[
  {
    "prompt": "Hello Timmy. We need you to check on the autolora initiative. Where are we at with that?",
    "chosen": "Let me pull up what we've got on autolora from both the skill and past sessions.",
    "session": "session_20260323_163733_239823.json"
  },
  {
    "prompt": "Review the conversation above and consider saving or updating a skill if appropriate.\n\nFocus on: was a non-trivial approach used to complete a task that required trial and error, or changing course due to experiential findings along the way, or did the user expect or desire a different method or outcome?\n\nIf a relevant skill already exists, update it with what you learned. Otherwise, create a new skill if the approach is reusable.\nIf nothing is worth saving, just say 'Nothing to save.' and stop.",
    "chosen": "Let me review what happened in this session and check the existing skill.\n\nThe session was a status check on the AutoLoRA initiative. The approach was:\n\n1. Load the existing skill + search past sessions\n2. Check Gitea issues (had to try multiple URL patterns before falling back to API)\n3. Verify infrastructure files exist on disk\n4. Check session DB stats, export CLI, env vars, Ollama models\n\nThe skill already documents the infrastructure paths and pipeline steps well. But I did learn a few things worth patching:\n\n1. The old Gitea issues (#1102, #1104, #1105) are gone \u2014 cleaned up in the stale PR purge\n2. Session count is now 3,367 (skill said 1856 files / 233MB \u2014 outdated)\n3. The `hermes sessions stats` command works but needs to be called as `hermes sessions stats` (not `python -m hermes sessions stats`)\n4. OPENROUTER_API_KEY is a real blocker that's easy to miss\n5. The skill says \"1856 files, 233MB\" for session JSONL files \u2014 that's stale. The real data is in state.db (179MB, 3367 sessions), with only 2 legacy JSONL files remaining.\n\nLet me update the skill with these findings.",
    "session": "session_20260323_163733_239823.json"
  }
]