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Monitor Lindy AI agent health, task success rates, and credit consumption.
Passed 16 of 22 test cases with the skill, and 6 of 22 without it.
and 12 more in the full report
10 fixed6 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
When constructing an in-Lindy monitoring agent to alert on failures from production agents, what target Slack channel and message variables should be used for critical failure notifications?
| Checked | Without skill | With skill |
|---|---|---|
| #ops-alerts | Missed | Passed |
| embeds task error details inside the notification payload | Passed | Passed |
The instructions your model reads when the skill loads.
Monitor Lindy AI agent execution health, task completion rates, step-level failures, trigger frequency, and credit consumption. Lindy provides built-in task history in the dashboard. External observability requires webhook callbacks, the Task Completed trigger, and application-side metrics collection.
| Signal | Source | Why It Matters |
|---|---|---|
| Task completion rate | Tasks tab / callback | Measures agent reliability |
| Task duration | Task detail view | Tracks performance over time |
| Step failure rate | Task detail (red steps) | Identifies broken actions |
| Credit consumption | Billing dashboard | Budget tracking |
| Trigger frequency | Task count over time | Detects trigger storms |
| Agent error rate | Failed tasks / total tasks | Overall health indicator |
Lindy's Tasks tab provides per-agent monitoring:
Use Lindy's built-in Task Completed trigger to build an observability agent:
test cases passed, vs 6 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.