Skip to content

GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking on) on Write a blameless postmortem from a timeline + chat export (automated rubric)

OGPT-6.1 Soldefault · thinking on · Codex CLI 0.163.0 (codex exec --json) · cloud · 2026-10-22 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.04
Wall time
45s
Human step-ins
0
Outcome
Pass

Compare with other models on this task →

Summary

Exact prompt

# Task: write a blameless postmortem Using ONLY `inputs/timeline.csv` and `inputs/chat_export.txt`, write `postmortem.md` (400–700 words) with these exact H2 sections in this order: `## Summary`, `## Impact`, `## Timeline`, `## Root cause`, `## Detection`, `## What went well`, `## What went wrong`, `## Action items`. Requirements: blameless (no individual is blamed; do not name the person who left), state durations and numbers exactly as in the sources (compute duration yourself), action items as a list each with an owner ROLE (not a person's name) and a due-date placeholder `TBD`. Do not invent facts or numbers. No network.

Checks exact numbers/duration, section order, blamelessness (departed employee not named), role-based action items, and NO invented numbers — a common failure for fluent models. Original benchmark task written for usecaserank.com. Headless, offline run on a reproducible fixture. Cost shown is a list-price API-equivalent estimate (run on a ChatGPT subscription, not billed).

Success criteria: 1. Exactly these H2 sections in this order: Summary, Impact, Timeline, Root cause, Detection, What went well, What went wrong, Action items. 2. 400–700 words. 3. States the correct incident duration (as hours+minutes or total minutes), and both the start and end times from the sources. 4. States the exact failed-payment count and affected-customer count from the sources. 5. Root cause section mentions an expired certificate; Detection section mentions customers/tweets/support and the alert/threshold problem. 6. Blameless: the departed employee is not named; no 'fault', 'blame', 'careless', 'negligent' wording. 7. At least 4 action-item bullets, every one containing 'TBD', and no person names in the Action items section. 8. No invented numbers: every number in the text must appear in the source files (a few small integers are whitelisted).

Setup notes: Use Case Scout batch3 case c10-postmortem-rubric (offline fixture). Prepared with batch3/prepare.sh on the shared box; only TASK.md + starting files were copied to the agent machine, hidden key/tests stayed on the box. Prompt = TASK.md verbatim on stdin. Flags: --json -s workspace-write --skip-git-repo-check --ephemeral --ignore-user-config --ignore-rules -C <workdir>. Scored on the box with the scout's scorer: `python score.py WORKDIR`. Single run, no retries. User-level AGENTS.md (846 bytes, sha256 83ec4fe50da8) may have been in context; --ignore-user-config does not document excluding it. Serving model not confirmed: requested via -m; the event log does not echo the serving model id. Price source is secondary (pricing.json verification='secondary', https://www.actuia.com/en/news/ai-api-pricing-in-october-2026-050-to-50-for-output/), not an official OpenAI price page. Score: 13/13 checks. Cost is an ESTIMATE: measured tokens x pricing.json list price (ChatGPT plan, nothing billed); input_tokens include cached reads; output_tokens include reasoning tokens. Tool calls 3 (1 failed, recovered). Single run.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost
$0.04
Wall time
45s
Human step-ins
0
Turns
1
Model usage
ModelInput tokOutput tokCost
OGPT-6.1 Solopenai/gpt-6.1-soleffort default (no reasoning-effort override) · thinking on65,8991,358$0.04

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: GPT-6.1 Sol (openai/gpt-6.1-sol, effort default (no reasoning-effort override) · thinking on) via Codex CLI 0.163.0 (codex exec --json), cloud.
  3. It counts as a success only if it meets every success criterion: 1. Exactly these H2 sections in this order: Summary, Impact, Timeline, Root cause, Detection, What went well, What went wrong, Action items. 2. 400–700 words. 3. States the correct incident duration (as hours+minutes or total minutes), and both the start and end times from the sources. 4. States the exact failed-payment count and affected-customer count from the sources. 5. Root cause section mentions an expired certificate; Detection section mentions customers/tweets/support and the alert/threshold problem. 6. Blameless: the departed employee is not named; no 'fault', 'blame', 'careless', 'negligent' wording. 7. At least 4 action-item bullets, every one containing 'TBD', and no person names in the Action items section. 8. No invented numbers: every number in the text must appear in the source files (a few small integers are whitelisted).
  4. Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.

How runs are scored: Methodology.

Was this useful?

⇄ Rerun on another model

Automated checks

Trust 80% comes from these checks (how Trust % works).

Evidence log
{"type": "thread.started", "thread_id": "01a1641d-b7d5-75a0-aaca-f60560e64041"}
{"type": "turn.started"}
{"type": "item.completed", "item": {"id": "item_0", "type": "agent_message", "text": "I\u2019ll read the two source files, calculate the incident duration, and write the postmortem with the required sections and role-owned action items.\n"}}
{"type": "item.started", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc 'cat inputs/timeline.csv inputs/chat_export.txt'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc 'cat inputs/timeline.csv inputs/chat_export.txt'", "aggregated_output": "time_utc,source,event\n2026-10-03 09:12,payments-api,first \"x509: certificate has expired\" errors calling gateway.paylink.example\n2026-10-03 09:12,metrics,payment success rate drops from 98.7% to 41%\n2026-10-03 09:31,social,first customer tweet: \"can't pay at checkout\"\n2026-10-03 09:38,support,support escalates to on-call (alert for success rate never fired: threshold misconfigured at <10%)\n2026-10-03 09:44,on-call,incident declared SEV-1; Priya Raman incident commander\n2026-10-03 10:05,on-call,root cause identified: client mTLS certificate for paylink expired at 09:12 (issued 2025-10-03, 1-year validity)\n2026-10-03 10:20,on-call,new cert issued via internal CA; deploy started\n2026-10-03 10:41,deploy,new cert rolled out to 100% of payments-api pods\n2026-10-03 10:47,metrics,payment success rate back to 98.6%\n2026-10-03 11:30,finance,2,314 failed payment attempts during the window; 1,870 customers affected; 612 retried successfully later the same day\n[09:45] Priya: taking IC. Tom can you look at payments-api logs?\n[09:52] Tom: lots of x509 errors to paylink. checking certs\n[10:03] Tom: client cert expired this morning. renewal was a manual calendar reminder owned by Sam who left in June\n[10:04] Priya: ok no blame, it's a process gap. who can issue a new one?\n[10:08] Lena: I can via internal CA, ~10 min\n[10:22] Lena: deploying\n[10:42] Tom: rollout done, success rate climbing\n[10:48] Priya: resolved. Good job everyone, the rollback-free fix was fast once we knew.\n[10:50] Priya: action items: automate cert renewal, add expiry monitoring 30 days ahead, fix success-rate alert threshold, assign owner for third-party certs\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc \"cat > postmortem.md <<'EOF'\n## Summary\n\nOn 2026-10-03, an expired client mTLS certificate disrupted payments-api calls to gateway.paylink.example. Payment success rate dropped from 98.7% to 41% at 09:12 UTC. The incident was declared SEV-1 at 09:44. A replacement certificate was issued through the internal CA and deployed, and payment success rate returned to 98.6% at 10:47. The window from the first errors to metric recovery lasted 1 hour 35 minutes. Resolution was confirmed in chat at 10:48.\n\n## Impact\n\nFinance reported 2,314 failed payment attempts during the window and 1,870 customers affected. Of those customers, 612 retried successfully later the same day. The first customer tweet reporting an inability to pay at checkout appeared at 09:31. The sources do not establish the outcome for the remaining affected customers or quantify financial losses.\n\n## Timeline\n\nAll times below are UTC on 2026-10-03.\n\n- 09:12: The client certificate expired; payments-api began reporting \u201cx509: certificate has expired\u201d errors. Payment success rate fell from 98.7% to 41%.\n- 09:31: The first customer tweet reported checkout payment failure.\n- 09:38: Support escalated to on-call. The payment success-rate alert had not fired.\n- 09:44: SEV-1 was declared and an incident commander was assigned.\n- 09:52: Chat reported repeated x509 errors and certificate investigation.\n- 10:03: Chat identified the expired client certificate; the timeline records root cause identification at 10:05.\n- 10:20: The timeline records issuance of a new certificate through the internal CA and deployment start. Chat reported deployment at 10:22.\n- 10:41: The new certificate reached 100% of payments-api pods. Chat reported rollout completion at 10:42.\n- 10:47: Payment success rate returned to 98.6%; chat confirmed resolution at 10:48.\n- 11:30: Finance reported failed attempts, affected customers, and successful later retries.\n\n## Root cause\n\nThe client mTLS certificate for paylink expired at 09:12. It had been issued on 2025-10-03 with 1-year validity. Renewal depended on a manual calendar reminder associated with an owner who had left the organization. This exposed a process gap in renewal continuity and certificate ownership. The failure was a system and process issue, rather than an individual failing.\n\n## Detection\n\nThe payment success-rate alert never fired because its threshold was misconfigured at <10%. The observed success rate of 41% did not cross that threshold. Support escalated 26 minutes after the first errors. Customer reporting and support escalation provided the route to on-call despite the missing automated alert.\n\n## What went well\n\nLog investigation surfaced x509 errors and led responders to the expired certificate. The internal CA provided a path to issue a replacement. The replacement reached all payments-api pods, and success rate recovered. Chat described the fix as rollback-free and explicitly treated the missed renewal as a process gap.\n\n## What went wrong\n\nManual renewal depended on ownership that had not remained effective after a departure. The misconfigured success-rate threshold failed to alert on the payment degradation. Recovery required issuing and rolling out a replacement after the certificate had already expired.\n\n## Action items\n\nThe following role assignments are proposed for the actions recorded in chat:\n\n- Automate certificate renewal. Owner ROLE: Platform Engineering. Due: TBD.\n- Add certificate expiry monitoring 30 days ahead. Owner ROLE: Site Reliability Engineering. Due: TBD.\n- Fix the payment success-rate alert threshold. Owner ROLE: Payments Engineering. Due: TBD.\n- Assign an owner for third-party certificates. Owner ROLE: Engineering Management. Due: TBD.\nEOF\npython - <<'PY'\nfrom pathlib import Path\nfrom datetime import datetime\np=Path('postmortem.md').read_text()\nexpected=['Summary','Impact','Timeline','Root cause','Detection','What went well','What went wrong','Action items']\nassert [x[3:] for x in p.splitlines() if x.startswith('## ')]==expected\nassert 400 <= len(p.split()) <=700\nassert 'Sam' not in p\nprint('Word count:',len(p.split()))\na=datetime.fromisoformat('2026-10-03 09:12'); b=datetime.fromisoformat('2026-10-03 10:47')\nprint('Incident duration:',b-a)\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc \"cat > postmortem.md <<'EOF'\n## Summary\n\nOn 2026-10-03, an expired client mTLS certificate disrupted payments-api calls to gateway.paylink.example. Payment success rate dropped from 98.7% to 41% at 09:12 UTC. The incident was declared SEV-1 at 09:44. A replacement certificate was issued through the internal CA and deployed, and payment success rate returned to 98.6% at 10:47. The window from the first errors to metric recovery lasted 1 hour 35 minutes. Resolution was confirmed in chat at 10:48.\n\n## Impact\n\nFinance reported 2,314 failed payment attempts during the window and 1,870 customers affected. Of those customers, 612 retried successfully later the same day. The first customer tweet reporting an inability to pay at checkout appeared at 09:31. The sources do not establish the outcome for the remaining affected customers or quantify financial losses.\n\n## Timeline\n\nAll times below are UTC on 2026-10-03.\n\n- 09:12: The client certificate expired; payments-api began reporting \u201cx509: certificate has expired\u201d errors. Payment success rate fell from 98.7% to 41%.\n- 09:31: The first customer tweet reported checkout payment failure.\n- 09:38: Support escalated to on-call. The payment success-rate alert had not fired.\n- 09:44: SEV-1 was declared and an incident commander was assigned.\n- 09:52: Chat reported repeated x509 errors and certificate investigation.\n- 10:03: Chat identified the expired client certificate; the timeline records root cause identification at 10:05.\n- 10:20: The timeline records issuance of a new certificate through the internal CA and deployment start. Chat reported deployment at 10:22.\n- 10:41: The new certificate reached 100% of payments-api pods. Chat reported rollout completion at 10:42.\n- 10:47: Payment success rate returned to 98.6%; chat confirmed resolution at 10:48.\n- 11:30: Finance reported failed attempts, affected customers, and successful later retries.\n\n## Root cause\n\nThe client mTLS certificate for paylink expired at 09:12. It had been issued on 2025-10-03 with 1-year validity. Renewal depended on a manual calendar reminder associated with an owner who had left the organization. This exposed a process gap in renewal continuity and certificate ownership. The failure was a system and process issue, rather than an individual failing.\n\n## Detection\n\nThe payment success-rate alert never fired because its threshold was misconfigured at <10%. The observed success rate of 41% did not cross that threshold. Support escalated 26 minutes after the first errors. Customer reporting and support escalation provided the route to on-call despite the missing automated alert.\n\n## What went well\n\nLog investigation surfaced x509 errors and led responders to the expired certificate. The internal CA provided a path to issue a replacement. The replacement reached all payments-api pods, and success rate recovered. Chat described the fix as rollback-free and explicitly treated the missed renewal as a process gap.\n\n## What went wrong\n\nManual renewal depended on ownership that had not remained effective after a departure. The misconfigured success-rate threshold failed to alert on the payment degradation. Recovery required issuing and rolling out a replacement after the certificate had already expired.\n\n## Action items\n\nThe following role assignments are proposed for the actions recorded in chat:\n\n- Automate certificate renewal. Owner ROLE: Platform Engineering. Due: TBD.\n- Add certificate expiry monitoring 30 days ahead. Owner ROLE: Site Reliability Engineering. Due: TBD.\n- Fix the payment success-rate alert threshold. Owner ROLE: Payments Engineering. Due: TBD.\n- Assign an owner for third-party certificates. Owner ROLE: Engineering Management. Due: TBD.\nEOF\npython - <<'PY'\nfrom pathlib import Path\nfrom datetime import datetime\np=Path('postmortem.md').read_text()\nexpected=['Summary','Impact','Timeline','Root cause','Detection','What went well','What went wrong','Action items']\nassert [x[3:] for x in p.splitlines() if x.startswith('## ')]==expected\nassert 400 <= len(p.split()) <=700\nassert 'Sam' not in p\nprint('Word count:',len(p.split()))\na=datetime.fromisoformat('2026-10-03 09:12'); b=datetime.fromisoformat('2026-10-03 10:47')\nprint('Incident duration:',b-a)\nPY\"", "aggregated_output": "/bin/bash: line 50: python: command not found\n", "exit_code": 127, "status": "failed"}}
{"type": "item.started", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nfrom pathlib import Path\nfrom datetime import datetime\np=Path('postmortem.md').read_text()\nassert [x[3:] for x in p.splitlines() if x.startswith('## ')]==['Summary','Impact','Timeline','Root cause','Detection','What went well','What went wrong','Action items']\nassert 400 <= len(p.split()) <=700\nassert 'Sam' not in p\nprint('Word count:',len(p.split()))\nprint('Duration:',datetime.fromisoformat('2026-10-03 10:47')-datetime.fromisoformat('2026-10-03 09:12'))\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nfrom pathlib import Path\nfrom datetime import datetime\np=Path('postmortem.md').read_text()\nassert [x[3:] for x in p.splitlines() if x.startswith('## ')]==['Summary','Impact','Timeline','Root cause','Detection','What went well','What went wrong','Action items']\nassert 400 <= len(p.split()) <=700\nassert 'Sam' not in p\nprint('Word count:',len(p.split()))\nprint('Duration:',datetime.fromisoformat('2026-10-03 10:47')-datetime.fromisoformat('2026-10-03 09:12'))\nPY\"", "aggregated_output": "Word count: 552\nDuration: 1:35:00\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_4", "type": "agent_message", "text": "Created [postmortem.md](postmortem.md) \u2014 552 words, with all eight required sections, verified duration, and role-owned action items with `TBD` due dates."}}
{"type": "turn.completed", "usage": {"input_tokens": 65899, "cached_input_tokens": 56832, "cache_write_input_tokens": 0, "output_tokens": 1358, "reasoning_output_tokens": 44}}

Get new runs and ranking changes weekly