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Skill datafabric smoke records commands

Passed
skill-datafabric-smoke-records-commands · run 2026-04-17_13-38-59
Score
1.00
Duration
60.2s
Cost
$0.133
Final status
SUCCESS
Tool calls
9
uipath-data-fabricsmokerecords

Prompt

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

There is a "MovieReviews" entity in Data Fabric with entity ID "abc-123-def".
It has fields: title (text), rating (number), watched (boolean).

Do the following steps in order:
1. Insert a record: { title: "Inception", rating: 9, watched: true }
2. Insert a second record: { title: "Dune", rating: 8, watched: false }
3. Query for all records where watched = true
4. List the first page of all records (limit 10)
5. Update the Inception record — set rating to 10.
   (Use the record ID from the insert response to do the update.)

Save a summary to report.json:
{
  "commands_used": ["<list of uip df commands you ran in order>"],
  "insert_body_example": { ... the JSON body passed to records insert ... },
  "query_filter": { ... the filterGroup JSON used for the watched=true query ... },
  "pagination_method": "<'cursor' or 'offset'>",
  "update_includes_id": true
}

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 or attempt entities delete.

Success criteria (8)

PASSAgent inserted a record using records insert --bodyscore 1
Matched 3/1 required commands (filters: tool_name=Bash, pattern=/uip\s+df\s+records\s+insert\s+.*--body/)
Examples: ['uip df records insert abc-123-def --body \'{"title":"Inception","rating":9,"watched":true}\' --output json 2>&1', 'uip df records insert abc-123-def --body \'{"title":"Dune","rating":8,"watched":false}\' --output json 2>&1', 'uip df records insert abc-123-def --body \'{"title":"Dune","rating":8,"watched":false}\' --output json 2>&1']
PASSAgent queried records using records queryscore 1
Matched 1/1 required commands (filters: tool_name=Bash, pattern=/uip\s+df\s+records\s+query\s+/)
Examples: ['uip df records query abc-123-def --body \'{"filterGroup":{"logicalOperator":0,"queryFilters":[{"fieldName":"watched","ope']
PASSAgent listed records with --limit flag (cursor pagination)score 1
Matched 1/1 required commands (filters: tool_name=Bash, pattern=/uip\s+df\s+records\s+list\s+.*--limit/)
Examples: ['uip df records list abc-123-def --limit 10 --output json 2>&1']
PASSAgent updated a record using records update --bodyscore 1
Matched 1/1 required commands (filters: tool_name=Bash, pattern=/uip\s+df\s+records\s+update\s+.*--body/)
Examples: ['uip df records update abc-123-def --body \'{"Id":"record-id-from-insert","rating":10}\' --output json 2>&1']
PASSAgent used --output json on all uip df commandsscore 1
Matched 6/3 required commands (filters: tool_name=Bash, pattern=/uip\s+df\s+.*--output\s+json/)
Examples: ['uip df records insert abc-123-def --body \'{"title":"Inception","rating":9,"watched":true}\' --output json 2>&1', 'uip df records insert abc-123-def --body \'{"title":"Dune","rating":8,"watched":false}\' --output json 2>&1', 'uip df records insert abc-123-def --body \'{"title":"Dune","rating":8,"watched":false}\' --output json 2>&1']
PASSreport.json was createdscore 1
File 'report.json' exists
PASSQuery uses filterGroup syntax (not direct SQL-style filter)score 1
Includes: 1/1 found; Score: 1.00
PASSAgent used cursor pagination and included Id in update bodyscore 1
Assertions: 2/2 passed; Score: 1.00

Command timeline (9)

agent tool calls in order
  1. 1.Skilluipath:uipath-data-fabric
  2. 2.BashInsert Inception record into MovieReviews entity
  3. 3.BashInsert Dune record into MovieReviews entity
  4. 4.BashInsert Dune record into MovieReviews entity
  5. 5.BashQuery MovieReviews records where watched=true
  6. 6.BashList first page (limit 10) of MovieReviews records
  7. 7.BashUpdate Inception record rating to 10 (using placeholder ID since insert failed)
  8. 8.BashConfirm working directory
  9. 9.Write/Users/religa/src/coder_eval/runs/2026-04-17_13-38-59/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-re…

Artifacts

none

    task.log

    11,883 bytes · click to view
    2026-04-17 13:43:27 [DEBUG] coder_eval.criteria: Criteria already discovered, skipping
2026-04-17 13:43:27 [DEBUG] coder_eval.criteria: Validated 13 criterion checkers
2026-04-17 13:43:27 [INFO] coder_eval.orchestrator: API routing: anthropic_direct
2026-04-17 13:43:28 [INFO] coder_eval.orchestrator: Starting iteration 1/2
2026-04-17 13:43:28 [DEBUG] coder_eval.orchestrator: Sending prompt: Before starting, load the uipath-data-fabric skill and follow its workflow.

There is a "MovieReview...
2026-04-17 13:43:28 [DEBUG] coder_eval.agents.claude_code_agent: Starting agent query stream...
2026-04-17 13:43:32 [DEBUG] coder_eval.agents.claude_code_agent: --- SYSTEM (hook_started): {'type': 'system', 'subtype': 'hook_started', 'hook_id': '616b27d0-c3f1-4e2a-9f41-f6f7a8dc0170', 'hook_name': 'SessionStart:startup', 'hook_event': 'SessionStart', 'uuid': '52e16572-8ce9-458e-b9b7-e84
2026-04-17 13:43:32 [DEBUG] coder_eval.agents.claude_code_agent: --- SYSTEM (hook_response): {'type': 'system', 'subtype': 'hook_response', 'hook_id': '616b27d0-c3f1-4e2a-9f41-f6f7a8dc0170', 'hook_name': 'SessionStart:startup', 'hook_event': 'SessionStart', 'output': '@uipath/cli is already i
2026-04-17 13:43:32 [DEBUG] coder_eval.agents.claude_code_agent: --- SYSTEM (init): {'type': 'system', 'subtype': 'init', 'cwd': '/Users/religa/src/coder_eval/runs/2026-04-17_13-38-59/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-records-commands', 
2026-04-17 13:43:34 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT BLOCK (ThinkingBlock): ThinkingBlock(thinking='The user wants me to load the uipath-data-fabric skill and follow its workflow. Let me invoke that skill first.', signature='EqwCClsIDBgCKkAe+f5nPQj+HWKf7jutBmMYMIWABvPbe2aY6XP
2026-04-17 13:43:34 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Skill | id=toolu_01EizTVGg6cGydUCqzSCTh8N | params={'skill': 'uipath:uipath-data-fabric'}
2026-04-17 13:43:34 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [OK]: id=toolu_01EizTVGg6cGydUCqzSCTh8N | Launching skill: uipath:uipath-data-fabric
2026-04-17 13:43:34 [DEBUG] coder_eval.agents.claude_code_agent: --- RateLimitEvent: RateLimitEvent(rate_limit_info=RateLimitInfo(status='allowed', resets_at=1776470400, rate_limit_type='five_hour', utilization=None, overage_status='allowed', overage_resets_at=1777593600, overage_disa
2026-04-17 13:43:48 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT BLOCK (ThinkingBlock): ThinkingBlock(thinking='Now I have the skill loaded. Let me follow the workflow as described. The task is:\n\n1. Insert a record: { title: "Inception", rating: 9, watched: true }\n2. Insert a second r
2026-04-17 13:43:48 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: I'll now execute each `uip df` command in order, capture every response (auth errors are expected), then write `report.json`. Let me start with the first two inserts in parallel, then move on.
2026-04-17 13:43:49 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01KDcLmQbgLuvsagTMQhcVxE | params={'command': 'uip df records insert abc-123-def --body \'{"title":"Inception","rating":9,"watched":true}\' --output json 2>&1', 'description': 'Insert Inception record into MovieReviews entity'}
2026-04-17 13:43:50 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01ACDcHVbMcf895jdkCnYviJ | params={'command': 'uip df records insert abc-123-def --body \'{"title":"Dune","rating":8,"watched":false}\' --output json 2>&1', 'description': 'Insert Dune record into MovieReviews entity'}
2026-04-17 13:43:51 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [ERROR]: id=toolu_01KDcLmQbgLuvsagTMQhcVxE | Exit code 1
{
  "Result": "Failure",
  "Message": "Error inserting record",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
2026-04-17 13:43:51 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [ERROR]: id=toolu_01ACDcHVbMcf895jdkCnYviJ | <tool_use_error>Cancelled: parallel tool call Bash(uip df records insert abc-123-def --body…) errored</tool_use_error>
2026-04-17 13:43:53 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT BLOCK (ThinkingBlock): ThinkingBlock(thinking='The first insert failed with an auth error as expected. The second was cancelled due to parallel tool call error. Let me run the second insert separately, then run queries, the
2026-04-17 13:43:54 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: Auth error on insert 1 as expected. Let me run insert 2, then the query and list commands.
2026-04-17 13:43:55 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_014VCPW2vLwHWTKL3wjfkQS2 | params={'command': 'uip df records insert abc-123-def --body \'{"title":"Dune","rating":8,"watched":false}\' --output json 2>&1', 'description': 'Insert Dune record into MovieReviews entity'}
2026-04-17 13:43:56 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [ERROR]: id=toolu_014VCPW2vLwHWTKL3wjfkQS2 | Exit code 1
{
  "Result": "Failure",
  "Message": "Error inserting record",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
2026-04-17 13:43:58 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01Bq1YfAegEuPMcQ2zRDwzib | params={'command': 'uip df records query abc-123-def --body \'{"filterGroup":{"logicalOperator":0,"queryFilters":[{"fieldName":"watched","operator":"=","value":"true"}]}}\' --output json 2>&1', 'description': 'Query MovieReviews records where watched=true'}
2026-04-17 13:44:00 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [ERROR]: id=toolu_01Bq1YfAegEuPMcQ2zRDwzib | Exit code 1
{
  "Result": "Failure",
  "Message": "Error querying records",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
2026-04-17 13:44:02 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01GTf8WDnpFfeLbXdSALaU71 | params={'command': 'uip df records list abc-123-def --limit 10 --output json 2>&1', 'description': 'List first page (limit 10) of MovieReviews records'}
2026-04-17 13:44:03 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [ERROR]: id=toolu_01GTf8WDnpFfeLbXdSALaU71 | Exit code 1
{
  "Result": "Failure",
  "Message": "Error listing records",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
2026-04-17 13:44:09 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT BLOCK (ThinkingBlock): ThinkingBlock(thinking='Now I need to run the update command. Since the insert failed, I don\'t have a real record ID. The task says to use the record ID from the insert response. Since the insert fai
2026-04-17 13:44:09 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: Now the update — since insert failed (auth error), I'll use a placeholder record ID as the insert response contained no `Id`, then document this in the report.
2026-04-17 13:44:10 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01BceSux44KbUBpn9HMgX8qp | params={'command': 'uip df records update abc-123-def --body \'{"Id":"record-id-from-insert","rating":10}\' --output json 2>&1', 'description': 'Update Inception record rating to 10 (using placeholder ID since insert failed)'}
2026-04-17 13:44:11 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [ERROR]: id=toolu_01BceSux44KbUBpn9HMgX8qp | Exit code 1
{
  "Result": "Failure",
  "Message": "Error updating record",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
2026-04-17 13:44:13 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: All 5 commands run. Now let me write the `report.json` to the working directory.
2026-04-17 13:44:13 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01KcjgX7e62egqvfGn7EPjAY | params={'command': 'pwd', 'description': 'Confirm working directory'}
2026-04-17 13:44:13 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [OK]: id=toolu_01KcjgX7e62egqvfGn7EPjAY | /Users/religa/src/coder_eval/runs/2026-04-17_13-38-59/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-records-commands
2026-04-17 13:44:19 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Write | id=toolu_01M336gbKv1QfLtNWGgZNd42 | params={'file_path': '/Users/religa/src/coder_eval/runs/2026-04-17_13-38-59/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-records-commands/report.json', 'content': '{\n  "commands_used": [\n    "uip df records insert abc-123-def --body \'{\\"title\\":\\"Inception\\",\\"ra
2026-04-17 13:44:19 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [OK]: id=toolu_01M336gbKv1QfLtNWGgZNd42 | File created successfully at: /Users/religa/src/coder_eval/runs/2026-04-17_13-38-59/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-records-commands/report.json
2026-04-17 13:44:26 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: All done. Here's a summary of what was executed:

---

### Steps Completed

| # | Command | Result |
|---|---------|--------|
| 1 | `uip df records insert abc-123-def --body '{"title":"Inception","rating":9,"watched":true}' --output json` | ❌ Auth error (expected) |
| 2 | `uip df records insert abc-123-def --body '{"title":"Dune","rating":8,"watched":false}' --output json` | ❌ Auth error (expected) |
| 3 | `uip df records query abc-123-def --body '{"filterGroup":{"logicalOperator":0,"queryFilter
2026-04-17 13:44:26 [DEBUG] coder_eval.agents.claude_code_agent: <<< RESULT: cost=$0.1325112, usage={'input_tokens': 11, 'cache_creation_input_tokens': 11888, 'cache_read_input_tokens': 152344, 'output_tokens': 2813, 'server_tool_use': {'web_search_requests': 0, 'web_fetch_requests': 0}, 'service_ti
2026-04-17 13:44:26 [DEBUG] coder_eval.agents.claude_code_agent: session_id changed: None -> 0384b5fd-3251-4948-82d4-bac2a6892419
2026-04-17 13:44:27 [DEBUG] coder_eval.agents.claude_code_agent: Agent query stream ended
2026-04-17 13:44:27 [DEBUG] coder_eval.orchestrator: Agent response received (3741 chars)
2026-04-17 13:44:27 [DEBUG] coder_eval.orchestrator: Checking success criteria
2026-04-17 13:44:27 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-17 13:44:27 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-17 13:44:27 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-17 13:44:27 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-17 13:44:27 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-17 13:44:27 [INFO] coder_eval.evaluation.checker: Criterion 'file_exists' score: 1.00
2026-04-17 13:44:27 [INFO] coder_eval.evaluation.checker: Criterion 'file_contains' score: 1.00
2026-04-17 13:44:27 [INFO] coder_eval.evaluation.checker: Criterion 'json_check' score: 1.00
2026-04-17 13:44:27 [INFO] coder_eval.orchestrator: Success criteria: 8/8 passed, weighted score: 1.000
2026-04-17 13:44:27 [INFO] coder_eval.orchestrator: All success criteria passed!
2026-04-17 13:44:27 [INFO] coder_eval.orchestrator: Running post-run command: python3 $SKILLS_REPO_PATH/tests/tasks/uipath-maestro-flow/_shared/cleanup_solutions.py
2026-04-17 13:44:27 [WARNING] coder_eval.orchestrator: [post_run stderr] cleanup_solutions: no .uipx files under cwd; nothing to do.
2026-04-17 13:44:27 [INFO] coder_eval.orchestrator: Sandbox preserved (in-place): runs/2026-04-17_13-38-59/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-records-commands