{"type":"tool.execution_complete","timestamp":"2026-08-06T08:48:05.284Z","data":{"toolName":"bash","mcpServerName":"","success":true,"result":{"content":"[info] [github] Bridge invoked: argumentCount=1\n[info] [github] Calling tool 'get_file_contents' (81 argument bytes)\n[info] [github] MCP initialize: POST http://awmg-mcpg:8080/mcp/github\n[info] [github] MCP initialize: status=200, sessionId=YIJTHUK7..., elapsed=47ms\n[info] [github] MCP notifications/initialized\n[info] [github] MCP notifications/initialized: done (5ms)\n[info] [github] MCP keepalive started (interval=10000ms)\n[info] [github] MCP tools/call: tool=get_file_contents, argumentBytes=81\n[info] [github] MCP tools/call: status=200, elapsed=966ms\n[info] [github] MCP keepalive stopped\n[info] [github] Tool call complete: total=1018ms\n[{\"content\":[{\"text\":\"successfully downloaded text file (SHA: e2d471da90a647f4d28755ee4df4ff400f7cbccb)\",\"type\":\"text\"},{\"resource\":{\"mimeType\":\"text/plain; charset=utf-8\",\"text\":\"{\\n \\\"counts\\\": {\\n \\\"prompt_style\\\": {\\n \\\"concise\\\": 25,\\n \\\"detailed\\\": 31\\n }\\n },\\n \\\"runs\\\": [\\n {\\n \\\"run_id\\\": \\\"25921071141\\\",\\n \\\"timestamp\\\": \\\"2026-05-15T13:42:42.607Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26039294297\\\",\\n \\\"timestamp\\\": \\\"2026-05-18T14:18:52.681Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26102490772\\\",\\n \\\"timestamp\\\": \\\"2026-05-19T14:06:06.219Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26167459371\\\",\\n \\\"timestamp\\\": \\\"2026-05-20T13:59:44.684Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26231385912\\\",\\n \\\"timestamp\\\": \\\"2026-05-21T14:11:49.146Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26291902777\\\",\\n \\\"timestamp\\\": \\\"2026-05-22T13:54:05.792Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26404705225\\\",\\n \\\"timestamp\\\": \\\"2026-05-25T14:09:39.199Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26453310774\\\",\\n \\\"timestamp\\\": \\\"2026-05-26T14:09:00.292Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26516944112\\\",\\n \\\"timestamp\\\": \\\"2026-05-27T14:18:06.444Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26580631209\\\",\\n \\\"timestamp\\\": \\\"2026-05-28T14:22:07.685Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": 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\\\"timestamp\\\": \\\"2026-06-15T15:12:53.945Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"27626122812\\\",\\n \\\"timestamp\\\": \\\"2026-06-16T14:48:26.624Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"27695773930\\\",\\n \\\"timestamp\\\": \\\"2026-06-17T14:20:09.910Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"27765426610\\\",\\n \\\"timestamp\\\": \\\"2026-06-18T14:10:48.205Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"27830765941\\\",\\n \\\"timestamp\\\": \\\"2026-06-19T14:12:55.650Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"27962308708\\\",\\n \\\"timestamp\\\": \\\"2026-06-22T15:02:39.759Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28031625914\\\",\\n \\\"timestamp\\\": \\\"2026-06-23T13:57:50.805Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28103385019\\\",\\n \\\"timestamp\\\": \\\"2026-06-24T13:50:22.529Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28174916347\\\",\\n \\\"timestamp\\\": \\\"2026-06-25T13:49:44.361Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28242275073\\\",\\n \\\"timestamp\\\": \\\"2026-06-26T13:49:48.278Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28379520402\\\",\\n \\\"timestamp\\\": \\\"2026-06-29T14:30:40.520Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28449133786\\\",\\n \\\"timestamp\\\": \\\"2026-06-30T13:46:24.080Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28522653907\\\",\\n \\\"timestamp\\\": \\\"2026-07-01T13:53:26.837Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28594598746\\\",\\n \\\"timestamp\\\": \\\"2026-07-02T13:41:18.840Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28664325768\\\",\\n \\\"timestamp\\\": \\\"2026-07-03T13:41:15.986Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28798224262\\\",\\n \\\"timestamp\\\": \\\"2026-07-06T14:16:16.630Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28871338128\\\",\\n \\\"timestamp\\\": \\\"2026-07-07T13:50:19.588Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28947181867\\\",\\n \\\"timestamp\\\": \\\"2026-07-08T13:41:10.814Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29023541469\\\",\\n \\\"timestamp\\\": \\\"2026-07-09T14:00:19.382Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29097237663\\\",\\n \\\"timestamp\\\": \\\"2026-07-10T13:46:22.894Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29255205040\\\",\\n \\\"timestamp\\\": \\\"2026-07-13T13:48:20.680Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29337460883\\\",\\n \\\"timestamp\\\": \\\"2026-07-14T13:40:47.654Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29420168624\\\",\\n \\\"timestamp\\\": \\\"2026-07-15T13:40:44.888Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29503225543\\\",\\n \\\"timestamp\\\": \\\"2026-07-16T13:41:16.364Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29584817945\\\",\\n \\\"timestamp\\\": \\\"2026-07-17T13:40:17.595Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29747383800\\\",\\n \\\"timestamp\\\": \\\"2026-07-20T13:42:37.728Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29835521206\\\",\\n \\\"timestamp\\\": \\\"2026-07-21T13:41:11.008Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29924982064\\\",\\n \\\"timestamp\\\": \\\"2026-07-22T13:41:36.004Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30012298950\\\",\\n \\\"timestamp\\\": \\\"2026-07-23T13:42:54.513Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30097822706\\\",\\n \\\"timestamp\\\": \\\"2026-07-24T13:41:08.705Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30272484021\\\",\\n \\\"timestamp\\\": \\\"2026-07-27T13:54:55.914Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30364692312\\\",\\n \\\"timestamp\\\": \\\"2026-07-28T13:42:31.497Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30457232302\\\",\\n \\\"timestamp\\\": \\\"2026-07-29T13:43:06.216Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30548066957\\\",\\n \\\"timestamp\\\": \\\"2026-07-30T13:42:29.650Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30635519963\\\",\\n \\\"timestamp\\\": \\\"2026-07-31T13:43:23.399Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n }\\n ]\\n}\\n\",\"uri\":\"repo://github/gh-aw/sha/bdee0154d5d6667bcd08f10f859721b91338a002/contents/state.json\"},\"type\":\"resource\"}]}]\n[info] [github] Tool output: 10368 chars\n<shellId: 12 completed with exit code 0>","detailedContent":"[info] [github] Bridge invoked: argumentCount=1\n[info] [github] Calling tool 'get_file_contents' (81 argument bytes)\n[info] [github] MCP initialize: POST http://awmg-mcpg:8080/mcp/github\n[info] [github] MCP initialize: status=200, sessionId=YIJTHUK7..., elapsed=47ms\n[info] [github] MCP notifications/initialized\n[info] [github] MCP notifications/initialized: done (5ms)\n[info] [github] MCP keepalive started (interval=10000ms)\n[info] [github] MCP tools/call: tool=get_file_contents, argumentBytes=81\n[info] [github] MCP tools/call: status=200, elapsed=966ms\n[info] [github] MCP keepalive stopped\n[info] [github] Tool call complete: total=1018ms\n[{\"content\":[{\"text\":\"successfully downloaded text file (SHA: e2d471da90a647f4d28755ee4df4ff400f7cbccb)\",\"type\":\"text\"},{\"resource\":{\"mimeType\":\"text/plain; charset=utf-8\",\"text\":\"{\\n \\\"counts\\\": {\\n \\\"prompt_style\\\": {\\n \\\"concise\\\": 25,\\n \\\"detailed\\\": 31\\n }\\n },\\n \\\"runs\\\": [\\n {\\n \\\"run_id\\\": \\\"25921071141\\\",\\n \\\"timestamp\\\": \\\"2026-05-15T13:42:42.607Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26039294297\\\",\\n \\\"timestamp\\\": \\\"2026-05-18T14:18:52.681Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26102490772\\\",\\n \\\"timestamp\\\": \\\"2026-05-19T14:06:06.219Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26167459371\\\",\\n \\\"timestamp\\\": \\\"2026-05-20T13:59:44.684Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26231385912\\\",\\n \\\"timestamp\\\": \\\"2026-05-21T14:11:49.146Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26291902777\\\",\\n \\\"timestamp\\\": \\\"2026-05-22T13:54:05.792Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26404705225\\\",\\n \\\"timestamp\\\": \\\"2026-05-25T14:09:39.199Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26453310774\\\",\\n \\\"timestamp\\\": \\\"2026-05-26T14:09:00.292Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26516944112\\\",\\n \\\"timestamp\\\": \\\"2026-05-27T14:18:06.444Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26580631209\\\",\\n \\\"timestamp\\\": \\\"2026-05-28T14:22:07.685Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26642126926\\\",\\n \\\"timestamp\\\": \\\"2026-05-29T14:10:18.469Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26763964773\\\",\\n \\\"timestamp\\\": \\\"2026-06-01T15:17:37.899Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26826658574\\\",\\n \\\"timestamp\\\": \\\"2026-06-02T14:33:00.207Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26892161804\\\",\\n \\\"timestamp\\\": \\\"2026-06-03T14:40:52.456Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"26957051267\\\",\\n \\\"timestamp\\\": \\\"2026-06-04T14:09:38.529Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"27019467922\\\",\\n \\\"timestamp\\\": \\\"2026-06-05T14:03:56.791Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"27144821464\\\",\\n \\\"timestamp\\\": \\\"2026-06-08T14:32:29.555Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"27211278155\\\",\\n \\\"timestamp\\\": \\\"2026-06-09T13:58:33.146Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"27282424044\\\",\\n \\\"timestamp\\\": \\\"2026-06-10T14:13:38.605Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"27353804923\\\",\\n \\\"timestamp\\\": \\\"2026-06-11T14:25:13.935Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"27421008521\\\",\\n \\\"timestamp\\\": \\\"2026-06-12T14:10:15.266Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"27556067590\\\",\\n \\\"timestamp\\\": \\\"2026-06-15T15:12:53.945Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"27626122812\\\",\\n \\\"timestamp\\\": \\\"2026-06-16T14:48:26.624Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"27695773930\\\",\\n \\\"timestamp\\\": \\\"2026-06-17T14:20:09.910Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"27765426610\\\",\\n \\\"timestamp\\\": \\\"2026-06-18T14:10:48.205Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"27830765941\\\",\\n \\\"timestamp\\\": \\\"2026-06-19T14:12:55.650Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"27962308708\\\",\\n \\\"timestamp\\\": \\\"2026-06-22T15:02:39.759Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28031625914\\\",\\n \\\"timestamp\\\": \\\"2026-06-23T13:57:50.805Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28103385019\\\",\\n \\\"timestamp\\\": \\\"2026-06-24T13:50:22.529Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28174916347\\\",\\n \\\"timestamp\\\": \\\"2026-06-25T13:49:44.361Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28242275073\\\",\\n \\\"timestamp\\\": \\\"2026-06-26T13:49:48.278Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28379520402\\\",\\n \\\"timestamp\\\": \\\"2026-06-29T14:30:40.520Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28449133786\\\",\\n \\\"timestamp\\\": \\\"2026-06-30T13:46:24.080Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28522653907\\\",\\n \\\"timestamp\\\": \\\"2026-07-01T13:53:26.837Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28594598746\\\",\\n \\\"timestamp\\\": \\\"2026-07-02T13:41:18.840Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28664325768\\\",\\n \\\"timestamp\\\": \\\"2026-07-03T13:41:15.986Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28798224262\\\",\\n \\\"timestamp\\\": \\\"2026-07-06T14:16:16.630Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28871338128\\\",\\n \\\"timestamp\\\": \\\"2026-07-07T13:50:19.588Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"28947181867\\\",\\n \\\"timestamp\\\": \\\"2026-07-08T13:41:10.814Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29023541469\\\",\\n \\\"timestamp\\\": \\\"2026-07-09T14:00:19.382Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29097237663\\\",\\n \\\"timestamp\\\": \\\"2026-07-10T13:46:22.894Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29255205040\\\",\\n \\\"timestamp\\\": \\\"2026-07-13T13:48:20.680Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29337460883\\\",\\n \\\"timestamp\\\": \\\"2026-07-14T13:40:47.654Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29420168624\\\",\\n \\\"timestamp\\\": \\\"2026-07-15T13:40:44.888Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29503225543\\\",\\n \\\"timestamp\\\": \\\"2026-07-16T13:41:16.364Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29584817945\\\",\\n \\\"timestamp\\\": \\\"2026-07-17T13:40:17.595Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29747383800\\\",\\n \\\"timestamp\\\": \\\"2026-07-20T13:42:37.728Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29835521206\\\",\\n \\\"timestamp\\\": \\\"2026-07-21T13:41:11.008Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29924982064\\\",\\n \\\"timestamp\\\": \\\"2026-07-22T13:41:36.004Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30012298950\\\",\\n \\\"timestamp\\\": \\\"2026-07-23T13:42:54.513Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30097822706\\\",\\n \\\"timestamp\\\": \\\"2026-07-24T13:41:08.705Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30272484021\\\",\\n \\\"timestamp\\\": \\\"2026-07-27T13:54:55.914Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30364692312\\\",\\n \\\"timestamp\\\": \\\"2026-07-28T13:42:31.497Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30457232302\\\",\\n \\\"timestamp\\\": \\\"2026-07-29T13:43:06.216Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30548066957\\\",\\n \\\"timestamp\\\": \\\"2026-07-30T13:42:29.650Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30635519963\\\",\\n \\\"timestamp\\\": \\\"2026-07-31T13:43:23.399Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n }\\n ]\\n}\\n\",\"uri\":\"repo://github/gh-aw/sha/bdee0154d5d6667bcd08f10f859721b91338a002/contents/state.json\"},\"type\":\"resource\"}]}]\n[info] [github] Tool output: 10368 chars\n<shellId: 12 completed with exit code 0>","contents":[{"type":"shell_exit","shellId":"12","exitCode":0,"outputTruncated":false,"cwd":"/home/runner/work/gh-aw/gh-aw","outputPreview":"[info] [github] Bridge invoked: argumentCount=1\n[info] [github] Calling tool 'get_file_contents' (81 argument bytes)\n[info] [github] MCP initialize: POST http://awmg-mcpg:8080/mcp/github\n[info] [github] MCP initialize: status=200, sessionId=YIJTHUK7..., elapsed=47ms\n[info] [github] MCP notifications/initialized\n[info] [github] MCP notifications/initialized: done (5ms)\n[info] [github] MCP keepalive started (interval=10000ms)\n[info] [github] MCP tools/call: tool=get_file_contents, argumentBytes=81\n[info] [github] MCP tools/call: status=200, elapsed=966ms\n[info] [github] MCP keepalive stopped\n[info] [github] Tool call complete: total=1018ms\n[{\"content\":[{\"text\":\"successfully downloaded text file (SHA: e2d471da90a647f4d28755ee4df4ff400f7cbccb)\",\"type\":\"text\"},{\"resource\":{\"mimeType\":\"text/plain; 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\\\"2026-07-15T13:40:44.888Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29503225543\\\",\\n \\\"timestamp\\\": \\\"2026-07-16T13:41:16.364Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29584817945\\\",\\n \\\"timestamp\\\": \\\"2026-07-17T13:40:17.595Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29747383800\\\",\\n \\\"timestamp\\\": \\\"2026-07-20T13:42:37.728Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29835521206\\\",\\n \\\"timestamp\\\": \\\"2026-07-21T13:41:11.008Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"29924982064\\\",\\n \\\"timestamp\\\": \\\"2026-07-22T13:41:36.004Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30012298950\\\",\\n \\\"timestamp\\\": \\\"2026-07-23T13:42:54.513Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30097822706\\\",\\n \\\"timestamp\\\": \\\"2026-07-24T13:41:08.705Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30272484021\\\",\\n \\\"timestamp\\\": \\\"2026-07-27T13:54:55.914Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30364692312\\\",\\n \\\"timestamp\\\": \\\"2026-07-28T13:42:31.497Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30457232302\\\",\\n \\\"timestamp\\\": \\\"2026-07-29T13:43:06.216Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"detailed\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30548066957\\\",\\n \\\"timestamp\\\": \\\"2026-07-30T13:42:29.650Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n },\\n {\\n \\\"run_id\\\": \\\"30635519963\\\",\\n \\\"timestamp\\\": \\\"2026-07-31T13:43:23.399Z\\\",\\n \\\"assignments\\\": {\\n \\\"prompt_style\\\": \\\"concise\\\"\\n }\\n }\\n ]\\n}\\n\",\"uri\":\"repo://github/gh-aw/sha/bdee0154d5d6667bcd08f10f859721b91338a002/contents/state.json\"},\"type\":\"resource\"}]}]\n[info] [github] Tool output: 10368 chars\n"}]}}}
{"type":"assistant.message","timestamp":"2026-08-06T08:48:13.917Z","data":{"content":""}}
{"type":"tool.execution_start","timestamp":"2026-08-06T08:48:13.920Z","data":{"toolName":"bash","mcpServerName":"","command":"cd /home/runner/work/gh-aw/gh-aw/.github/workflows\nfor f in ab-testing-advisor.md agent-performance-analyzer.md agent-persona-explorer.md architecture-guardian.md audit-workflows.md aw-failure-investigator.md blog-auditor.md breaking-change-checker.md ci-coach.md copilot-agent-analysis.md daily-agentrx-trace-optimizer.md daily-architecture-diagram.md daily-astrostylelite-markdown-spellcheck.md daily-cache-strategy-analyzer.md daily-caveman-optimizer.md daily-code-metrics.md daily-community-attribution.md daily-compiler-quality.md daily-doc-healer.md daily-doc-updater.md daily-fact.md daily-issues-report.md daily-news.md daily-safe-output-optimizer.md daily-security-red-team.md daily-semgrep-scan.md dataflow-pr-discussion-dataset.md deep-report.md dependabot-go-checker.md gpclean.md issue-arborist.md plan.md smoke-copilot-aoai-apikey.md smoke-copilot-aoai-entra.md smoke-copilot-sub-agents.md smoke-copilot.md smoke-gemini.md smoke-project.md smoke-temporary-id.md test-quality-sentinel.md typist.md weekly-blog-post-writer.md; do\n awk '/^---$/{c++; next} c==1' \"$f\" | grep -q '^experiments:' && echo \"HAS: $f\"\ndone"}}
{"type":"tool.execution_complete","timestamp":"2026-08-06T08:48:14.092Z","data":{"toolName":"bash","mcpServerName":"","success":true,"result":{"content":"HAS: agent-performance-analyzer.md\nHAS: agent-persona-explorer.md\nHAS: architecture-guardian.md\nHAS: audit-workflows.md\nHAS: aw-failure-investigator.md\nHAS: blog-auditor.md\nHAS: breaking-change-checker.md\nHAS: ci-coach.md\nHAS: copilot-agent-analysis.md\nHAS: daily-agentrx-trace-optimizer.md\nHAS: daily-architecture-diagram.md\nHAS: daily-astrostylelite-markdown-spellcheck.md\nHAS: daily-cache-strategy-analyzer.md\nHAS: daily-caveman-optimizer.md\nHAS: daily-code-metrics.md\nHAS: daily-community-attribution.md\nHAS: daily-compiler-quality.md\nHAS: daily-doc-healer.md\nHAS: daily-doc-updater.md\nHAS: daily-fact.md\nHAS: daily-issues-report.md\nHAS: daily-news.md\nHAS: daily-safe-output-optimizer.md\nHAS: daily-security-red-team.md\nHAS: daily-semgrep-scan.md\nHAS: dataflow-pr-discussion-dataset.md\nHAS: deep-report.md\nHAS: dependabot-go-checker.md\nHAS: gpclean.md\nHAS: issue-arborist.md\nHAS: plan.md\nHAS: smoke-copilot-aoai-apikey.md\nHAS: smoke-copilot-aoai-entra.md\nHAS: smoke-copilot-sub-agents.md\nHAS: smoke-copilot.md\nHAS: smoke-gemini.md\nHAS: smoke-project.md\nHAS: smoke-temporary-id.md\nHAS: test-quality-sentinel.md\nHAS: typist.md\nHAS: weekly-blog-post-writer.md\n<shellId: 13 completed with exit code 0>","detailedContent":"HAS: agent-performance-analyzer.md\nHAS: agent-persona-explorer.md\nHAS: architecture-guardian.md\nHAS: audit-workflows.md\nHAS: aw-failure-investigator.md\nHAS: blog-auditor.md\nHAS: breaking-change-checker.md\nHAS: ci-coach.md\nHAS: copilot-agent-analysis.md\nHAS: daily-agentrx-trace-optimizer.md\nHAS: daily-architecture-diagram.md\nHAS: daily-astrostylelite-markdown-spellcheck.md\nHAS: daily-cache-strategy-analyzer.md\nHAS: daily-caveman-optimizer.md\nHAS: daily-code-metrics.md\nHAS: daily-community-attribution.md\nHAS: daily-compiler-quality.md\nHAS: daily-doc-healer.md\nHAS: daily-doc-updater.md\nHAS: daily-fact.md\nHAS: daily-issues-report.md\nHAS: daily-news.md\nHAS: daily-safe-output-optimizer.md\nHAS: daily-security-red-team.md\nHAS: daily-semgrep-scan.md\nHAS: dataflow-pr-discussion-dataset.md\nHAS: deep-report.md\nHAS: dependabot-go-checker.md\nHAS: gpclean.md\nHAS: issue-arborist.md\nHAS: plan.md\nHAS: smoke-copilot-aoai-apikey.md\nHAS: smoke-copilot-aoai-entra.md\nHAS: smoke-copilot-sub-agents.md\nHAS: smoke-copilot.md\nHAS: smoke-gemini.md\nHAS: smoke-project.md\nHAS: smoke-temporary-id.md\nHAS: test-quality-sentinel.md\nHAS: typist.md\nHAS: weekly-blog-post-writer.md\n<shellId: 13 completed with exit code 0>","contents":[{"type":"shell_exit","shellId":"13","exitCode":0,"outputTruncated":false,"cwd":"/home/runner/work/gh-aw/gh-aw","outputPreview":"HAS: agent-performance-analyzer.md\nHAS: agent-persona-explorer.md\nHAS: architecture-guardian.md\nHAS: audit-workflows.md\nHAS: aw-failure-investigator.md\nHAS: blog-auditor.md\nHAS: breaking-change-checker.md\nHAS: ci-coach.md\nHAS: copilot-agent-analysis.md\nHAS: daily-agentrx-trace-optimizer.md\nHAS: daily-architecture-diagram.md\nHAS: daily-astrostylelite-markdown-spellcheck.md\nHAS: daily-cache-strategy-analyzer.md\nHAS: daily-caveman-optimizer.md\nHAS: daily-code-metrics.md\nHAS: daily-community-attribution.md\nHAS: daily-compiler-quality.md\nHAS: daily-doc-healer.md\nHAS: daily-doc-updater.md\nHAS: daily-fact.md\nHAS: daily-issues-report.md\nHAS: daily-news.md\nHAS: daily-safe-output-optimizer.md\nHAS: daily-security-red-team.md\nHAS: daily-semgrep-scan.md\nHAS: dataflow-pr-discussion-dataset.md\nHAS: deep-report.md\nHAS: dependabot-go-checker.md\nHAS: gpclean.md\nHAS: issue-arborist.md\nHAS: plan.md\nHAS: smoke-copilot-aoai-apikey.md\nHAS: smoke-copilot-aoai-entra.md\nHAS: smoke-copilot-sub-agents.md\nHAS: smoke-copilot.md\nHAS: smoke-gemini.md\nHAS: smoke-project.md\nHAS: smoke-temporary-id.md\nHAS: test-quality-sentinel.md\nHAS: typist.md\nHAS: weekly-blog-post-writer.md\n"}]}}}
{"type":"assistant.message","timestamp":"2026-08-06T08:48:59.815Z","data":{"content":"This scope is large (40 workflows with active experiments). I'll delegate the full data-gathering, statistical analysis, chart generation, and report-posting to a background agent given the scale."}}
{"type":"tool.execution_start","timestamp":"2026-08-06T08:48:59.818Z","data":{"toolName":"task","mcpServerName":""}}
{"type":"subagent.started","timestamp":"2026-08-06T08:48:59.837Z","data":{"agentName":"general-purpose","agentDisplayName":"General Purpose Agent","toolCallId":"toolu_01CNdoMWcR3Gq2xh3hiVNXh9"}}
{"type":"tool.execution_complete","timestamp":"2026-08-06T08:48:59.849Z","data":{"toolName":"task","mcpServerName":"","success":true,"result":{"content":"Agent started in background with agent_id: daily-experiment-report. You'll be notified when it completes. Tell the user you're waiting and end your response, or continue unrelated work until notified. The agent supports multi-turn conversations — use write_agent to send follow-up messages.","detailedContent":"Prompt to general-purpose agent (daily-experiment-report):\nYou are producing a Daily Experiment Report for the github/gh-aw repository's agentic workflow A/B experiments. Follow the full instructions below precisely.\n\n## Context / Constraints\n- `gh` CLI is NOT authenticated in this sandbox — do NOT use `gh` for GitHub API reads.\n- The `gh aw experiments` CLI subcommand internally shells out to `gh api` and will fail with \"unknown flag: --repo\" / auth errors — do NOT rely on it for data; you must gather experiment data yourself via git branches and the GitHub MCP `github` CLI tool (see below).\n- Use `github get_file_contents` (invoked as: `printf '{\"owner\":\"github\",\"repo\":\"gh-aw\",\"path\":\"<path>\",\"ref\":\"<branch>\"}' | github get_file_contents .`) to read `state.json` (or `state.jsonl`) from each `experiments/<sanitized-workflow-id>` branch. This DOES work (verified) even without gh auth, since it goes through the read-only GitHub MCP server.\n- Use `github list_branches`, `github list_pull_requests`, `github list_issues`, `github search_issues` etc. (the read-only GitHub MCP CLI) for any other GitHub reads you need (e.g., reading workflow frontmatter via `get_file_contents` on `.github/workflows/<name>.md`, listing recent workflow runs — note: there is no direct \"list_workflow_runs\" tool exposed; check `github --help` and `github actions_list`/`github actions_get` for what's available. If you cannot get run conclusion/duration data for a workflow via the exposed MCP tools, note this as a limitation and proceed with what data is available from the `state.json` files (variant counts, run_ids, timestamps) — you can still compute balance (chi-square) statistics and sample-size progress even without outcome/duration data.\n- The local git repo at /home/runner/work/gh-aw/gh-aw has a working `origin` remote (https://github.com/github/gh-aw.git) that supports anonymous read access (git ls-remote / git fetch works without auth, verified). You may use `git ls-remote --heads origin` to list `experiments/*` branches, and `git fetch origin <branch> && git show origin/<branch>:state.json` (or clone shallow) to read state files as a fallback/cross-check to the MCP tool.\n- Python with pandas/matplotlib/scipy is available at /tmp/gh-aw/python — use it for statistics and chart generation per the instructions.\n- A pre-built `gh-aw` Go binary exists at /tmp/gh-aw/agent/gh-aw (built from source in this repo) but its `experiments` subcommand requires authenticated `gh api` access, which is NOT available. Do not rely on it — gather data manually as described above.\n\n## Workflows with active `experiments:` frontmatter (verified via grep in .github/workflows/*.md)\nagent-performance-analyzer.md, agent-persona-explorer.md, architecture-guardian.md, audit-workflows.md, aw-failure-investigator.md, blog-auditor.md, breaking-change-checker.md, ci-coach.md, copilot-agent-analysis.md, daily-agentrx-trace-optimizer.md, daily-architecture-diagram.md, daily-astrostylelite-markdown-spellcheck.md, daily-cache-strategy-analyzer.md, daily-caveman-optimizer.md, daily-code-metrics.md, daily-community-attribution.md, daily-compiler-quality.md, daily-doc-healer.md, daily-doc-updater.md, daily-fact.md, daily-issues-report.md, daily-news.md, daily-safe-output-optimizer.md, daily-security-red-team.md, daily-semgrep-scan.md, dataflow-pr-discussion-dataset.md, deep-report.md, dependabot-go-checker.md, gpclean.md, issue-arborist.md, plan.md, smoke-copilot-aoai-apikey.md, smoke-copilot-aoai-entra.md, smoke-copilot-sub-agents.md, smoke-copilot.md, smoke-gemini.md, smoke-project.md, smoke-temporary-id.md, test-quality-sentinel.md, typist.md, weekly-blog-post-writer.md\n\nGiven this is ~40 workflows, this is a LOT of data. To keep the report manageable and useful:\n- For each workflow, read its frontmatter (via `github get_file_contents` on the `.github/workflows/<name>.md` file, reading just the YAML frontmatter between the first two `---` lines) to extract: `experiments:` config (variant names/weights, name, hypothesis, min_samples, guardrail_metrics, analysis_type), `metric:`, `secondary_metrics:`, and `issue:` (tracking issue number) if present.\n- For each workflow, fetch `state.json` (or `.jsonl`) from branch `experiments/<sanitized-workflow-id>` (sanitized = lowercase, strip non-alphanumeric, e.g. `ci-coach` -> `experiments/cicoach`, `daily-cache-strategy-analyzer` -> `experiments/dailycachestrategyanalyzer`). Use `git ls-remote --heads origin | grep experiments/` (already run: full list available by re-running `git ls-remote --heads origin` in /home/runner/work/gh-aw/gh-aw) to get the exact branch name per workflow — match by best-effort sanitization if exact match not obvious.\n- Parse `counts` (per-experiment per-variant counts) and `runs` (run history with `run_id`, `timestamp`, `assignments`) from each state.json.\n- Compute for each experiment: n per variant, chi-square balance test (comparing observed counts to expected/declared weights or 50/50 if unweighted), p-value, is_balanced, min_samples progress bars, and recommendation (EXTEND if any variant below min_samples e.g. default 20, otherwise note READY_FOR_ANALYSIS but explain that without run outcome/duration data, full PROMOTE/ABANDON significance testing on success rate or duration cannot be computed — state this limitation clearly per experiment. If you ARE able to obtain run conclusion/duration data cheaply for a few representative experiments (e.g. via `github actions_list` or similar exposed tool), do the full analysis for those; otherwise it's fine to report balance-only stats for all 40 and flag \"insufficient run-outcome data\" as the limitation.\n- Given 40 experiments, it's fine and encouraged to generate detailed full sub-sections for a representative sample (e.g., 5-8 most interesting: those closest to reaching min_samples, those most imbalanced (lowest chi-square p-value), or those with lowest total_runs) and roll the rest up into a compact summary table with counts + balance p-value + recommendation only, to keep the report readable. Use judgment.\n- Generate at most 5 bar charts total (per the 5-chart upload limit) — e.g., success-rate/balance charts for the 2-4 most notable experiments, or one aggregate chart showing sample-size progress across all experiments. Save charts to /tmp/gh-aw/python/charts/ and upload each via `safeoutputs upload_asset` CLI (e.g. `safeoutputs upload_asset --path /tmp/gh-aw/python/charts/foo.png`) — check `safeoutputs upload_asset --help` for exact invocation syntax; it returns an asset URL to embed in the discussion body as markdown.\n\n## Statistical Rules\n- Use scipy.stats for chi-square (`scipy.stats.chisquare` or `chi2_contingency`) and any t-test / z-test calculations.\n- min_samples default = 20 per variant unless the workflow's `experiments:` frontmatter specifies otherwise.\n- Follow all formulas and recommendation rules in the full task instructions given in the system/user context (two-proportion z-test for success rate, Welch's t-test for duration, Bonferroni correction for 3+ variants, EXTEND/PROMOTE/ABANDON logic) wherever outcome data is available. Where outcome data is unavailable, clearly state \"balance-only analysis; no run-outcome data available\" instead of fabricating recommendations.\n- Do NOT fabricate success rates, durations, or p-values for data you could not actually retrieve. Only report statistics you actually computed from real state.json / API data.\n\n## Output — Step 7 equivalent: Create ONE GitHub Discussion\nUse the `safeoutputs` CLI tool `create_discussion` (check `safeoutputs create_discussion --help` for exact JSON schema) to create a single discussion with:\n- Title: `[experiments] Daily Experiment Report — <today's date YYYY-MM-DD>`\n- Category: audits (if the schema requires/accepts a category param)\n- Body following the structure in the full task instructions: h3 headers only, executive summary, quick stats table, per-experiment sections (use <details> for the representative deep-dive experiments), compact summary table for the rest, and a final note listing analysis limitations (e.g., \"run outcome/duration data was not available via read-only MCP tools; only variant-assignment balance statistics from git branch state were analyzed\").\n- Embed the uploaded chart asset URLs as markdown images.\n- Include a References section linking this run: https://github.com/github/gh-aw/actions/runs/31086066320\n\n## Step 8/9 — Tracking issue comments and labels\n- For each experiment whose frontmatter has an `issue:` field, if the experiment's all variants have reached min_samples (Condition A) or a guardrail clearly failed (Condition C, if guardrail data is computable from balance/count data — e.g., an `==0` count guardrail), post a comment via `safeoutputs add_comment` (with `item_number` = the issue number) per the templates in the full instructions. Skip Condition B (statistical significance on outcome metrics) if you lack outcome data for that experiment — do not fabricate it.\n- For labels: use `safeoutputs add_labels` to apply `experiment:active` and/or `experiment:ready-for-analysis` labels to tracking issues per the rules (you can skip label creation via GitHub MCP `create_label` if the tool isn't available in the read-only `github` CLI's exposed command list — in that case just call `add_labels`, which should handle label creation/application through the safe-outputs pipeline).\n- Do not exceed safe-output tool limits: add_comment max 10, add_labels max 10, upload_asset max 10 (5 recommended for charts), create_discussion is typically limited to one call — call it once.\n\n## Mandatory final step\nYou MUST call at least one safe-output tool before finishing (create_discussion satisfies this). If for any reason you cannot produce the discussion (e.g., total failure to retrieve any experiment data), call `safeoutputs noop` with an explanation instead of leaving the task incomplete. Do not call any tool that writes to GitHub outside of the `safeoutputs` CLI — `gh` and other write paths are not authenticated/available.\n\nAlso append a one-line summary to $GITHUB_STEP_SUMMARY: `Daily experiment report: N experiments analysed, discussion: <url or \"(see safe-output result)\">` — note the safe-output tool call result will contain confirmation; you don't need to independently verify the discussion via `gh`/API reads (per policy, trust the successful tool call).\n\nWork efficiently: batch git/API calls, don't over-fetch. Given the volume (~40 experiments), prioritize correctness of the aggregate/summary and pick a representative deep-dive subset rather than exhaustively deep-diving every single experiment."}}}
[copilot-sdk-driver] [sdk-driver] error: Execution failed: Error: No model available. Check policy enablement under GitHub Settings > Copilot
{"type":"subagent.completed","timestamp":"2026-08-06T08:48:59.914Z","data":{"agentName":"general-purpose","toolCallId":"toolu_01CNdoMWcR3Gq2xh3hiVNXh9"}}
Workflow Failure
Workflow: daily-experiment-report
Branch: main
Run: https://github.com/github/gh-aw/actions/runs/31086066320
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agentic-workflowsprompt.agentic-workflowsskill from.github/skills/agentic-workflows/SKILL.mdor https://github.com/github/gh-aw/blob/main/.github/skills/agentic-workflows/SKILL.mddebug the agentic workflow daily-experiment-report failure in https://github.com/github/gh-aw/actions/runs/31086066320Tip
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