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Skill datafabric smoke records commands

Passed
skill-datafabric-smoke-records-commands · run 2026-04-21_21-02-20
Score
1.00
Duration
58.7s
Cost
—
Final status
SUCCESS
Tool calls
8
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 2/1 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']
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":"<inception-record-id>","rating":10}\' --output json 2>&1']
PASSAgent used --output json on all uip df commandsscore 1
Matched 5/3 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 query abc-123-def --body \'{"filterGroup":{"logicalOperator":0,"queryFilters":[{"fieldName":"watched","ope']
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 (8)

agent tool calls in order
  1. 1.Skilluipath:uipath-data-fabric
  2. 2.BashStep 1: Insert Inception record
  3. 3.BashStep 2: Insert Dune record
  4. 4.BashStep 3: Query records where watched = true
  5. 5.BashStep 4: List first page of all records (limit 10)
  6. 6.BashStep 5: Update Inception record rating to 10 (using placeholder ID since insert auth-failed)
  7. 7.BashCheck target artifact directory
  8. 8.Write/Users/religa/src/coder_eval/runs/2026-04-21_21-02-20/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-re…

Artifacts

none

    task.log

    11,218 bytes · click to view
    2026-04-21 21:28:48 [DEBUG] coder_eval.criteria: Criteria already discovered, skipping
2026-04-21 21:28:48 [DEBUG] coder_eval.criteria: Validated 16 criterion checkers
2026-04-21 21:28:48 [INFO] coder_eval.orchestrator: API routing: anthropic_direct
2026-04-21 21:28:48 [INFO] coder_eval.orchestrator: Starting iteration 1/2
2026-04-21 21:28:48 [DEBUG] coder_eval.orchestrator: Sending prompt: Before starting, load the uipath-data-fabric skill and follow its workflow.

There is a "MovieReview...
2026-04-21 21:28:48 [DEBUG] coder_eval.agents.claude_code_agent: Starting agent query stream...
2026-04-21 21:28:53 [DEBUG] coder_eval.agents.claude_code_agent: --- SYSTEM (hook_started): {'type': 'system', 'subtype': 'hook_started', 'hook_id': '3a256f9e-96e5-4000-ab19-a347ca5caec5', 'hook_name': 'SessionStart:startup', 'hook_event': 'SessionStart', 'uuid': 'd011a2d7-b6dc-4865-90dd-ceb
2026-04-21 21:28:53 [DEBUG] coder_eval.agents.claude_code_agent: --- SYSTEM (hook_response): {'type': 'system', 'subtype': 'hook_response', 'hook_id': '3a256f9e-96e5-4000-ab19-a347ca5caec5', 'hook_name': 'SessionStart:startup', 'hook_event': 'SessionStart', 'output': '@uipath/cli is already i
2026-04-21 21:28:53 [DEBUG] coder_eval.agents.claude_code_agent: --- SYSTEM (init): {'type': 'system', 'subtype': 'init', 'cwd': '/Users/religa/src/coder_eval/runs/2026-04-21_21-02-20/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-records-commands', 
2026-04-21 21:28:55 [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 do that first.', signature='EqICClsIDBgCKkD88jZxcucUz6afPhiVegrIl7zYmSDVAkwYMZ4TrNZswx8rv
2026-04-21 21:28:55 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Skill | id=toolu_01QQUsYfKwhYjDLs6NNcTtyZ | params={
  "skill": "uipath:uipath-data-fabric"
}
2026-04-21 21:28:55 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [OK]: id=toolu_01QQUsYfKwhYjDLs6NNcTtyZ | Launching skill: uipath:uipath-data-fabric
2026-04-21 21:28:55 [DEBUG] coder_eval.agents.claude_code_agent: --- RateLimitEvent: RateLimitEvent(rate_limit_info=RateLimitInfo(status='allowed_warning', resets_at=1776970800, rate_limit_type='seven_day', utilization=0.82, overage_status=None, overage_resets_at=None, overage_disable
2026-04-21 21:29:09 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT BLOCK (ThinkingBlock): ThinkingBlock(thinking='Now I have the skill loaded. Let me follow the workflow for the Data Fabric operations. I need to:\n\n1. Insert a record: { title: "Inception", rating: 9, watched: true }\n2. I
2026-04-21 21:29:09 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: I'll now execute each `uip df` command in order, recording results as I go. Since the environment has no live tenant, auth errors are expected — I'll run each once and move on.
2026-04-21 21:29:09 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01SHZY3LU2rQZKgnAHfJrzhZ | params={
  "command": "uip df records insert abc-123-def --body '{\"title\":\"Inception\",\"rating\":9,\"watched\":true}' --output json 2>&1",
  "description": "Step 1: Insert Inception record"
}
2026-04-21 21:29:11 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [ERROR]: id=toolu_01SHZY3LU2rQZKgnAHfJrzhZ | Exit code 1
{
  "Result": "Failure",
  "Message": "Error inserting record",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
2026-04-21 21:29:13 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_013RtqXz2kuLemZPZQSth1za | params={
  "command": "uip df records insert abc-123-def --body '{\"title\":\"Dune\",\"rating\":8,\"watched\":false}' --output json 2>&1",
  "description": "Step 2: Insert Dune record"
}
2026-04-21 21:29:14 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [ERROR]: id=toolu_013RtqXz2kuLemZPZQSth1za | Exit code 1
{
  "Result": "Failure",
  "Message": "Error inserting record",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
2026-04-21 21:29:17 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01NWFgife4fP58X6q25nuvAE | params={
  "command": "uip df records query abc-123-def --body '{\"filterGroup\":{\"logicalOperator\":0,\"queryFilters\":[{\"fieldName\":\"watched\",\"operator\":\"=\",\"value\":\"true\"}]}}' --output json 2>&1",
  "description": "Step 3: Query records where watched = true"
}
2026-04-21 21:29:18 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [ERROR]: id=toolu_01NWFgife4fP58X6q25nuvAE | Exit code 1
{
  "Result": "Failure",
  "Message": "Error querying records",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
2026-04-21 21:29:22 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01Hq4pki39uut947g5faVJf4 | params={
  "command": "uip df records list abc-123-def --limit 10 --output json 2>&1",
  "description": "Step 4: List first page of all records (limit 10)"
}
2026-04-21 21:29:24 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [ERROR]: id=toolu_01Hq4pki39uut947g5faVJf4 | Exit code 1
{
  "Result": "Failure",
  "Message": "Error listing records",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
2026-04-21 21:29:27 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT BLOCK (ThinkingBlock): ThinkingBlock(thinking='All commands failed with auth errors as expected. Now for step 5, I need to update the Inception record. Since the insert failed and I don\'t have a real record ID, I\'ll use a
2026-04-21 21:29:28 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01EHDXt6Nztwbvebeix6ZCow | params={
  "command": "uip df records update abc-123-def --body '{\"Id\":\"<inception-record-id>\",\"rating\":10}' --output json 2>&1",
  "description": "Step 5: Update Inception record rating to 10 (using placeholder ID since insert auth-failed)"
}
2026-04-21 21:29:30 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [ERROR]: id=toolu_01EHDXt6Nztwbvebeix6ZCow | Exit code 1
{
  "Result": "Failure",
  "Message": "Error updating record",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
2026-04-21 21:29:32 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: All five commands ran and produced the expected auth errors. Now I'll write the `report.json` summary.
2026-04-21 21:29:34 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01NMYTB6LdRkL75vG9jSJnkC | params={
  "command": "ls /Users/religa/src/coder_eval/runs/2026-04-21_21-02-20/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-records-commands/",
  "description": "Check target artifact directory"
}
2026-04-21 21:29:34 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [OK]: id=toolu_01NMYTB6LdRkL75vG9jSJnkC | (Bash completed with no output)
2026-04-21 21:29:39 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Write | id=toolu_01F576D3ajv7HiPyNT1bTBHr | params={
  "file_path": "/Users/religa/src/coder_eval/runs/2026-04-21_21-02-20/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\\\",\\\"rating\\\":9,\\\"watched\\\":true}' --output json\",\n    \"uip df records insert abc-123-def --body '{\\\"title\\\":\\\"Dune\\\",\\\"rating\\\":8,\\\"watched\\\":false}' --output json\",\n    \"uip df records query abc-123-def --body '{\\\"filterGroup\\\":{\\\"logicalOperator\\\":0,\\\"queryFilters\\\":[{\\\"fieldName\\\":\\\"watched\\\",\\\"operator\\\":\\\"=\\\",\\\"value\\\":\\\"true\\\"}]}}' --output json\",\n    \"uip df records list abc-123-def --limit 10 --output json\",\n    \…(565 more chars)
2026-04-21 21:29:39 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [OK]: id=toolu_01F576D3ajv7HiPyNT1bTBHr | File created successfully at: /Users/religa/src/coder_eval/runs/2026-04-21_21-02-20/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-records-commands/report.json
2026-04-21 21:29:46 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: All five steps are complete. Here's a summary of what was done:

---

### Steps Executed

| # | Command | Result |
|---|---------|--------|
| 1 | `uip df records insert abc-123-def` — Inception (rating 9, watched true) | Auth error (expected) |
| 2 | `uip df records insert abc-123-def` — Dune (rating 8, watched false) | Auth error (expected) |
| 3 | `uip df records query abc-123-def` — filter `watched = true` | Auth error (expected) |
| 4 | `uip df records list abc-123-def --limit 10` | Auth err
2026-04-21 21:29:46 [DEBUG] coder_eval.agents.claude_code_agent: <<< RESULT: cost=$0.15391545, usage={'input_tokens': 11, 'cache_creation_input_tokens': 18827, 'cache_read_input_tokens': 151804, 'output_tokens': 2516, 'server_tool_use': {'web_search_requests': 0, 'web_fetch_requests': 0}, 'service_ti
2026-04-21 21:29:46 [DEBUG] coder_eval.agents.claude_code_agent: session_id changed: None -> 7b2c5597-006f-4be5-b15f-26f9d2b5ae45
2026-04-21 21:29:46 [DEBUG] coder_eval.agents.claude_code_agent: Agent query stream ended
2026-04-21 21:29:46 [DEBUG] coder_eval.orchestrator: Agent response received (2710 chars)
2026-04-21 21:29:46 [DEBUG] coder_eval.orchestrator: Checking success criteria
2026-04-21 21:29:46 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-21 21:29:46 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-21 21:29:46 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-21 21:29:46 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-21 21:29:46 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-21 21:29:46 [INFO] coder_eval.evaluation.checker: Criterion 'file_exists' score: 1.00
2026-04-21 21:29:46 [INFO] coder_eval.evaluation.checker: Criterion 'file_contains' score: 1.00
2026-04-21 21:29:46 [INFO] coder_eval.evaluation.checker: Criterion 'json_check' score: 1.00
2026-04-21 21:29:46 [INFO] coder_eval.orchestrator: Success criteria: 8/8 passed, weighted score: 1.000
2026-04-21 21:29:46 [INFO] coder_eval.orchestrator: All success criteria passed!
2026-04-21 21:29:46 [INFO] coder_eval.orchestrator: Running post-run command: python3 $SKILLS_REPO_PATH/tests/tasks/uipath-maestro-flow/_shared/cleanup_solutions.py
2026-04-21 21:29:46 [WARNING] coder_eval.orchestrator: [post_run stderr] cleanup_solutions: no .uipx files under cwd; nothing to do.
2026-04-21 21:29:46 [INFO] coder_eval.orchestrator: Sandbox preserved (in-place): runs/2026-04-21_21-02-20/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-records-commands