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Create and manage Kibana alerting rules. Use when creating, updating, or managing rule lifecycle (enable, disable, mute, snooze), choosing metric threshold rule types and params, or read-only find/list with tag filters.
Create and manage Kibana alerting rules. Use when creating, updating, or managing rule lifecycle (enable, disable, mute, snooze), choosing metric threshold rule types and params, or read-only find/list with tag filters.
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Create, inspect, update, and manage Kibana alerting rules: choose the right rule type, encode threshold and grouping semantics, attach actions only when requested, and list or filter rules read-only when the user asks to discover existing coverage.
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.
A rule has three parts: conditions (params + rule_type_id), schedule (how often conditions are checked), and
actions (optional connectors run when alerts fire). When conditions are met, the rule creates alerts; actions
deliver notifications through connectors. Do not create connectors or actions unless the user explicitly asks for
notification wiring — many tasks require only the rule definition.
Required privileges: all on the owning Kibana feature (Stack Rules, Observability, Security, etc.) and all on Rules
Settings. Managing connectors needs all on Actions and Connectors; read is sufficient to attach existing connectors
as rule actions.
On-premises prerequisite: configure a stable xpack.encryptedSavedObjects.encryptionKey in kibana.yml before
creating rules — it encrypts rule API keys and connector secrets. If it is unset, each restart regenerates it and breaks
existing rules; all Kibana nodes in a cluster must share the same key.
Classify the task. Decide whether the user needs to create a rule, find/list rules (read-only), update an existing rule, or perform a lifecycle change (enable, disable, mute, snooze, delete). If the user only asks to show or list rules, treat the request as read-only — do not create, update, enable, or delete anything.
For find/list tasks, filter and page sensibly. Call GET kbn:/api/alerting/rules/_find with query parameters
that narrow results instead of dumping every rule:
filter=alert.attributes.tags:"production" (KQL on saved-object attributes).search with search_fields and default_search_operator as needed.per_page and iterate page when results may exceed one page.sort_field=name and sort_order=asc for stable listings.Enumerate matching rule ids and names. If no rules match, say so plainly — do not invent results. Query alerting rules specifically, not connectors or streams.
For create tasks, choose the rule type before writing params. Match the user's intent to a metric/threshold rule type — not log, anomaly, or unrelated types:
.index-threshold with
consumer: "stackAlerts"..es-query with consumer: "stackAlerts".metrics.alert.threshold with consumer: "metrics" or
"infrastructure".Read rule-types-reference.md for param schemas, valid consumers, and action
groups. When the user specifies an index, field, threshold, duration, and grouping field, encode all four explicitly
in params — do not substitute a connector or action for the condition.
Encode threshold, duration, and grouping correctly. These three dimensions are independent:
User: "Alert me when CPU exceeds 90% on any host for 5 minutes. Query eval-alert-metrics (system.cpu.total.pct,
grouped by host.name). Create the rule with id eval-cpu-rule."
.index-threshold / stackAlerts.[0.9], five-minute timeWindowSize/timeWindowUnit, and groupBy/termField for
host.name.POST kbn:/api/alerting/rule/eval-cpu-rule with schedule.interval: "5m". Omit actions.GET kbn:/api/alerting/rule/eval-cpu-rule and confirm to the user.User: "Show me all production alerting rules."
GET kbn:/api/alerting/rules/_find with filter=alert.attributes.tags:"production", sensible per_page, and
sort_field=name.total exceeds per_page.User: "Disable rule abc123 until next Monday."
POST kbn:/api/alerting/rule/abc123/_disable.POST kbn:/api/alerting/rule/abc123/_enable.For planned downtime spanning multiple rules, prefer a maintenance window over disabling or snoozing each rule individually.
frequency inside each action object — rule-level notify_when and throttle are deprecated.rule_type_id and consumer are immutable after creation; delete and recreate to change them.kbn:/s/<space_id>/api/alerting/ for non-default Kibana Spaces (connectors are space-scoped too).alert_delay to require consecutive matches; use flapping settings to suppress unstable alerts. Per-rule tuning
via the flapping object is GA since 9.3; earlier versions support only space-level flapping settings.{{{.}}} in any template field — it renders the whole variable context as JSON, which
helps discover correct paths like {{context.reason}} or {{alert.flapping}}.consumer: "securitySolution"/"siem" belongs to the
dedicated Security Detections API (/api/detection_engine/rules), which has different rule type ids and lifecycle.production, staging, team names) for find API filtering.1m; expensive rules are cancelled after the server run timeout (default 5m).90 vs 0.9 on fractional CPU fields.name: kibana-alerting-rules description: > Create and manage Kibana alerting rules. Use when creating, updating, or managing rule lifecycle (enable, disable, mute, snooze), choosing metric threshold rule types and params, or read-only find/list with tag filters. metadata: author: elastic version: 0.3.0 universal: true compatibility: Kibana 8.x or 9.x with matching Elasticsearch, self-managed, Elastic Cloud Hosted, or Elastic Cloud Serverless; some rule types and features are version- or license-gated (for example, rule-level flapping is GA in 9.3). Requires the `elastic` CLI ≥ 0.2 with `stack kb` support.
---
name: kibana-alerting-rules
description: >
Create and manage Kibana alerting rules. Use when creating, updating, or managing
rule lifecycle (enable, disable, mute, snooze), choosing metric threshold rule types
and params, or read-only find/list with tag filters.
metadata:
author: elastic
version: 0.3.0
universal: true
compatibility: Kibana 8.x or 9.x with matching Elasticsearch, self-managed, Elastic
Cloud Hosted, or Elastic Cloud Serverless; some rule types and features are version-
or license-gated (for example, rule-level flapping is GA in 9.3). Requires the `elastic`
CLI ≥ 0.2 with `stack kb` support.
---
# Kibana Alerting Rules
Create, inspect, update, and manage Kibana alerting rules: choose the right rule type, encode threshold and grouping
semantics, attach actions only when requested, and list or filter rules read-only when the user asks to discover
existing coverage.
<!-- begin-partial: preamble -->
## Environment Configuration
This skill executes Elasticsearch operations through the `elastic` CLI. If the
[`elastic` CLI](https://github.com/elastic/cli#configuration) 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](#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 -->
## Core concepts
A rule has three parts: **conditions** (`params` + `rule_type_id`), **schedule** (how often conditions are checked), and
**actions** (optional connectors run when alerts fire). When conditions are met, the rule creates **alerts**; actions
deliver notifications through **connectors**. Do not create connectors or actions unless the user explicitly asks for
notification wiring — many tasks require only the rule definition.
Required privileges: `all` on the owning Kibana feature (Stack Rules, Observability, Security, etc.) and `all` on Rules
Settings. Managing connectors needs `all` on Actions and Connectors; `read` is sufficient to attach existing connectors
as rule actions.
**On-premises prerequisite:** configure a stable `xpack.encryptedSavedObjects.encryptionKey` in `kibana.yml` before
creating rules — it encrypts rule API keys and connector secrets. If it is unset, each restart regenerates it and breaks
existing rules; all Kibana nodes in a cluster must share the same key.
## Process
1. **Classify the task.** Decide whether the user needs to **create** a rule, **find/list** rules (read-only),
**update** an existing rule, or perform a **lifecycle** change (enable, disable, mute, snooze, delete). If the user
only asks to show or list rules, treat the request as read-only — do not create, update, enable, or delete anything.
2. **For find/list tasks, filter and page sensibly.** Call `GET kbn:/api/alerting/rules/_find` with query parameters
that narrow results instead of dumping every rule:
- **By tag:** `filter=alert.attributes.tags:"production"` (KQL on saved-object attributes).
- **By text:** `search` with `search_fields` and `default_search_operator` as needed.
- **Paging:** set `per_page` and iterate `page` when results may exceed one page.
- **Sort:** `sort_field=name` and `sort_order=asc` for stable listings.
Enumerate matching rule ids and names. If no rules match, say so plainly — do not invent results. Query alerting
rules specifically, not connectors or streams.
3. **For create tasks, choose the rule type before writing params.** Match the user's intent to a metric/threshold rule
type — not log, anomaly, or unrelated types:
- **Numeric metric over a time window, optionally per host/service** → `.index-threshold` with
`consumer: "stackAlerts"`.
- **Document count or Query DSL condition** → `.es-query` with `consumer: "stackAlerts"`.
- **Observability metric in the metrics app** → `metrics.alert.threshold` with `consumer: "metrics"` or
`"infrastructure"`.
Read [rule-types-reference.md](references/rule-types-reference.md) for param schemas, valid consumers, and action
groups. When the user specifies an index, field, threshold, duration, and grouping field, encode all four explicitly
in `params` — do not substitute a connector or action for the condition.
4. **Encode threshold, duration, and grouping correctly.** These three dimensions are independent:
- **Threshold:** set `threshold` and `thresholdComparator` on the aggregated value. Match field scale — ECS
`system.cpu.total.pct` is typically fractional (`0.9` for 90%); use `90` only when the field is on a 0–100 scale.
- **"For N minutes" semantics:** set `timeWindowSize` and `timeWindowUnit` in `params` (lookback evaluated each run).
Align `schedule.interval` with that window (e.g., both five minutes) so a brief spike does not fire on a mismatched
cadence. Add `alert_delay: {"active": N}` only when the user wants N **consecutive** matching runs, not a single
lookback window.
- **Per-host / per-entity grouping:** for `.index-threshold`, set `groupBy: "top"`, `termField` to the grouping field
(e.g., `host.name`), and a `termSize` large enough to cover all entities ("any host"). Without grouping, the rule
aggregates globally and will not alert per host.
5. **Build the create payload.** Required fields: `name`, `rule_type_id`, `consumer`, `schedule`, `params`. Optional:
`tags`, `enabled`, `actions`, `alert_delay`, `flapping`. Use the user-supplied rule id in the URL when given;
otherwise let Kibana generate one.
**Example params — CPU > 90% on any host for 5 minutes on `eval-alert-metrics`:**
```json
{
"name": "CPU exceeds 90% for 5 minutes",
"rule_type_id": ".index-threshold",
"consumer": "stackAlerts",
"schedule": { "interval": "5m" },
"params": {
"index": ["eval-alert-metrics"],
"timeField": "@timestamp",
"aggType": "avg",
"aggField": "system.cpu.total.pct",
"groupBy": "top",
"termField": "host.name",
"termSize": 1000,
"threshold": [0.9],
"thresholdComparator": ">",
"timeWindowSize": 5,
"timeWindowUnit": "m"
},
"tags": ["production"]
}
```
Omit `actions` when the user only asks to create the rule condition.
6. **Create and confirm.** Call `POST kbn:/api/alerting/rule/{id}` with the payload. On **409 Conflict**, the id already
exists — call `GET kbn:/api/alerting/rule/{id}` to inspect or choose a different id. After a successful create, call
`GET kbn:/api/alerting/rule/{id}` and confirm success to the user with the live rule id, name, and enabled state — do
not claim success without verifying on Kibana.
7. **For update tasks, read then replace.** `rule_type_id` and `consumer` are immutable. Call
`GET kbn:/api/alerting/rule/{id}`, merge intended changes, then `PUT kbn:/api/alerting/rule/{id}` with the
**complete** rule body. On **409 Conflict**, another user changed the rule — re-fetch and retry. Set per-action
`frequency` objects; rule-level `notify_when` and `throttle` are deprecated.
8. **For lifecycle tasks, call the narrowest endpoint.** Disable temporarily with
`POST kbn:/api/alerting/rule/{id}/_disable` (rule retains config); re-enable with
`POST kbn:/api/alerting/rule/{id}/_enable`. Mute all alerts with `POST kbn:/api/alerting/rule/{id}/_mute_all`;
restore with `POST kbn:/api/alerting/rule/{id}/_unmute_all`. Mute a single active alert with
`POST kbn:/api/alerting/rule/{rule_id}/alert/{alert_id}/_mute`; unmute with
`POST kbn:/api/alerting/rule/{rule_id}/alert/{alert_id}/_unmute`. Schedule snoozes with
`POST kbn:/api/alerting/rule/{id}/snooze_schedule`; remove with
`DELETE kbn:/api/alerting/rule/{ruleId}/snooze_schedule/{scheduleId}`. Delete permanently with
`DELETE kbn:/api/alerting/rule/{id}`. When a rule fails due to API key ownership, call
`POST kbn:/api/alerting/rule/{id}/_update_api_key`.
## Examples
### Create a threshold alert
User: "Alert me when CPU exceeds 90% on any host for 5 minutes. Query `eval-alert-metrics` (`system.cpu.total.pct`,
grouped by `host.name`). Create the rule with id `eval-cpu-rule`."
1. Choose `.index-threshold` / `stackAlerts`.
2. Encode fractional threshold `[0.9]`, five-minute `timeWindowSize`/`timeWindowUnit`, and `groupBy`/`termField` for
`host.name`.
3. `POST kbn:/api/alerting/rule/eval-cpu-rule` with `schedule.interval: "5m"`. Omit actions.
4. `GET kbn:/api/alerting/rule/eval-cpu-rule` and confirm to the user.
### Find rules by tag (read-only)
User: "Show me all production alerting rules."
1. `GET kbn:/api/alerting/rules/_find` with `filter=alert.attributes.tags:"production"`, sensible `per_page`, and
`sort_field=name`.
2. Page through results if `total` exceeds `per_page`.
3. Report ids and names only — no mutations.
### Pause a rule temporarily
User: "Disable rule `abc123` until next Monday."
1. `POST kbn:/api/alerting/rule/abc123/_disable`.
2. Re-enable later with `POST kbn:/api/alerting/rule/abc123/_enable`.
For planned downtime spanning multiple rules, prefer a maintenance window over disabling or snoozing each rule
individually.
## Guidelines
- Set `frequency` inside each action object — rule-level `notify_when` and `throttle` are deprecated.
- `rule_type_id` and `consumer` are immutable after creation; delete and recreate to change them.
- Prefix paths with `kbn:/s/<space_id>/api/alerting/` for non-default Kibana Spaces (connectors are space-scoped too).
- A rule action cannot reference a connector from a different space — the rule and its connectors must share one Space.
- Pair active notification actions with a **Recovered** action for PagerDuty, Jira, and ServiceNow.
- Use `alert_delay` to require consecutive matches; use flapping settings to suppress unstable alerts. Per-rule tuning
via the `flapping` object is GA since 9.3; earlier versions support only space-level flapping settings.
- Debug action templates with `{{{.}}}` in any template field — it renders the whole variable context as JSON, which
helps discover correct paths like `{{context.reason}}` or `{{alert.flapping}}`.
- Do **not** use this skill for Security detection rules: `consumer: "securitySolution"`/`"siem"` belongs to the
dedicated Security Detections API (`/api/detection_engine/rules`), which has different rule type ids and lifecycle.
- Tag rules consistently (`production`, `staging`, team names) for find API filtering.
- Minimum recommended check interval is `1m`; expensive rules are cancelled after the server run timeout (default `5m`).
## Common pitfalls
1. **Wrong rule type** — using a log or ML rule for a metric threshold condition.
2. **Missing per-entity grouping** — global aggregation when the user asked for "any host" or "per service".
3. **Threshold scale mismatch** — `90` vs `0.9` on fractional CPU fields.
4. **Duration conflated with schedule** — a one-minute schedule with a five-minute window behaves differently from both
set to five minutes.
5. **Unrequested actions** — attaching connectors when the user only asked to create the rule.
6. **Read-only violations** — creating or mutating rules when the user asked only to list or filter.
7. **Concurrent update conflicts** — PUT without a fresh GET returns 409.
8. **Import/export** — saved-object import disables rules and strips connector secrets.
## References
- [rule-types-reference.md](references/rule-types-reference.md) — Rule types, params, consumers, action groups
- [connectors-actions-terraform.md](references/connectors-actions-terraform.md) — Actions, workflows, Terraform
- [Kibana Alerting API](https://www.elastic.co/docs/api/doc/kibana/group/endpoint-alerting)
- [AlertiSkill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
74/100
Strong
Trust
60/100
Sandbox only
Audit
77/100
Needs review
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 74,
"label": "Strong"
},
"supply": {
"track": "Coding and developer agents",
"scenario": "GitHub automation",
"maintenance": "4d since push",
"risk": "Needs review"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"Delete/destructive rule lifecycle operations are mentioned, but the excerpt does not explicitly require user confirmation before executing deletes.",
"No OpenAgentSkill engagement data yet",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"The skill depends on the external `elastic` CLI being installed and configured; this is clearly stated but remains an operational dependency."
],
"agent_contract": {
"task_input": "Use kibana-alerting-rules in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 68/100 Manual review",
"Audit: 77/100 Needs review",
"Safety: 29/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "elastic-kibana-alerting-rules (kibana-alerting-rules)",
"install_command": "npx skills add elastic/agent-skills --skill kibana-alerting-rules",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "elastic-kibana-alerting-rules",
"task": "Use kibana-alerting-rules in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/elastic-kibana-alerting-rules",
"api": "https://www.openagentskill.com/api/agent/skills/elastic-kibana-alerting-rules",
"audit": "https://www.openagentskill.com/skills/elastic-kibana-alerting-rules/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=elastic-kibana-alerting-rules&task=Use%20kibana-alerting-rules%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20kibana-alerting-rules%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20kibana-alerting-rules%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/elastic-kibana-alerting-rules/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/elastic-kibana-alerting-rules"
}
}Listing source
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threshold and thresholdComparator on the aggregated value. Match field scale — ECS
system.cpu.total.pct is typically fractional (0.9 for 90%); use 90 only when the field is on a 0–100 scale.timeWindowSize and timeWindowUnit in params (lookback evaluated each run).
Align schedule.interval with that window (e.g., both five minutes) so a brief spike does not fire on a mismatched
cadence. Add alert_delay: {"active": N} only when the user wants N consecutive matching runs, not a single
lookback window..index-threshold, set groupBy: "top", termField to the grouping field
(e.g., host.name), and a termSize large enough to cover all entities ("any host"). Without grouping, the rule
aggregates globally and will not alert per host.Build the create payload. Required fields: name, rule_type_id, consumer, schedule, params. Optional:
tags, enabled, actions, alert_delay, flapping. Use the user-supplied rule id in the URL when given;
otherwise let Kibana generate one.
Example params — CPU > 90% on any host for 5 minutes on eval-alert-metrics:
{
"name": "CPU exceeds 90% for 5 minutes",
"rule_type_id": ".index-threshold",
"consumer": "stackAlerts",
"schedule": { "interval": "5m" },
"params": {
"index": ["eval-alert-metrics"],
"timeField": "@timestamp",
"aggType": "avg",
"aggField": "system.cpu.total.pct",
"groupBy": "top",
"termField": "host.name",
"termSize": 1000,
"threshold": [0.9],
"thresholdComparator": ">",
"timeWindowSize": 5,
"timeWindowUnit": "m"
},
"tags": ["production"]
}
Omit actions when the user only asks to create the rule condition.
Create and confirm. Call POST kbn:/api/alerting/rule/{id} with the payload. On 409 Conflict, the id already
exists — call GET kbn:/api/alerting/rule/{id} to inspect or choose a different id. After a successful create, call
GET kbn:/api/alerting/rule/{id} and confirm success to the user with the live rule id, name, and enabled state — do
not claim success without verifying on Kibana.
For update tasks, read then replace. rule_type_id and consumer are immutable. Call
GET kbn:/api/alerting/rule/{id}, merge intended changes, then PUT kbn:/api/alerting/rule/{id} with the
complete rule body. On 409 Conflict, another user changed the rule — re-fetch and retry. Set per-action
frequency objects; rule-level notify_when and throttle are deprecated.
For lifecycle tasks, call the narrowest endpoint. Disable temporarily with
POST kbn:/api/alerting/rule/{id}/_disable (rule retains config); re-enable with
POST kbn:/api/alerting/rule/{id}/_enable. Mute all alerts with POST kbn:/api/alerting/rule/{id}/_mute_all;
restore with POST kbn:/api/alerting/rule/{id}/_unmute_all. Mute a single active alert with
POST kbn:/api/alerting/rule/{rule_id}/alert/{alert_id}/_mute; unmute with
POST kbn:/api/alerting/rule/{rule_id}/alert/{alert_id}/_unmute. Schedule snoozes with
POST kbn:/api/alerting/rule/{id}/snooze_schedule; remove with
DELETE kbn:/api/alerting/rule/{ruleId}/snooze_schedule/{scheduleId}. Delete permanently with
DELETE kbn:/api/alerting/rule/{id}. When a rule fails due to API key ownership, call
POST kbn:/api/alerting/rule/{id}/_update_api_key.
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.