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Production incident response.
Passed 19 of 23 test cases with the skill, and 10 of 23 without it.
and 11 more in the full report
9 fixed10 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
We have raw timestamped log events in `events.json`. We need to run a CLI script to construct a chronological timeline that automatically identifies phase transitions and pinpoints missing log periods. Which script command from our tools should be executed?
| Checked | Without skill | With skill |
|---|---|---|
| The response specifies using timeline_reconstructor.py. | Missed | Passed |
| The response includes the --gap-analysis flag in the command. | Missed | Passed |
| The response includes the --detect-phases flag in the command. | Missed | Passed |
The instructions your model reads when the skill loads.
Classify incident severity, reconstruct timelines from heterogeneous event sources, and generate structured post-incident reviews with root cause analysis and action items. Codifies PagerDuty, Google SRE, and Atlassian incident-management practices into severity scoring, escalation matrices, communication templates, RCA frameworks, and SLA/error-budget tracking.
Before producing the artifact, confirm these inputs. If any is unknown or vague, ASK — do not assume:
severity_classifier.py vs timeline_reconstructor.py vs pir_generator.py/postmortem_generator.py)pir_generator.py --rca-method and the postmortem structure)Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
| Tool | Purpose | Command |
|---|---|---|
incident_classifier.py | Classify severity, recommend response teams and comms templates | python scripts/incident_classifier.py --input incident.json --format text |
severity_classifier.py | Multi-dimensional severity score with escalation path | python scripts/severity_classifier.py incident.json --format markdown |
timeline_reconstructor.py | Reconstruct timeline from timestamped events with phase + gap analysis | python scripts/timeline_reconstructor.py --input events.json --detect-phases --gap-analysis --format markdown |
incident_timeline_builder.py | Build structured timeline with MTTD/MTTR and comms templates | python scripts/incident_timeline_builder.py incident_data.json --format markdown |
pir_generator.py | Generate Post-Incident Review with RCA and action items | python scripts/pir_generator.py --incident incident.json --rca-method fishbone --action-items |
postmortem_generator.py | Generate postmortem with 5-Whys, benchmarks, coverage gaps | python scripts/postmortem_generator.py incident_data.json --format markdown |
test cases passed, vs 10 / 23 without
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