getcargohq/cargo-skills5 files

Cargo Observability

Watch a Cargo workspace and get told when something breaks — scheduled threshold alerts over workflow telemetry (spans, runs, records), a storage model freshness or row count, or any SQL query, firing a connector, tool, or agent when a metric breaches. Triggers: \"alert me when\", \"notify me if\", \"let me know when the error rate\", \"monitor this workflow\", \"tell me if the sync stops\", \"warn me before I run out of credits\", \"dead man’s switch\", \"is this still running\", \"set up monitoring\", plus listing, previewing, editing, and reviewing an alert firing history. Skip when: diagnosing something that already went wrong — use cargo-diagnostics.

Specification
Skill ID
getcargohq/cargo-skills/cargo-observability
Publisher
getcargohq
Repository
cargo-skills
Installs
0
Files
5
Requires
Requires @cargo-ai/cli (npm). Sign in or create an account with `cargo-ai login --email` (emailed code, no browser), `--oauth`, or an API token
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

getcargohq/cargo-skills/cargo-observabilityInstalls these files
  • SKILL.md
  • references/alert-lifecycle.md
  • references/examples/recipes.md
  • references/scopes-and-thresholds.md
  • skill-metadata.json

What this skill tells the agent

Cargo CLI — Observability

Alerts. An alert is a scheduled threshold check. On every cron tick it measures a scope (what to watch), compares the measured value against a threshold (the breach condition), and on breach fires actions — each as its own run — and records an event. This is the proactive counterpart to cargo-diagnostics: diagnostics explains a failure after you notice it; an alert tells you the moment a metric crosses a line.

Everything lives under one CLI domain:

cargo-ai observability alert   …   # the alert CRUD + preview surface
cargo-ai observability event   …   # an alert's firing history

Bootstrap

Already signed in (cargo-ai whoami returns a workspace)? Skip to the next section.

npm install -g @cargo-ai/cli            # no global install? prefix every command with `npx @cargo-ai/cli`
cargo-ai login --email you@company.com  # emailed code, no browser; creates the account on first use
                                        # alternatives: --oauth (browser) · --token <api-token> (CI)
cargo-ai whoami                         # confirm the active workspace before any write

Every command prints JSON to stdout; failures exit non-zero with {"errorMessage": "..."}. Anything that creates a run or a batch is async — pass --wait-until-finished or poll the matching get. Alerts are guarded by observability:read / observability:write permissions. If a create/update/remove returns a permission error, the token lacks observability:write — use an admin token or have one granted (`../cargo-workspace-management/SKILL.md`). When the full skill bundle is installed, `../cargo/references/prerequisites.md` adds the CLI version pin, token scopes, and the admin-only surface.

The three moving parts of every alert

PartFlagWhat it is
Scope--scope <json>What to measure — one of six sources: spans, runs, records, orchestrationQuery, storageQuery, model.
Threshold--threshold <json>When it breaches — a metric + operator (gte/lte) + value. The metric menu depends on the scope.
Actions--actions <json>What happens on breach — an Action[] (connector / tool / agent / native nodes), each fired as its own run. Optional; omit for a silent alert whose breaches you read from its events.

The scope and threshold are a matched pair — a metric can only be computed over the scopes that produce it (e.g. errorRate needs telemetry, freshness needs a model). The full compatibility matrix, every metric's meaning and units, and every scope filter field are in [`references/scopes-and-thresholds.md`](references/scopes-and-thresholds.md) — read it before writing a --scope/--threshold pair you haven't used before.

The golden rule: preview before you create

alert preview evaluates a scope + threshold right now, without firing actions or writing an event. It returns the value the alert would measure and whether that value breaches — so you calibrate the threshold against reality instead of guessing, and you confirm the scope/threshold pairing is even valid before committing it to a schedule.

cargo-ai observability alert preview \
  --scope '{"kind":"runs","workflowUuid":"<uuid>","statuses":["error"]}' \
  --threshold '{"metric":"errorRate","operator":"gte","value":10}' \
  --window-minutes 1440          # last 24h; default 60
  • outcome: "computed" → { value, total, failed, isBreached }. Set your threshold from value.
  • outcome: "empty" → the window had nothing to measure (see the empty-vs-zero rule in references/alert-lifecycle.md).
  • outcome: "notComputed" → { errorMessage }. A bad SQL query, a deleted model, or an invalid scope/threshold pairing all land here — fix it before creating.

--window-minutes only shapes the window for telemetry scopes (spans/runs/records). A model is measured as it stands right now; a query scope windows itself in its SQL.

Always preview first. It is free, it is the only way to size a threshold correctly, and it catches an invalid pairing before it becomes a schedule that writes an error event every tick.

Commands

All commands output JSON. Reads need a token with observability:read; create/update/remove need observability:write (an admin token has both; a plain member token may not — see Bootstrap above).

Create an alert

cargo-ai observability alert create \
  --name "CRM sync error rate" \
  --description "Page when the HubSpot sync starts failing" \
  --cron "*/30 * * * *" \
  --scope '{"kind":"runs","workflowUuid":"<workflow-uuid>","statuses":["error"]}' \
  --threshold '{"metric":"errorRate","operator":"gte","value":10}' \
  --actions '[{"kind":"agent","agentUuid":"<agent-uuid>","config":{"message":"{{alert.name}} breached: {{event.value}}% errors. {{alert.url}}"}}]'
  • --cron — 5-field cron or @every <interval> (e.g. @every 30m), always UTC, at most once a minute. The UI presets bottom out at 30 minutes; go tighter only with reason (every tick scans ClickHouse and can fire paid runs).
  • --disabled — create it paused (evaluate nothing until you update --enabled true).
  • --folder <uuid> — file it under a folder (from cargo-workspace-management).
  • --actions — optional. Omit for a silent alert. Each entry is a configured action: unlike orchestration action execute, which carries no config at all, an alert action requires one — that is where the templated message lives. The config is templated against the firing context ({{alert.*}}, {{event.*}}) — see `references/alert-lifecycle.md` for the full variable list. Each action's target (agentUuid/toolUuid/connectorUuid) is validated to exist in the workspace at create time.

List, get, update, remove

cargo-ai observability alert list                      # all alerts, each with its lastEvent
cargo-ai observability alert get <uuid>                # one alert + its lastEvent

cargo-ai observability alert update --uuid <uuid> \
  --enabled false                                      # pause it (true/false — must be literal)
cargo-ai observability alert update --uuid <uuid> \
  --threshold '{"metric":"errorRate","operator":"gte","value":20}'   # raise the bar
cargo-ai observability alert update --uuid <uuid> \
  --description none                                    # "none" clears; --folder none unfiles

cargo-ai observability alert remove <uuid>

--enabled is strict: only the literal true or false are accepted — --enabled yes is rejected rather than silently disabling the alert. On update, any flag you omit is left unchanged; --description none / --folder none are the explicit "clear it" spellings.

Inspect firing history

cargo-ai observability event list <alertUuid>          # latest evaluation events, newest first

Each event carries status (healthy / unhealthy / error), the measured value, a snapshot of the scope/threshold/actions as they were when it fired (the alert can change afterwards), runUuids (the runs the actions spawned — feed these to cargo-diagnostics or orchestration run get), the evaluation window, and errorMessage for error events. unhealthy = breached and fired; error = the metric could not be computed.

How evaluation actually works

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