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Skill datafabric smoke records commands

Passed
skill-datafabric-smoke-records-commands · run 2026-04-19_12-09-06
Score
1.00
Duration
103.6s
Cost
$0.119
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":"rec-inception-placeholder","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.BashInsert Inception record into MovieReviews entity
  3. 3.BashInsert Dune record into MovieReviews entity
  4. 4.BashQuery MovieReviews records where watched = true
  5. 5.BashList first page of all MovieReviews records (limit 10)
  6. 6.BashUpdate Inception record rating to 10 (placeholder ID due to auth failure on insert)
  7. 7.BashList working directory contents
  8. 8.Write/Users/religa/src/coder_eval/runs/2026-04-19_12-09-06/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-re…

Artifacts

none

    task.log

    10,818 bytes · click to view
    2026-04-19 12:12:42 [DEBUG] coder_eval.criteria: Criteria already discovered, skipping
2026-04-19 12:12:42 [DEBUG] coder_eval.criteria: Validated 13 criterion checkers
2026-04-19 12:12:42 [INFO] coder_eval.orchestrator: API routing: anthropic_direct
2026-04-19 12:12:42 [INFO] coder_eval.orchestrator: Starting iteration 1/2
2026-04-19 12:12:42 [DEBUG] coder_eval.orchestrator: Sending prompt: Before starting, load the uipath-data-fabric skill and follow its workflow.

There is a "MovieReview...
2026-04-19 12:12:42 [DEBUG] coder_eval.agents.claude_code_agent: Starting agent query stream...
2026-04-19 12:12:47 [DEBUG] coder_eval.agents.claude_code_agent: --- SYSTEM (hook_started): {'type': 'system', 'subtype': 'hook_started', 'hook_id': '1a724360-f8c4-44df-b415-fe161f7ac4d1', 'hook_name': 'SessionStart:startup', 'hook_event': 'SessionStart', 'uuid': '57970076-f2f6-4355-8320-d54
2026-04-19 12:12:47 [DEBUG] coder_eval.agents.claude_code_agent: --- SYSTEM (hook_response): {'type': 'system', 'subtype': 'hook_response', 'hook_id': '1a724360-f8c4-44df-b415-fe161f7ac4d1', 'hook_name': 'SessionStart:startup', 'hook_event': 'SessionStart', 'output': '@uipath/cli is already i
2026-04-19 12:12:47 [DEBUG] coder_eval.agents.claude_code_agent: --- SYSTEM (init): {'type': 'system', 'subtype': 'init', 'cwd': '/Users/religa/src/coder_eval/runs/2026-04-19_12-09-06/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-records-commands', 
2026-04-19 12:12:48 [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
2026-04-19 12:12:49 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Skill | id=toolu_01JBr4QYuqpd4u3rZLzMqq1o | params={'skill': 'uipath:uipath-data-fabric'}
2026-04-19 12:12:49 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [OK]: id=toolu_01JBr4QYuqpd4u3rZLzMqq1o | Launching skill: uipath:uipath-data-fabric
2026-04-19 12:12:49 [DEBUG] coder_eval.agents.claude_code_agent: --- RateLimitEvent: RateLimitEvent(rate_limit_info=RateLimitInfo(status='allowed', resets_at=1776643200, rate_limit_type='five_hour', utilization=None, overage_status='allowed', overage_resets_at=1777593600, overage_disa
2026-04-19 12:12:56 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT BLOCK (ThinkingBlock): ThinkingBlock(thinking='Now I need to follow the uipath-data-fabric skill workflow. The task is clear:\n\n1. Insert a record: { title: "Inception", rating: 9, watched: true }\n2. Insert a second recor
2026-04-19 12:12:56 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: I'll now execute each `uip df` command in order, capture the results, and save the summary to `report.json`.
2026-04-19 12:12:56 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01SzXjhonW3BbPHiKeGTr9C5 | 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'}
2026-04-19 12:12:58 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [ERROR]: id=toolu_01SzXjhonW3BbPHiKeGTr9C5 | Exit code 1
{
  "Result": "Failure",
  "Message": "Error inserting record",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
2026-04-19 12:13:02 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01WGkiTJrCedTzFjLHTDH5vR | 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'}
2026-04-19 12:13:55 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [ERROR]: id=toolu_01WGkiTJrCedTzFjLHTDH5vR | Exit code 1
{
  "Result": "Failure",
  "Message": "Error inserting record",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
2026-04-19 12:13:57 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01SPn5mgNNV1yjGqJCyUsp9D | 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'}
2026-04-19 12:13:58 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [ERROR]: id=toolu_01SPn5mgNNV1yjGqJCyUsp9D | Exit code 1
{
  "Result": "Failure",
  "Message": "Error querying records",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
2026-04-19 12:14:01 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01SFPjGx4ZAmNQKM8nUKm5tY | params={'command': 'uip df records list abc-123-def --limit 10 --output json 2>&1', 'description': 'List first page of all MovieReviews records (limit 10)'}
2026-04-19 12:14:02 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [ERROR]: id=toolu_01SFPjGx4ZAmNQKM8nUKm5tY | Exit code 1
{
  "Result": "Failure",
  "Message": "Error listing records",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
2026-04-19 12:14:07 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT BLOCK (ThinkingBlock): ThinkingBlock(thinking='For the update, I need to use the record ID from the insert response. Since the insert failed with an auth error, I don\'t have a real record ID. I\'ll use a placeholder record
2026-04-19 12:14:07 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: Since the insert returned an auth error (no record ID was returned), I'll use a placeholder ID for the update command as expected in this auth-failure environment:
2026-04-19 12:14:08 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_017iY34dYUr9nqiVef9KLtxV | params={'command': 'uip df records update abc-123-def --body \'{"Id":"rec-inception-placeholder","rating":10}\' --output json 2>&1', 'description': 'Update Inception record rating to 10 (placeholder ID due to auth failure on insert)'}
2026-04-19 12:14:09 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [ERROR]: id=toolu_017iY34dYUr9nqiVef9KLtxV | Exit code 1
{
  "Result": "Failure",
  "Message": "Error updating record",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
2026-04-19 12:14:11 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: All 5 commands have been executed. Now I'll write the `report.json` summary:
2026-04-19 12:14:12 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_012B6ZVV8qv6hQE4hWWwB9iv | params={'command': 'ls /Users/religa/src/coder_eval/runs/2026-04-19_12-09-06/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-records-commands/', 'description': 'List working directory contents'}
2026-04-19 12:14:12 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [OK]: id=toolu_012B6ZVV8qv6hQE4hWWwB9iv | (Bash completed with no output)
2026-04-19 12:14:18 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Write | id=toolu_019W3eXsqyLUtocFff3sNNmV | params={'file_path': '/Users/religa/src/coder_eval/runs/2026-04-19_12-09-06/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
2026-04-19 12:14:18 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [OK]: id=toolu_019W3eXsqyLUtocFff3sNNmV | File created successfully at: /Users/religa/src/coder_eval/runs/2026-04-19_12-09-06/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-records-commands/report.json
2026-04-19 12:14:24 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: All 5 steps are complete. Here's a summary of what was done:

---

### Steps Executed

| # | 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":{...watched=true...}}' --o
2026-04-19 12:14:24 [DEBUG] coder_eval.agents.claude_code_agent: <<< RESULT: cost=$0.11861925, usage={'input_tokens': 11, 'cache_creation_input_tokens': 10711, 'cache_read_input_tokens': 148900, 'output_tokens': 2250, 'server_tool_use': {'web_search_requests': 0, 'web_fetch_requests': 0}, 'service_ti
2026-04-19 12:14:24 [DEBUG] coder_eval.agents.claude_code_agent: session_id changed: None -> bad44a81-ed58-44fb-99f2-2d27e64d300a
2026-04-19 12:14:25 [DEBUG] coder_eval.agents.claude_code_agent: Agent query stream ended
2026-04-19 12:14:25 [DEBUG] coder_eval.orchestrator: Agent response received (3320 chars)
2026-04-19 12:14:25 [DEBUG] coder_eval.orchestrator: Checking success criteria
2026-04-19 12:14:25 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-19 12:14:25 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-19 12:14:25 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-19 12:14:25 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-19 12:14:25 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-19 12:14:25 [INFO] coder_eval.evaluation.checker: Criterion 'file_exists' score: 1.00
2026-04-19 12:14:25 [INFO] coder_eval.evaluation.checker: Criterion 'file_contains' score: 1.00
2026-04-19 12:14:25 [INFO] coder_eval.evaluation.checker: Criterion 'json_check' score: 1.00
2026-04-19 12:14:25 [INFO] coder_eval.orchestrator: Success criteria: 8/8 passed, weighted score: 1.000
2026-04-19 12:14:25 [INFO] coder_eval.orchestrator: All success criteria passed!
2026-04-19 12:14:25 [INFO] coder_eval.orchestrator: Running post-run command: python3 $SKILLS_REPO_PATH/tests/tasks/uipath-maestro-flow/_shared/cleanup_solutions.py
2026-04-19 12:14:25 [WARNING] coder_eval.orchestrator: [post_run stderr] cleanup_solutions: no .uipx files under cwd; nothing to do.
2026-04-19 12:14:25 [INFO] coder_eval.orchestrator: Sandbox preserved (in-place): runs/2026-04-19_12-09-06/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-records-commands