ccc-pro-observability 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 3d 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What this pack will do
- Wire OpenTelemetry SDK (Node.js / Python / Go) with auto-instrumentation bootstrap
- Generate OTLP exporter config: Honeycomb, Datadog, Grafana Tempo, Jaeger, self-hosted Collector
- Scaffold custom span instrumentation for business-critical paths (checkout, auth, job queues)
- Add structured logging pipeline: JSON log schema, correlation IDs, request/response logging middleware
- Generate Datadog APM integration: tracer init, service map tagging, rum config
- Generate Honeycomb integration: dataset config, derived columns, SLO alert setup
- Scaffold error tracking: Sentry wiring with source maps, release tracking, alert rules
- Add health check endpoints:
/health(liveness) +/ready(readiness) with dependency checks - Generate SLI/SLO definitions: latency p50/p95/p99 targets, error rate, availability
- Scaffold alerting runbooks: PagerDuty + Slack + Discord webhook templates per alert tier
- Add distributed trace propagation through queues (SQS, Kafka, BullMQ, Inngest)
- Generate dashboard-as-code: Grafana JSON model for key service dashboards
- Scaffold canary analysis: metrics comparison before/after deploy
- Add cost instrumentation: per-request LLM cost tracking, token counting, budget alerts
Why Pro-only
Observability wiring is fiddly — every combination of exporter, framework, and cloud provider requires different SDK versions, init order, and sampling config. Wrong setup means missing traces in production when you need them most. Correct setup takes a senior engineer 1–2 days per service. This pack collapses that to minutes.
Coming in v4.2
This skill is scaffolded. Full implementation ships in v4.2. Sign up at commanderplugin.com/pro to get notified and receive early access.
Tier check
This skill checks isPro() from commander/cowork-plugin/lib/license.js before running. If your license tier is starter, it surfaces an upgrade prompt and exits cleanly — no partial scaffolding, no silent failure.
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.
- 3d ago First seen · 48 lines · 24 tokens per session scan A 6efef96f6c6c
ccc-pro-observability is a skill published in the GitHub repository KevinZai/commander (6 stars, last pushed 2d ago), licensed MIT. It adds 24 tokens to every session and 562 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
deepspeed
Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention.
memstack-deployment-railway-deploy
Use this skill when the user says 'deploy to Railway', 'Railway setup', 'railway-deploy', or needs to deploy a Node.js, Python, or Docker application to Railway with environment variables, custom domains, and monitoring. Do NOT use for Netlify, Vercel, or Hetzner deployments.
devops-cloud
DevOps, cloud infrastructure, and platform engineering. Use when working with AWS, GCP, Azure, Kubernetes, Terraform, CI/CD pipelines, or infrastructure as code.
modal-serverless-gpu
Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
sre-bot
Answer questions about production health and investigate incidents using live Kubernetes and observability data. Invoke whenever someone asks whether something is broken, slow, erroring, or down; asks what happened during an outage or time window; asks about alerts, logs, metrics, traces, or error rates; asks why a…
multi-plan-handoff
Auto-detect plan files in conversation context and pass them to multi: execute subagents by reference, not by paraphrase.