UModel Root Cause Analysis
alibaba/UnifiedModel
Investigates a service incident to its root cause by querying a UModel object graph alongside metrics, logs, topology and recent deployments.
Onboard an application into Elastic Observability with the Elastic Distribution of OpenTelemetry (EDOT): route on language and runtime, detect and replace a classic Elastic APM agent, apply the…
$ npx skills add elastic/agent-skills --skill observability-onboarding -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install elastic/agent-skills observability-onboarding --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/elastic/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/observability/onboarding .claude/skills/observability-onboarding && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "observability-onboarding" agent skill from https://github.com/elastic/agent-skills/tree/main/skills/observability/onboarding into .claude/skills/observability-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability-onboarding", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/elastic/agent-skills/tree/main/skills/observability/onboardingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add elastic/agent-skills --skill observability-onboarding -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install elastic/agent-skills observability-onboarding --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/elastic/agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/observability/onboarding .agents/skills/observability-onboarding && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "observability-onboarding" agent skill from https://github.com/elastic/agent-skills/tree/main/skills/observability/onboarding into .agents/skills/observability-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability-onboarding", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add elastic/agent-skills --skill observability-onboarding -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install elastic/agent-skills observability-onboarding --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/elastic/agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/observability/onboarding .cursor/skills/observability-onboarding && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "observability-onboarding" agent skill from https://github.com/elastic/agent-skills/tree/main/skills/observability/onboarding into .cursor/skills/observability-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability-onboarding", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/elastic/agent-skills.git --path skills/observability/onboarding--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add elastic/agent-skills --skill observability-onboarding -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install elastic/agent-skills observability-onboarding --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/elastic/agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/observability/onboarding .gemini/skills/observability-onboarding && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "observability-onboarding" agent skill from https://github.com/elastic/agent-skills/tree/main/skills/observability/onboarding into .gemini/skills/observability-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability-onboarding", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install elastic/agent-skills observability-onboardingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add elastic/agent-skills --skill observability-onboarding -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/elastic/agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/observability/onboarding .github/skills/observability-onboarding && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "observability-onboarding" agent skill from https://github.com/elastic/agent-skills/tree/main/skills/observability/onboarding into .github/skills/observability-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability-onboarding", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add elastic/agent-skills --skill observability-onboarding -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install elastic/agent-skills observability-onboarding --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/elastic/agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/observability/onboarding .opencode/skills/observability-onboarding && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "observability-onboarding" agent skill from https://github.com/elastic/agent-skills/tree/main/skills/observability/onboarding into .opencode/skills/observability-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability-onboarding", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
observability-onboardingOnboard an application into Elastic Observability with the Elastic Distribution of OpenTelemetry (EDOT): route on language and runtime, detect and replace a classic Elastic APM agent, apply the…
Observability Onboarding is an agent skill from elastic/agent-skills, published by the product's own GitHub organization. Onboard an application into Elastic Observability with the Elastic Distribution of OpenTelemetry (EDOT): route on language and runtime, detect and replace a classic Elastic APM agent, apply the required OTLP configuration, and then verify with ES|QL that traces, metrics, and logs actually arrive under the expected service name. Use when adding observability to a service, migrating off the classic Elastic APM agent, or debugging why an instrumented service is not showing up in Elastic.
Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/dotnet.md`, `references/java.md` and `references/php.md`). Compatibility notes: Requires the elastic CLI (= 0.2) with an Elasticsearch context for the verification step, and an OTLP destination reachable from the application — either the…
It sits in DevOps & Cloud, covering Observability and Monitoring and alerting. It works with OpenTelemetry and Elasticsearch. The repository describes itself as: Official Elastic Skills. The licence is Apache-2.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit baa5111. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are esql).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires the `elastic` CLI (>= 0.2) with an Elasticsearch context for the verification step, and an OTLP destination reachable from the application — either the Elastic managed OTLP endpoint or an EDOT Collector. ES|QL verification requires Elasticsearch 8.11 or later. Covers Java, Python, .NET, and PHP runtimes.
From compatibility in the SKILL.md frontmatter.
Observability Onboarding loads about 4.1k tokens when it runs, and up to ~9.1k if it reads all its reference files. Until then it costs about 129 tokens; SKILL.md has 1,863 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from elastic/agent-skills at commit baa5111, republished under its Apache-2.0 licence (© elastic). 1,863 words, ~4,066 tokens.
.claude/skills/observability-onboarding/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Instrument an application with the Elastic Distribution of OpenTelemetry (EDOT) and prove the telemetry arrived. The instrumentation change is only half the job: an application can be configured perfectly and still emit nothing, so this skill ends by querying Elasticsearch for the service's data rather than declaring success from a config diff.
The scope is application instrumentation with the EDOT SDKs. Deploying an EDOT Collector, collecting logs from files or infrastructure, and onboarding data through Elastic Agent, Fleet, or integration packages are separate ingest paths that this skill does not cover.
Once telemetry is flowing, use the observability-sre-triage skill to assess service health, observability-k8s-investigation for Kubernetes-layer failures, observability-service-reliability to define SLOs and alerts on the new signals, and observability-llm-obs for GenAI and agentic workloads.
<!-- begin-partial: preamble -->
This skill executes Elasticsearch operations through the elastic CLI. If the
elastic CLI is not installed, tell the user what it is needed for. Do
not guess credentials, call the HTTP API directly, or attempt other workarounds.
This skill references operations in HTTP-shorthand form (e.g., GET /, GET /_cat/indices, GET /{index}/_mapping,
GET /{index}/_settings/index.mode, POST /_query). The Operations table at the end of this document
maps each shorthand to the equivalent elastic CLI command — always use the CLI rather than calling the HTTP API
directly.
<!-- end-partial: preamble -->
The CLI check above gates querying the cluster — it does not gate analysis. When the user has already supplied the evidence in their question (metric values, counts, status reasons, log lines, alert payloads, configuration), reason from that evidence and deliver the conclusion.
When you genuinely do need data the user has not provided, still say what you would check and how — name the specific query, index, and field that would settle the question — and then ask for CLI setup. An answer that names the check is useful without a cluster; one that only asks for setup is not.
Only the verification step in this skill talks to Elasticsearch; it runs through POST /_query. Everything else edits
application code and configuration in the user's workspace.
service.nameApplies to every response produced under this skill.
Identify the language and runtime. Read the project's dependency manifest — pom.xml or build.gradle,
requirements.txt or pyproject.toml, *.csproj, composer.json. The decision: which language reference to open.
Also note how the process starts (a Dockerfile ENTRYPOINT, a Kubernetes pod spec, a systemd unit), because that is
where the agent attaches and where the environment variables must be set.
| Runtime | Reference | How EDOT attaches |
|---|---|---|
| Java | references/java.md | -javaagent: flag or JAVA_TOOL_OPTIONS |
| Python | references/python.md | opentelemetry-instrument entrypoint wrapper |
| .NET | references/dotnet.md | builder.AddElasticOpenTelemetry() in startup |
| PHP | references/php.md | native extension via OS package, then full process restart |
For a language not listed, follow the same shape — the required configuration and the following verification step are language-independent — and use the upstream EDOT SDK documentation for the attach mechanism.
Detect a classic Elastic APM agent. The decision: instrument path or migrate path. Each language reference lists
the markers; the common ones are ELASTIC_APM_* environment variables and a language-specific Elastic APM package.
If any marker is present, take the migrate path — do not layer EDOT on top.
Resolve the telemetry destination. The decision: which URL goes in OTEL_EXPORTER_OTLP_ENDPOINT. Two valid
answers, and one common wrong one:
apm-server, ends in port 8200, or has an
/intake/v2/events path, it is the classic ingest endpoint and EDOT cannot use it. On the migrate path this is the
single most common mistake — the old ELASTIC_APM_SERVER_URL value must not be carried over.Apply the shared configuration below, then the language reference. The shared rules are the same for every runtime; the reference covers only what is language-specific.
Verify. Do not report success from the configuration alone — run the verification process.
Identical across every EDOT SDK. Set exactly three environment variables:
| Variable | Value |
|---|---|
OTEL_SERVICE_NAME | The service's name. This becomes service.name in Elasticsearch and is how every other Observability skill finds it. |
OTEL_EXPORTER_OTLP_ENDPOINT | The managed OTLP endpoint or EDOT Collector URL resolved in step 3. |
OTEL_EXPORTER_OTLP_HEADERS | The credential, in Authorization=ApiKey <key> or Authorization=Bearer <token> form. |
Two rules that hold for every language:
OTEL_TRACES_EXPORTER, OTEL_METRICS_EXPORTER, or OTEL_LOGS_EXPORTER. The defaults are already
correct. Setting them is the usual reason a service reports traces but no metrics or logs.Run this after every instrument or migrate change, and as the entry point when a user reports that an instrumented service is missing. Give the pipeline a minute or two after the deployment restarts before concluding anything.
Confirm documents are landing for the service. Query POST /_query, scoping to the service name that was set in
OTEL_SERVICE_NAME. The decision: is anything arriving at all, and across which signals.
FROM traces-*,metrics-*,logs-* METADATA _index
| WHERE @timestamp > NOW() - 15 minutes AND service.name == "<service>"
| STATS docs = COUNT(*), last_seen = MAX(@timestamp) BY _index
| SORT docs DESC
| LIMIT 20A healthy result has rows from a traces data stream, a metrics data stream, and a logs data stream, with last_seen
inside the last minute or two. Missing signals are diagnostic, not cosmetic: traces only, with no metrics or logs,
usually means an OTEL_*_EXPORTER variable was set.
If nothing came back, find out what name the service is reporting under. An empty result is ambiguous between "no
telemetry at all" and "telemetry arriving under a different name" — a typo in OTEL_SERVICE_NAME, or the SDK default
of unknown_service. Drop the service filter and look at what is actually arriving.
FROM traces-*,metrics-*,logs-*
| WHERE @timestamp > NOW() - 15 minutes
| STATS docs = COUNT(*), last_seen = MAX(@timestamp) BY service.name
| SORT docs DESC
| LIMIT 25The decision: if the service appears under an unexpected name, fix OTEL_SERVICE_NAME. If it does not appear at all,
the exporter is not reaching the destination — go back to step 3 of the routing process and re-check the endpoint and
credential.
Confirm EDOT is the reporter, not something else. This is what distinguishes a correct migration from a half-finished one, and vanilla OpenTelemetry from EDOT.
FROM traces-*
| WHERE @timestamp > NOW() - 15 minutes AND service.name == "<service>"
| STATS spans = COUNT(*) BY telemetry.sdk.language, telemetry.sdk.name, telemetry.distro.name, telemetry.distro.version
| SORT spans DESC
| LIMIT 10telemetry.distro.name is elastic when an EDOT SDK is reporting. A null distro with
telemetry.sdk.name == "opentelemetry" means the application is on the upstream OpenTelemetry SDK rather than EDOT.
Two rows for one service — one with the Elastic distro and one without, or two different telemetry.sdk.language
values — means more than one agent is attached, or an old deployment is still running.
Diagnose from the shape of the result.
| Verification result | Most likely cause |
|---|---|
| No rows for the service, and the name is absent everywhere | Exporter never reached the destination — wrong endpoint or bad credential |
| Service appears under a different name | OTEL_SERVICE_NAME unset or misspelled; SDK fell back to its default |
| Traces only, no metrics or logs | An OTEL_*_EXPORTER variable was set and overrode the default |
Rows present but last_seen is stale | The process exited, or the deployment was rolled back |
| Two distro values for one service | Classic agent and EDOT both attached, or an old replica still running |
If the field names above are absent from the mapping, confirm what is available with GET /<index>/_mapping before
concluding the telemetry is wrong.
"Add observability to my Spring Boot service" — read pom.xml to confirm Java, check for co.elastic.apm and
ELASTIC_APM_* markers, and finding none, take the instrument path in references/java.md. Add the -javaagent flag
to the container entrypoint, set the three environment variables against the managed OTLP endpoint, then run the
verification query and report which signals arrived.
"We're moving off the Elastic APM agent to EDOT, we're on .NET" — this is the migrate path. Remove the
Elastic.Apm.* packages, the AddAllElasticApm() call, and the ElasticApm block from appsettings.json in the same
change that adds Elastic.OpenTelemetry and builder.AddElasticOpenTelemetry(). Translate the configuration rather
than copying it — in particular do not reuse ELASTIC_APM_SERVER_URLS as the OTLP endpoint. Verify with step 3 and
confirm exactly one distro is reporting.
"I instrumented my Python app but nothing shows up in Elastic" — start at the verification process, not at the
configuration. Run step 1; if it is empty, run step 2 to see whether the service is reporting under a different name. If
the service is absent entirely, the two candidates are an unwrapped entrypoint (opentelemetry-instrument missing) and
an endpoint still pointing at APM Server. Check the entrypoint first — it is the more common of the two.
"Our service sends traces but we have no logs or metrics" — this is the OTEL_*_EXPORTER signature. Confirm it with
step 1, which will show a traces data stream and nothing else, then remove the OTEL_TRACES_EXPORTER,
OTEL_METRICS_EXPORTER, or OTEL_LOGS_EXPORTER variable from the deployment and re-verify.
ELASTIC_APM_SERVER_URL points at APM Server;
OTEL_EXPORTER_OTLP_ENDPOINT must point at the managed OTLP endpoint or an EDOT Collector.OTEL_* tuning is occasionally justified, but the exporter
variables specifically should be left at their defaults.OTEL_EXPORTER_OTLP_HEADERS belongs in the
deployment's secret mechanism.apm-agent-devs team.| HTTP API (shorthand) | elastic CLI command |
|---|---|
GET / | elastic es info |
POST /_query | elastic es esql query --format tsv --query '<esql>' |
GET /<index>/_mapping | elastic es indices get-mapping --index '<index>' |
© elastic, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (references) in skills/observability/onboarding of elastic/agent-skills.
Open the folder on GitHubat commit baa5111
Observability Onboarding next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Observability Onboarding this skillelastic/agent-skills | 592 | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | |
| UModel Root Cause Analysisalibaba/UnifiedModel | 412 | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| OpenTelemetry Pipeline Metrics Speccomet-ml/opik | 22k | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| Exploring Apm TracesPostHog/posthog | 40k | — | ~3.5k | Automated safety check: Pass | Custom licence | |
| Logfire Instrumentationbasicmachines-co/basic-memory | 4.1k | — | ~2.3k | Automated safety check: Pass | AGPL-3.0 | |
| Developing Funboost Mixinydf0509/funboost | 892 | — | ~2.1k | Automated safety check: Pass | None |
alibaba/UnifiedModel
Investigates a service incident to its root cause by querying a UModel object graph alongside metrics, logs, topology and recent deployments.
comet-ml/opik
Specifies how to instrument an opik-backend pipeline with per-stage OpenTelemetry metrics for throughput, latency, errors and queue delay by workspace.
PostHog/posthog
Investigates distributed application performance using PostHog APM (OpenTelemetry span) data via MCP.
basicmachines-co/basic-memory
Adds Pydantic Logfire tracing, logging and metrics to Python, JavaScript or TypeScript and Rust projects, with the correct setup order and library extras.
ydf0509/funboost
当需要为 funboost 创建 Consumer 或 Publisher 的 Mixin 扩展类时使用。触发场景:添加监控、熔断、限流、链路追踪等横切关注点,编写自定义前置/后置处理钩子。关键词:mixin, consumeroverridecls, publisheroverridecls, ConsumerMixin, 自定义消费者, hook, 拦截器, 熔断器, 监控…
archestra-ai/archestra
A skill your agent uses when changing Archestra tracing, metrics, OpenTelemetry, Tempo, Grafana, Prometheus, LLM/MCP spans, observability labels, or local observability setup.
elastic/agent-skills
Triage Elastic Security alerts — gather context, classify threats, create cases, and acknowledge.
elastic/agent-skills
Create, search, update, and manage SOC cases via the Kibana Cases API.
elastic/agent-skills
Create, tune, and manage Elastic Security detection rules (SIEM and Endpoint).
elastic/agent-skills
Create and manage Kibana Dashboards and Lens visualizations.
elastic/agent-skills
Generate sample security events, attack scenarios, and synthetic alerts for Elastic Security.
elastic/agent-skills
Onboard an Elastic Cloud organization: configure the elastic CLI's Cloud context and API key, establish a default region, then invite users, assign predefined or custom Serverless project roles, and…
Works with
Categories
Onboard an application into Elastic Observability with the Elastic Distribution of OpenTelemetry (EDOT): route on language and runtime, detect and replace a classic Elastic APM agent, apply the…. Observability Onboarding is an agent skill from elastic/agent-skills, published by the product's own GitHub organization. Onboard an application into Elastic Observability with the Elastic Distribution of OpenTelemetry (EDOT): route on language and runtime, detect and replace a classic Elastic APM agent, apply the required OTLP configuration, and then verify with ES|QL that traces, metrics, and logs actually arrive under the expected service name.
Observability Onboarding fits situations like: adding observability to a service; migrating off the classic Elastic APM agent; debugging why an instrumented service is not showing up in Elastic.
Run `npx skills add elastic/agent-skills --skill observability-onboarding -a claude-code`. Or copy the skill folder (skills/observability/onboarding in elastic/agent-skills) into .claude/skills/observability-onboarding in your project. Claude Code loads it when a task matches its description.
Run `npx skills add elastic/agent-skills --skill observability-onboarding -a codex`. Or copy the skill folder (skills/observability/onboarding in elastic/agent-skills) into .agents/skills/observability-onboarding in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add elastic/agent-skills --skill observability-onboarding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/observability-onboarding, .gemini/skills/observability-onboarding, .github/skills/observability-onboarding and .opencode/skills/observability-onboarding in your project.
SKILL.md names no scripts, command-line tools or credentials: Observability Onboarding is instructions for the agent only. Our summary lists: Python 3. Compatibility (from SKILL.md): Requires the `elastic` CLI (>= 0.2) with an Elasticsearch context for the verification step, and an OTLP destination reachable from the application — either the Elastic managed OTLP endpoint or an EDOT Collector. ES|QL verification requires Elasticsearch 8.11 or later. Covers Java, Python, .NET, and PHP runtimes. .
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Observability Onboarding is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Observability Onboarding: UModel Root Cause Analysis (alibaba/UnifiedModel, 412 stars), OpenTelemetry Pipeline Metrics Spec (comet-ml/opik, 22k stars), Exploring Apm Traces (PostHog/posthog, 40k stars) and Logfire Instrumentation (basicmachines-co/basic-memory, 4.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
elastic (a GitHub organization, an official publisher) maintains it in elastic/agent-skills, which has 592 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 7, 2026.
Source: elastic/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.