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azure-monitor-alert-baseline

Probes Azure Monitor metric alert rules in a resource-group scope against one of three published baselines (foundry_pilot, spoke_minimum, production), returning a spec §4.3.1 sibling-skill dict with finding_id "SRE-104", observations, remediation hints, confidence, and never raises. USE FOR: threadlight SRE-104 sibling-skill flip, alert baseline audit before pilot handover, alert rule drift detection in a Foundry RG, observability readiness probe, post-deploy alert configuration check, threshold tightness validation against published baselines, baselined alert rule audit, monitoring baseline check. DO NOT USE FOR: creating or updating alert rules — use az monitor metrics alert create instead; DO NOT USE FOR: App Insights traces or logs — use foundry-observability; DO NOT USE FOR: Azure Service Health alerts — different API surface; DO NOT USE FOR: log alerts (Log Analytics scheduled query rules) — metric alerts only.

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aiappsgbb/awesome-gbb
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18. August 2026 um 17:06
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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
azure-monitor-alert-baseline
description
Probes Azure Monitor metric alert rules in a resource-group scope against one of three published baselines (foundry_pilot, spoke_minimum, production), returning a spec §4.3.1 sibling-skill dict with finding_id "SRE-104", observations, remediation hints, confidence, and never raises. USE FOR: threadlight SRE-104 sibling-skill flip, alert baseline audit before pilot handover, alert rule drift detection in a Foundry RG, observability readiness probe, post-deploy alert configuration check, threshold tightness validation against published baselines, baselined alert rule audit, monitoring baseline check. DO NOT USE FOR: creating or updating alert rules — use az monitor metrics alert create instead; DO NOT USE FOR: App Insights traces or logs — use foundry-observability; DO NOT USE FOR: Azure Service Health alerts — different API surface; DO NOT USE FOR: log alerts (Log Analytics scheduled query rules) — metric alerts only.
metadata
{"version":"1.0.1"}
# azure-monitor-alert-baseline Peer skill that probes Azure Monitor metric alert rules at a resource-group scope against one of three published baselines, returning a structured `SRE-104` finding. It wraps `MonitorManagementClient` via `DefaultAzureCredential` and never raises — errors are captured in the returned dict. Threadlight v0.5.3+ consumes this as the SRE-104 sibling-skill check in its `threadlight-production-ready` OBS-203 gate. ## When to use - **Threadlight OBS-203 sibling-skill flip** — threadlight's apply-plan reasoner calls `probe()` directly to satisfy the OBS-203 → SRE-104 check (`kind: sibling-skill`), advancing a pilot handover from manual to automated. - **Pre-pilot observability review** of a Foundry-adjacent resource group — confirms the correct alert rules are configured and thresholds are within the baseline's prescribed maximums before spoke onboarding. - **Scheduled CI drift check** — detects alert rule removal or threshold relaxation after a deployment; runnable as a CI step with no interactive auth. ## When NOT to use - **Creating or modifying alert rules** — use `az monitor metrics alert create` / `az monitor metrics alert update` directly. - **App Insights traces, logs, or availability tests** — use the `foundry-observability` skill for that surface. - **Azure Service Health alerts or activity log alerts** — those use a different ARM API (`Microsoft.Insights/activityLogAlerts`) and are not covered by this probe. ## Probe contract The probe returns a dict matching the design spec §4.3.1 sibling-skill contract. Signature and shape are stable across `1.x` releases: | Field | Type | Notes | |---------------------|-------------------------------------------|------------------------------------------------| | `finding_id` | str | Always literal `"SRE-104"` | | `scope` | dict (sub_id, rg, alert_baseline_kind) | Nested; not a string | | `result` | enum `ok` / `needs_attention` / `errored` | Never anything else | | `observations` | list[dict] | Empty when `result == "ok"` | | `remediation_hints` | list[str] | Empty when observations empty | | `confidence` | 0.0 / 0.5 / 1.0 | See Confidence heuristic below | | `probed_at` | ISO-8601 UTC with `Z` | tz-aware | | `error` | str \| None | `None` on success; `"<Type>: <msg>"` on errored | **Never raises.** Any Azure exception or `ValueError` (unknown baseline kind) is caught and surfaced via `result["error"]` with `result["result"] = "errored"` and `confidence = 0.0`. ### Confidence heuristic The catalog-wide §4.3.1 confidence convention (documented here so threadlight's apply-plan reasoning is reproducible): - `1.0` — probe completed AND `len(live_alerts) >= 1` (at least one metric alert exists in the RG, whether or not it matches the baseline). - `0.5` — probe completed AND `len(live_alerts) == 0` (ambiguous: either no alerts configured, or RBAC-masked enumeration returned empty). - `0.0` — probe raised internally and was caught. ### Observation rows Each observation row has exactly one of two shapes (no others): | Shape | Fields | |------------------------|--------------------------------------------------------------------| | `kind: missing` | `alert_name` (str), `severity` (int), `max_threshold` (float) | | `kind: threshold_mismatch` | `alert_name` (str), `expected` (float), `actual` (float) | `result == "needs_attention"` whenever one or more `missing` or `threshold_mismatch` observations exist. `result == "ok"` when the observation list is empty. ### Baseline kinds `alert_baseline_kind` must be one of the three YAML stems in `references/baselines/`: | Kind | File | Alert count | Notes | |-----------------|-----------------------|-------------|------------------------------------------------------------------------| | `foundry_pilot` | `foundry_pilot.yaml` | 5 | HighErrorRate, LowAvailability + TokenRateSpike, RAIDenialSpike, HostedAgentInvokeError | | `spoke_minimum` | `spoke_minimum.yaml` | 3 | BasicErrorRate, ChatCompletion401Spike, ChatCompletionLatencyP95 | | `production` | `production.yaml` | 6 | HighErrorRate (sev 1), LowAvailability, HighLatencyP99 + TokenThrottle429Rate, CostPerHourSpike, EmbeddingErrorRate | Any other value raises `ValueError("unknown alert_baseline_kind: …")` inside `_load_baseline`, which is caught and surfaced as `result == "errored"`. ## Probe Reference > **MUST:** Read the canonical probe at > [`references/python/probe.py`](references/python/probe.py). Do NOT > re-paste its body here — the validator enforces single-source-of-truth. ## CLI ```bash cd skills/azure-monitor-alert-baseline/references/python mkdir -p out python __main__.py \ --subscription-id <sub-id> \ --resource-group <rg> \ --alert-baseline-kind foundry_pilot ``` Result is printed to stdout as JSON. The manifest is also written to `out/SRE-104.json` (relative to CWD). Same-finding-ID writes overwrite the prior manifest by design — threadlight reads the file by the literal finding-id filename. Authentication uses `DefaultAzureCredential` (env-var → managed identity → Azure CLI → interactive browser). The caller must hold `Microsoft.Insights/metricAlerts/read` at the target RG scope; Reader at the RG is sufficient. ## Threadlight integration Threadlight v0.5.3+ consumes this probe for the SRE-104 sibling-skill flip (`kind: sibling-skill`), advancing the OBS-203 gate from `kind: manual` to `kind: sibling-skill`. It calls `probe()` directly (no CLI subprocess) with `alert_baseline_kind` passed by keyword. The manifest file at `out/SRE-104.json` is the cross-process handoff for threadlight's apply-plan reasoner. ## Known limitations (v1.0.0) - Only **metric alerts** are checked. Log alerts (Log Analytics scheduled query rules via `Microsoft.Insights/scheduledQueryRules`) are NOT covered. v1.1.0 can add them if asked. - Only **RG scope** is supported. Subscription scope and management-group audits are intentionally excluded — the threadlight use case is spoke-RG-bounded. - **Alert action group routing** (who gets paged) is NOT validated. Use a separate AGT probe if needed. ## See also - [Threadlight `threadlight-production-ready` OBS-203 → SRE-104 sibling-skill flip](https://github.com/aiappsgbb/threadlight-skills/blob/main/skills/threadlight-production-ready/references/sibling-skills-map.md) - [`azure-mgmt-monitor` SDK docs](https://learn.microsoft.com/python/api/azure-mgmt-monitor/) - [AGENTS.md §4.3.1 sibling-skill probe contract](../../AGENTS.md) (for catalog maintainers)
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