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Build dashboards, alerts, and monitoring systems for email sending operations.
Passed 19 of 22 test cases with the skill, and 15 of 22 without it.
and 2 more in the full report
4 fixed15 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write a SQL query to identify which recipient email domains produce the highest number of bounces over the last 24 hours from a table named `delivery_events` with columns `recipient_email`, `event_type`, `is_soft`, and `occurred_at`.
| Checked | Without skill | With skill |
|---|---|---|
| The SQL query extracts the domain part of recipient_email using string splitting functions. | Missed | Passed |
| The query filters for bounced events occurring within the last 24 hours. | Passed | Passed |
The instructions your model reads when the skill loads.
Set up the dashboards, alerts, and monitoring systems that tell you when something is wrong with your email sending before your recipients (or providers) tell you.
sender-reputation - understanding the reputation signals you're monitoringbounce-handling - processing the bounces that feed your monitoring metricswebhook-processing - receiving the delivery events that power your dashboardsrate-limiting - volume controls that monitoring should trackdomain-authentication - authentication failures that monitoring should catchsuppression-lists - suppression growth is a key metric to watchNot all email metrics deserve equal attention. These are the ones that predict deliverability problems before they become crises, ordered by how urgently you should respond.
| Metric | Healthy | Warning | Critical | Why it matters |
|---|---|---|---|---|
| Spam complaint rate | < 0.1% | 0.1-0.3% | > 0.3% | Gmail and Yahoo enforce 0.3% as a hard limit. Exceeding it triggers throttling within hours. |
| Hard bounce rate | < 0.5% | 0.5-2% | > 2% | Signals list quality problems. Providers treat persistent high bounce rates as a spam indicator. |
| Authentication failure rate | 0% | > 0% | > 1% | Any SPF/DKIM/DMARC failure means messages are being rejected or spam-foldered. Should be zero. |
| Blocklist presence | Not listed | - | Listed on any major list | A single Spamhaus SBL listing can drop delivery rates by 90% within hours. |
test cases passed, vs 15 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.