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Implement disaster recovery strategies and runbooks. Configure RPO/RTO targets and failover procedures.
Passed 22 of 25 test cases with the skill, and 19 of 25 without it.
and 2 more in the full report
4 fixed18 passed either way2 still failing1 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.
Could you structure a YAML disaster recovery matrix that categorizes our systems into tiers ranging from mission-critical services down to non-essential development tools? For each tier, outline recommended RTO and RPO objectives, appropriate replication strategies (like active-active or pilot light), and required testing schedules.
| Checked | Without skill | With skill |
|---|---|---|
| Specifies an RTO target under 15 minutes for Tier 1 critical services | Missed | Passed |
| Specifies an RTO target under 1 hour for Tier 2 essential services | Missed | Passed |
| Assigns quarterly testing frequency to Tier 1 critical services | Passed | Passed |
The instructions your model reads when the skill loads.
Implement disaster recovery strategies including RTO/RPO planning, AWS cross-region failover patterns, DR testing procedures, and automated failover scripts.
recovery_metrics:
RTO:
definition: "Recovery Time Objective - maximum acceptable downtime"
measurement: "From incident declaration to service restoration"
factors:
- Failover automation maturity
- Data replication lag
- DNS propagation time
- Application warm-up time
- Verification procedures
RPO:
definition: "Recovery Point Objective - maximum acceptable data loss"
measurement: "Time gap between last good backup and the incident"
factors:
- Backup frequency
- Replication method (sync vs. async)
- Transaction log shipping interval
- Cross-region replication lag
service_tier_targets:
tier_1_critical:
examples: "Authentication, payment processing, core API"
rto: "< 15 minutes"
rpo: "< 1 minute (near-zero)"
test cases passed, vs 19 / 25 without
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