Create a new Go core check that collects metrics and sends them to Datadog
npx skills add https://github.com/DataDog/datadog-agent --skill create-core-check
Create a new Go-based core check for the Datadog Agent. Core checks collect metrics, service checks, or events and send them to Datadog at regular intervals.
Use AskUserQuestion to collect the following. If $ARGUMENTS provides the check name, skip that question.
uptime, memory, ntp). Used as the package name, registration key, and config directory name.pkg/collector/corechecks/?system/ — System-level checks (CPU, memory, uptime, disk)net/ — Network checks (NTP, DNS)containers/ — Container-related checksebpf/ — eBPF-based checks (these are more complex, see pkg/collector/corechecks/ebpf/AGENTS.md)embed/ — Embedded service checkscorechecks/ — For standalone checksuptime)memory with collect_memory_pressure)ntp with different servers)Run() is called at regular intervals (default 15s)Run() never returns, processes events in a loopBefore writing any code, read the appropriate reference files based on the check type determined in Step 1. Follow the patterns found in these files exactly.
| Check type | Reference file to read |
|---|---|
| Simple, no config | pkg/collector/corechecks/system/uptime/uptime.go |
| Simple with config | pkg/collector/corechecks/system/memory/memory.go |
| Multi-instance with config | pkg/collector/corechecks/net/ntp/ntp.go |
| With component dependencies | pkg/collector/corechecks/containerimage/check.go |
| Long-running | Read the NewLongRunningCheckWrapper usage in pkg/collector/corechecks/containerimage/check.go |
| Platform-specific stubs | Find a _no*.go or _stub.go file alongside a platform-specific check in pkg/collector/corechecks/system/ |
Also read these files for registration and test patterns:
pkg/commonchecks/corechecks.go — to see how checks are registered (import alias convention, RegisterCheck calls)_test.go file alongside whichever reference check you read — to see mock sender patternsDirectory: pkg/collector/corechecks/<category>/<checkname>/
Create the check implementation file following the patterns from the reference files read in Step 2. Key structural elements that every check needs:
CheckName constant — string identifier for the checkCheck struct — embeds core.CheckBase, plus any config or component fieldsFactory() function — returns option.Option[func() check.Check]. Components are injected as Factory parameters.Configure() method — calls CommonConfigure, then FinalizeCheckServiceTag, then parses instance config if neededRun() method — collects data, calls sender methods, ends with sender.Commit()Key rules to follow:
c.BuildID(integrationConfigDigest, rawInstance, rawInitConfig) before CommonConfigure()core.NewLongRunningCheckWrapper() in Factory, return 0 from Interval(), implement Stop()//go:build <platform> tag and create a stub file for other platforms that returns option.Nonefunc() check.CheckEdit pkg/commonchecks/corechecks.go:
corecheckLoader.RegisterCheck() call in RegisterChecks(), matching the Factory signature to available component parametersFile: cmd/agent/dist/conf.d/<checkname>.d/conf.yaml.default
Look at an existing example in cmd/agent/dist/conf.d/ for the format. At minimum:
init_config:
instances:
- {}
For checks with configuration, use @param annotations following the same format as other conf.yaml.default files in the tree.
File: pkg/collector/corechecks/<category>/<checkname>/<checkname>_test.go
Follow the test patterns from the reference file read in Step 2. The standard test flow is:
mocksender.NewMockSender("")mockSender.On("FinalizeCheckServiceTag").Return()Configure the check with mockSender.GetSenderManager()mocksender.SetSender(mockSender, check.ID())Run() and assert expectations dda inv test --targets=./pkg/collector/corechecks/<category>/<checkname>
dda inv agent.build --build-exclude=systemd
dda inv linter.go
The sender (c.GetSender()) provides these methods for submitting data:
| Method | Description |
|---|---|
| Gauge(metric, value, hostname, tags) | Submit a gauge metric |
| Rate(metric, value, hostname, tags) | Submit a rate metric |
| Count(metric, value, hostname, tags) | Submit a count metric |
| MonotonicCount(metric, value, hostname, tags) | Submit a monotonic count |
| Histogram(metric, value, hostname, tags) | Submit a histogram metric |
| Distribution(metric, value, hostname, tags) | Submit a distribution metric |
| ServiceCheck(name, status, hostname, tags, message) | Submit a service check |
| Event(event) | Submit an event |
| Commit() | Flush all submitted data — must be called at end of Run() |
"" for hostname to use the agent's default hostname.nil for tags if no tags are needed.servicecheck.ServiceCheckOK, ServiceCheckWarning, ServiceCheckCritical, ServiceCheckUnknown (from pkg/metrics/servicecheck).CheckBase provides default implementations for most Check interface methods. You only need to override Run() and optionally Configure(), Stop(), and Interval().CommonConfigure handles standard configuration: collection interval (min_collection_interval), custom tags, service tag, etc.FinalizeCheckServiceTag() must be called after CommonConfigure to apply the service tag to the sender.sender.Commit() at the end of Run() to flush data.BuildID() must be called before CommonConfigure().option.Nonefunc() check.Check pattern is used for platform stubs — the loader skips checks with no factory.integration.FakeConfigHash is the constant to use in tests for the config digest parameter./create-core-check — Interactive: prompts for all details/create-core-check my_check — Pre-fills the check nameComprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
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