plumber: Skill for Claude Code

.claude/skills/setup-production-monitoring/SKILL.md

setup-production-monitoring is a skill for Claude Code from opengovsg/plumber. It costs 111 tokens per session (1,554 once invoked), scanned A, original, no licence file.

A planning guide for monitoring a newly built or reviewed feature in Datadog, a service for collecting application logs, metrics, and traces. It asks about likely failures, checks existing instrumentation, and produces a monitoring plan.

In plain words
What is it for?
Use it to review failure modes, find reusable metrics, traces, and logs, and plan the smallest required instrumentation changes.
Why use it?
It helps identify what should be observed in production and avoids adding monitoring without first checking what already exists.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is opengovsg/plumber's own configuration. It tells Claude Code how to work on plumber itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything plumber configures →

Reuse

Borrowing it

Nothing to install: this file belongs to opengovsg/plumber. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/opengovsg/plumber/develop-v2/.claude/skills/setup-production-monitoring/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/opengovsg/plumber

Made for: Claude Code.

Wrote 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.

agentmods badge for setup-production-monitoring

README.md
[![agentmods](https://agentmods.dev/badge/skills/opengovsg/plumber/setup-production-monitoring/github.svg)](https://agentmods.dev/skills/opengovsg/plumber/setup-production-monitoring)
Your own site
<a href="https://agentmods.dev/skills/opengovsg/plumber/setup-production-monitoring"><img src="https://agentmods.dev/badge/skills/opengovsg/plumber/setup-production-monitoring/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.

agentmods 80×15 button for setup-production-monitoring

Your own site · 80×15
<a href="https://agentmods.dev/skills/opengovsg/plumber/setup-production-monitoring"><img src="https://agentmods.dev/badge/skills/opengovsg/plumber/setup-production-monitoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,554 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00111 $0.01554
Opus 5.5 $0.00044 $0.00622
Sonnet 5.5 $0.00022 $0.00311
Haiku 4.5 $0.00011 $0.00155

Measured 9d ago against content hash f5805100331a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

setup-production-monitoring 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 9d 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.

.claude/skills/setup-production-monitoring/SKILL.md · 141 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

5 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.

Changes

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.

  1. 9d ago First seen · 141 lines · 111 tokens per session scan A f5805100331a

Subscribe to this mod's changes

setup-production-monitoring is a skill published in the GitHub repository opengovsg/plumber (28 stars, last pushed yesterday), with no licence file. It adds 111 tokens to every session and 1,554 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-11.

Related

Other skills, from other repositories

gke-compute-classes

Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…

google/skills · 83 tokens

gke-reliability

Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for generating K8s YAML manifests (use gke-manifest-generation) or disaster recovery…

google/skills · 85 tokens

gke-workload-security

Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running security audits (auditcluster.sh), enforcing Network Policies (default-deny and Dataplane V2 logging), isolating high-risk pods inside GKE Sandbox (gVisor), enforcing Pod…

google/skills · 171 tokens

cloud-architect

Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost…

Jeffallan/claude-skills · 71 tokens

nemo-automodel-launcher-config

Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.

NVIDIA/skills · 30 tokens

azure-mgmt-botservice-dotnet

Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".

microsoft/skills · 78 tokens