mcpbeat

Create Core Check

datadog/create-core-check

Create a new Go core check that collects metrics and sends them to Datadog

2k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
3695
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/DataDog/datadog-agent --skill create-core-check

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting

The instruction itself

11 sections, as written by the author

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.

Instructions

Step 1: Gather information from the user

Use AskUserQuestion to collect the following. If $ARGUMENTS provides the check name, skip that question.

  • Check name: The identifier for the check (e.g. uptime, memory, ntp). Used as the package name, registration key, and config directory name.
  • Check category: Where should the check live under pkg/collector/corechecks/?
  • system/ — System-level checks (CPU, memory, uptime, disk)
  • net/ — Network checks (NTP, DNS)
  • containers/ — Container-related checks
  • ebpf/ — eBPF-based checks (these are more complex, see pkg/collector/corechecks/ebpf/AGENTS.md)
  • embed/ — Embedded service checks
  • Top-level under corechecks/ — For standalone checks
  • What does it collect?: Describe the metrics, service checks, or events it produces.
  • Configuration: Does it need instance-level configuration?
  • No config — Single instance, no user parameters (like uptime)
  • Simple config — A few YAML parameters (like memory with collect_memory_pressure)
  • Multi-instance — Supports multiple configured instances (like ntp with different servers)
  • Component dependencies: Does the check need injected components?
  • None — Simple check, no external dependencies
  • Tagger — Needs to tag metrics with container/host tags
  • WorkloadMeta — Needs access to workload metadata store
  • Other — Specify which components
  • Long-running?: Does the check run continuously in the background?
  • No (default) — Run() is called at regular intervals (default 15s)
  • YesRun() never returns, processes events in a loop
  • Platform restrictions: Does the check only work on certain platforms?
  • All platforms (default)
  • Linux only
  • Windows only
  • Linux + macOS (not Windows)

Step 2: Read reference examples from the codebase

Before 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)
  • The _test.go file alongside whichever reference check you read — to see mock sender patterns

Step 3: Create the check package

Directory: 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 check
  • Check struct — embeds core.CheckBase, plus any config or component fields
  • Factory() function — returns option.Option[func() check.Check]. Components are injected as Factory parameters.
  • Configure() method — calls CommonConfigure, then FinalizeCheckServiceTag, then parses instance config if needed
  • Run() method — collects data, calls sender methods, ends with sender.Commit()

Key rules to follow:

  • For multi-instance checks: call c.BuildID(integrationConfigDigest, rawInstance, rawInitConfig) before CommonConfigure()
  • For long-running checks: wrap with core.NewLongRunningCheckWrapper() in Factory, return 0 from Interval(), implement Stop()
  • For platform-specific checks: add //go:build <platform> tag and create a stub file for other platforms that returns option.Nonefunc() check.Check

Step 4: Register the check

Edit pkg/commonchecks/corechecks.go:

  • Add an import for the check package using the standard alias convention visible in the file (typically the check name)
  • Add a corecheckLoader.RegisterCheck() call in RegisterChecks(), matching the Factory signature to available component parameters

Step 5: Create the default configuration

File: 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.

Step 6: Write tests

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:

  • Create a mocksender.NewMockSender("")
  • Set up mockSender.On("FinalizeCheckServiceTag").Return()
  • Create and Configure the check with mockSender.GetSenderManager()
  • Call mocksender.SetSender(mockSender, check.ID())
  • Set expectations on the mock sender for expected metrics
  • Call Run() and assert expectations

Step 7: Verify

  • Run the check tests:
   dda inv test --targets=./pkg/collector/corechecks/<category>/<checkname>
  • Build the agent:
   dda inv agent.build --build-exclude=systemd
  • Run the linter:
   dda inv linter.go
  • Report the results to the user.

Sender Methods Reference

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() |

  • Pass "" for hostname to use the agent's default hostname.
  • Pass nil for tags if no tags are needed.
  • Service check statuses: servicecheck.ServiceCheckOK, ServiceCheckWarning, ServiceCheckCritical, ServiceCheckUnknown (from pkg/metrics/servicecheck).

Important Notes

  • 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.
  • Always call sender.Commit() at the end of Run() to flush data.
  • For multi-instance checks, BuildID() must be called before CommonConfigure().
  • The 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.

Usage

  • /create-core-check — Interactive: prompts for all details
  • /create-core-check my_check — Pre-fills the check name

How to use it

Copy the folder

Take datadog/create-core-check from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.