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Skill datafabric smoke entity commands

Passed
skill-datafabric-smoke-entity-commands · run 2026-04-22_20-39-58
Score
1.00
Duration
47.7s
Cost
$0.099
Final status
SUCCESS
Tool calls
4
uipath-data-fabricsmokeentities

Prompt

Before starting, load the uipath-data-fabric skill and follow its workflow.

I need to set up a "Products" entity in Data Fabric with the following fields:
- name (text)
- price (decimal)
- inStock (boolean)
- releaseDate (date)

First check what entities already exist (native entities only), then create
the Products entity if it does not exist yet.

Save a summary to report.json:
{
  "commands_used": ["<list of uip df commands you ran>"],
  "entity_create_body": { "fields": [ ... ] },
  "entity_id": "<ID returned, or 'error: <message>' if command failed>"
}

Important:
- The uip CLI is available but is NOT connected to a live Data Fabric tenant
  in this environment. Commands will fail with auth errors — that is expected.
  Run each command once, record the result (success or error) in report.json,
  and move on. Do NOT retry or attempt to login.
- Use --output json on every uip df command.
- Do NOT delete the entity.

Success criteria (6)

PASSAgent listed native entities only (--native-only flag required)score 1
Matched 1/1 required commands (filters: tool_name=Bash, pattern=/uip\s+df\s+entities\s+list\s+.*--native-only/)
Examples: ['uip df entities list --native-only --output json 2>&1']
PASSAgent used entities create with --body (not --fields flag)score 1
Matched 1/1 required commands (filters: tool_name=Bash, pattern=/uip\s+df\s+entities\s+create\s+.*--body/)
Examples: ['uip df entities create Products --body \'{"fields":[{"fieldName":"name","type":"STRING"},{"fieldName":"price","type":"DEC']
PASSAgent used --output json on uip df commandsscore 1
Matched 2/1 required commands (filters: tool_name=Bash, pattern=/uip\s+df\s+.*--output\s+json/)
Examples: ['uip df entities list --native-only --output json 2>&1', 'uip df entities create Products --body \'{"fields":[{"fieldName":"name","type":"STRING"},{"fieldName":"price","type":"DEC']
PASSreport.json was createdscore 1
File 'report.json' exists
PASSEntity body uses fieldName key (not name key)score 1
Includes: 1/1 found; Score: 1.00
PASSreport.json has correct shape with at least 2 commands usedscore 1
Assertions: 1/1 passed; Score: 1.00

Command timeline (4)

agent tool calls in order
  1. 1.Skilluipath:uipath-data-fabric
  2. 2.BashList native-only entities in Data Fabric
  3. 3.BashCreate Products entity with four fields in Data Fabric
  4. 4.Write/Users/religa/src/coder_eval/runs/2026-04-22_20-39-58/default/skill-datafabric-smoke-entity-commands/00/artifacts/skill-datafabric-smoke-…

Artifacts

none

    task.log

    10,110 bytes · click to view
    2026-04-22 20:47:37 [DEBUG] coder_eval.criteria: Criteria already discovered, skipping
2026-04-22 20:47:37 [DEBUG] coder_eval.criteria: Validated 16 criterion checkers
2026-04-22 20:47:37 [INFO] coder_eval.orchestrator: API routing: aws_bedrock
2026-04-22 20:47:37 [INFO] coder_eval.orchestrator: Starting iteration 1/2
2026-04-22 20:47:37 [DEBUG] coder_eval.orchestrator: Sending prompt: Before starting, load the uipath-data-fabric skill and follow its workflow.

I need to set up a "Pro...
2026-04-22 20:47:37 [DEBUG] coder_eval.agents.claude_code_agent: [coder] Starting agent query stream...
2026-04-22 20:47:42 [DEBUG] coder_eval.agents.claude_code_agent: [coder] --- SYSTEM (hook_started): {'type': 'system', 'subtype': 'hook_started', 'hook_id': '4a06bd72-0b47-4ac8-a649-f8062bcb0765', 'hook_name': 'SessionStart:startup', 'hook_event': 'SessionStart', 'uuid': '3c8177df-71f8-4296-b9bf-e6c
2026-04-22 20:47:42 [DEBUG] coder_eval.agents.claude_code_agent: [coder] --- SYSTEM (hook_started): {'type': 'system', 'subtype': 'hook_started', 'hook_id': '36ea0495-6f97-44c6-8e6f-c6492b202e58', 'hook_name': 'SessionStart:startup', 'hook_event': 'SessionStart', 'uuid': '47887f80-7465-4d6c-9a00-1c8
2026-04-22 20:47:42 [DEBUG] coder_eval.agents.claude_code_agent: [coder] --- SYSTEM (hook_response): {'type': 'system', 'subtype': 'hook_response', 'hook_id': '36ea0495-6f97-44c6-8e6f-c6492b202e58', 'hook_name': 'SessionStart:startup', 'hook_event': 'SessionStart', 'output': '', 'stdout': '', 'stderr
2026-04-22 20:47:42 [DEBUG] coder_eval.agents.claude_code_agent: [coder] --- SYSTEM (hook_response): {'type': 'system', 'subtype': 'hook_response', 'hook_id': '4a06bd72-0b47-4ac8-a649-f8062bcb0765', 'hook_name': 'SessionStart:startup', 'hook_event': 'SessionStart', 'output': '@uipath/cli is already i
2026-04-22 20:47:42 [DEBUG] coder_eval.agents.claude_code_agent: [coder] --- SYSTEM (init): {'type': 'system', 'subtype': 'init', 'cwd': '/Users/religa/src/coder_eval/runs/2026-04-22_20-39-58/default/skill-datafabric-smoke-entity-commands/00/artifacts/skill-datafabric-smoke-entity-commands',
2026-04-22 20:47:46 [DEBUG] coder_eval.agents.claude_code_agent: [coder] >>> ASSISTANT BLOCK (ThinkingBlock): ThinkingBlock(thinking='The user wants me to load the uipath-data-fabric skill and follow its workflow to set up a "Products" entity in Data Fabric. Let me invoke the skill first.', signature='EsYCCkg
2026-04-22 20:47:46 [DEBUG] coder_eval.agents.claude_code_agent: [coder] >>> TOOL CALL: Skill | id=toolu_bdrk_012jH83MzZ5g71Vd69xgTjVE | params={
  "skill": "uipath:uipath-data-fabric"
}
2026-04-22 20:47:46 [DEBUG] coder_eval.agents.claude_code_agent: [coder] <<< TOOL RESULT [OK]: id=toolu_bdrk_012jH83MzZ5g71Vd69xgTjVE | Launching skill: uipath:uipath-data-fabric
2026-04-22 20:47:50 [DEBUG] coder_eval.agents.claude_code_agent: [coder] >>> ASSISTANT BLOCK (ThinkingBlock): ThinkingBlock(thinking="The skill has been loaded. Now I need to follow its workflow:\n\n1. First check what entities already exist (native entities only) using `uip df entities list --native-only --o
2026-04-22 20:47:50 [DEBUG] coder_eval.agents.claude_code_agent: [coder] >>> ASSISTANT: I'll follow the Data Fabric skill workflow: **Discover → Act → Verify**. Let me start by listing native entities to check if "Products" already exists.
2026-04-22 20:47:51 [DEBUG] coder_eval.agents.claude_code_agent: [coder] >>> TOOL CALL: Bash | id=toolu_bdrk_01XGYpvBQWZPN5c8P4MCgAvU | params={
  "command": "uip df entities list --native-only --output json 2>&1",
  "description": "List native-only entities in Data Fabric"
}
2026-04-22 20:47:55 [DEBUG] coder_eval.agents.claude_code_agent: [coder] <<< TOOL RESULT [OK]: id=toolu_bdrk_01XGYpvBQWZPN5c8P4MCgAvU | {
  "Result": "Success",
  "Code": "EntityList",
  "Data": [
    {
      "Name": "CodeEvalTest",
      "DisplayName": "CodeEvalTest",
      "ID": "10ab6517-c73e-f111-8ef3-6045bd00bc8b",
      "Type": "Entity",
      "Source": "Native",
      "Description": "",
      "FieldCount": 8
    },
    {
      "Name": "SystemUser",
      "DisplayName": "System Users",
      "ID": "08ab6517-c73e-f111-8ef3-6045bd00bc8b",
      "Type": "SystemEntity",
      "Source": "Native",
      "Description": "Contains Automation Cloud users and groups that have ever had roles assigned, or accessed Data Service",
      "FieldCount": 7
    }
  ]
}
2026-04-22 20:47:58 [DEBUG] coder_eval.agents.claude_code_agent: [coder] >>> ASSISTANT BLOCK (ThinkingBlock): ThinkingBlock(thinking='The entities list shows two entities: "CodeEvalTest" and "SystemUser". Neither is "Products", so I need to create the "Products" entity.\n\nThe field mappings based on the skil
2026-04-22 20:47:59 [DEBUG] coder_eval.agents.claude_code_agent: [coder] >>> ASSISTANT: No "Products" entity exists. I'll now create it with the four required fields, mapping the types per the skill's field type table (`text → STRING`, `decimal → DECIMAL`, `boolean → BOOLEAN`, `date → DATE`).
2026-04-22 20:48:00 [DEBUG] coder_eval.agents.claude_code_agent: [coder] >>> TOOL CALL: Bash | id=toolu_bdrk_01JZnDw1pKNAnPntnFXCZZvH | params={
  "command": "uip df entities create Products --body '{\"fields\":[{\"fieldName\":\"name\",\"type\":\"STRING\"},{\"fieldName\":\"price\",\"type\":\"DECIMAL\"},{\"fieldName\":\"inStock\",\"type\":\"BOOLEAN\"},{\"fieldName\":\"releaseDate\",\"type\":\"DATE\"}]}' --output json 2>&1",
  "description": "Create Products entity with four fields in Data Fabric"
}
2026-04-22 20:48:11 [DEBUG] coder_eval.agents.claude_code_agent: [coder] <<< TOOL RESULT [OK]: id=toolu_bdrk_01JZnDw1pKNAnPntnFXCZZvH | {
  "Result": "Success",
  "Code": "EntityCreated",
  "Data": {
    "ID": "430bc439-c73e-f111-8ef3-6045bd00bc8b"
  }
}
2026-04-22 20:48:15 [DEBUG] coder_eval.agents.claude_code_agent: [coder] >>> ASSISTANT BLOCK (ThinkingBlock): ThinkingBlock(thinking='The Products entity was created successfully with ID "430bc439-c73e-f111-8ef3-6045bd00bc8b". Now I need to save the report.json file with the required fields.\n\nCommands used:
2026-04-22 20:48:15 [DEBUG] coder_eval.agents.claude_code_agent: [coder] >>> ASSISTANT: Entity created successfully (ID: `430bc439-c73e-f111-8ef3-6045bd00bc8b`). Now I'll write the `report.json` summary.
2026-04-22 20:48:19 [DEBUG] coder_eval.agents.claude_code_agent: [coder] >>> TOOL CALL: Write | id=toolu_bdrk_01D3JYCu9Zxpgn6YZCfr779G | params={
  "file_path": "/Users/religa/src/coder_eval/runs/2026-04-22_20-39-58/default/skill-datafabric-smoke-entity-commands/00/artifacts/skill-datafabric-smoke-entity-commands/report.json",
  "content": "{\n  \"commands_used\": [\n    \"uip df entities list --native-only --output json\",\n    \"uip df entities create Products --body '{\\\"fields\\\":[{\\\"fieldName\\\":\\\"name\\\",\\\"type\\\":\\\"STRING\\\"},{\\\"fieldName\\\":\\\"price\\\",\\\"type\\\":\\\"DECIMAL\\\"},{\\\"fieldName\\\":\\\"inStock\\\",\\\"type\\\":\\\"BOOLEAN\\\"},{\\\"fieldName\\\":\\\"releaseDate\\\",\\\"type\\\":\\\"DATE\\\"}]}' --output json\"\n  ],\n  \"entity_create_body\": {\n    \"fields\": [\n      { \"fieldName\": \"name\", \"type\": \"STRING\" },\n      { \"fieldName\": \"price\", \"type\": \"DECIMAL\" },\n     …(197 more chars)
2026-04-22 20:48:19 [DEBUG] coder_eval.agents.claude_code_agent: [coder] <<< TOOL RESULT [OK]: id=toolu_bdrk_01D3JYCu9Zxpgn6YZCfr779G | File created successfully at: /Users/religa/src/coder_eval/runs/2026-04-22_20-39-58/default/skill-datafabric-smoke-entity-commands/00/artifacts/skill-datafabric-smoke-entity-commands/report.json
2026-04-22 20:48:24 [DEBUG] coder_eval.agents.claude_code_agent: [coder] >>> ASSISTANT: All done. Here's a summary of what was done:

### Workflow Followed

**Discover**
- Ran `uip df entities list --native-only --output json` → found 2 existing entities (`CodeEvalTest`, `SystemUser`). No "Products" entity existed.

**Act**
- Ran `uip df entities create Products` with the four fields, using the correct Data Fabric type strings:
  | Field | Requested type | Data Fabric type |
  |---|---|---|
  | `name` | text | `STRING` |
  | `price` | decimal | `DECIMAL` |
  | `inStock` | boolean |
2026-04-22 20:48:24 [DEBUG] coder_eval.agents.claude_code_agent: [coder] <<< RESULT: cost=$0.0988911, usage={'input_tokens': 7, 'cache_creation_input_tokens': 10690, 'cache_read_input_tokens': 121992, 'output_tokens': 1479, 'server_tool_use': {'web_search_requests': 0, 'web_fetch_requests': 0}, 'service_tie
2026-04-22 20:48:24 [DEBUG] coder_eval.agents.claude_code_agent: [coder] session_id changed: None -> 15cd7c0c-508f-45e5-9149-7cc72987f890
2026-04-22 20:48:24 [DEBUG] coder_eval.agents.claude_code_agent: [coder] Agent query stream ended
2026-04-22 20:48:24 [DEBUG] coder_eval.orchestrator: Agent response received (2004 chars)
2026-04-22 20:48:24 [DEBUG] coder_eval.orchestrator: Checking success criteria
2026-04-22 20:48:24 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-22 20:48:24 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-22 20:48:24 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-22 20:48:24 [INFO] coder_eval.evaluation.checker: Criterion 'file_exists' score: 1.00
2026-04-22 20:48:24 [INFO] coder_eval.evaluation.checker: Criterion 'file_contains' score: 1.00
2026-04-22 20:48:24 [INFO] coder_eval.evaluation.checker: Criterion 'json_check' score: 1.00
2026-04-22 20:48:24 [INFO] coder_eval.orchestrator: Success criteria: 6/6 passed, weighted score: 1.000
2026-04-22 20:48:24 [INFO] coder_eval.orchestrator: All success criteria passed!
2026-04-22 20:48:24 [INFO] coder_eval.orchestrator: Running post-run command: python3 $SKILLS_REPO_PATH/tests/tasks/uipath-maestro-flow/_shared/cleanup_solutions.py
2026-04-22 20:48:24 [WARNING] coder_eval.orchestrator: [post_run stderr] cleanup_solutions: no .uipx files under cwd; nothing to do.
2026-04-22 20:48:24 [INFO] coder_eval.orchestrator: Sandbox preserved (in-place): runs/2026-04-22_20-39-58/default/skill-datafabric-smoke-entity-commands/00/artifacts/skill-datafabric-smoke-entity-commands