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Skill datafabric smoke records commands

Passed
skill-datafabric-smoke-records-commands · run 2026-04-18_14-06-44
Score
1.00
Duration
62.3s
Cost
$0.144
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; echo "EXI', 'uip df records insert abc-123-def --body \'{"title":"Dune","rating":8,"watched":false}\' --output json 2>&1; echo "EXIT:$?']
PASSAgent queried records using records queryscore 1
Matched 1/1 required commands (filters: tool_name=Bash, pattern=/uip\s+df\s+records\s+query\s+/)
Examples: ['uip df records query abc-123-def --body \'{"filterGroup":{"logicalOperator":0,"queryFilters":[{"fieldName":"watched","ope']
PASSAgent listed records with --limit flag (cursor pagination)score 1
Matched 1/1 required commands (filters: tool_name=Bash, pattern=/uip\s+df\s+records\s+list\s+.*--limit/)
Examples: ['uip df records list abc-123-def --limit 10 --output json 2>&1; echo "EXIT:$?"']
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-placeholder","rating":10}\' --output json 2>&1; echo']
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; echo "EXI', 'uip df records insert abc-123-def --body \'{"title":"Dune","rating":8,"watched":false}\' --output json 2>&1; echo "EXIT:$?', '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 equals true
  5. 5.BashList first page of MovieReviews records with limit 10
  6. 6.BashUpdate Inception record to set rating to 10 using insert response ID
  7. 7.BashVerify working directory exists
  8. 8.Write/Users/religa/src/coder_eval/runs/2026-04-18_14-06-44/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-re…

Artifacts

none

    task.log

    11,555 bytes · click to view
    2026-04-18 14:12:35 [DEBUG] coder_eval.criteria: Criteria already discovered, skipping
2026-04-18 14:12:35 [DEBUG] coder_eval.criteria: Validated 13 criterion checkers
2026-04-18 14:12:35 [INFO] coder_eval.orchestrator: API routing: anthropic_direct
2026-04-18 14:12:36 [INFO] coder_eval.orchestrator: Starting iteration 1/2
2026-04-18 14:12:36 [DEBUG] coder_eval.orchestrator: Sending prompt: Before starting, load the uipath-data-fabric skill and follow its workflow.

There is a "MovieReview...
2026-04-18 14:12:36 [DEBUG] coder_eval.agents.claude_code_agent: Starting agent query stream...
2026-04-18 14:12:40 [DEBUG] coder_eval.agents.claude_code_agent: --- SYSTEM (hook_started): {'type': 'system', 'subtype': 'hook_started', 'hook_id': '3ceb0418-f025-44ef-9388-3d7e926e49e1', 'hook_name': 'SessionStart:startup', 'hook_event': 'SessionStart', 'uuid': 'b384c433-8ee7-4505-a717-cac
2026-04-18 14:12:40 [DEBUG] coder_eval.agents.claude_code_agent: --- SYSTEM (hook_response): {'type': 'system', 'subtype': 'hook_response', 'hook_id': '3ceb0418-f025-44ef-9388-3d7e926e49e1', 'hook_name': 'SessionStart:startup', 'hook_event': 'SessionStart', 'output': '@uipath/cli is already i
2026-04-18 14:12:40 [DEBUG] coder_eval.agents.claude_code_agent: --- SYSTEM (init): {'type': 'system', 'subtype': 'init', 'cwd': '/Users/religa/src/coder_eval/runs/2026-04-18_14-06-44/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-records-commands', 
2026-04-18 14:12:42 [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
2026-04-18 14:12:42 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Skill | id=toolu_0113a6iwtmxjTmgAso4JHNrL | params={'skill': 'uipath:uipath-data-fabric'}
2026-04-18 14:12:42 [DEBUG] coder_eval.agents.claude_code_agent: --- RateLimitEvent: RateLimitEvent(rate_limit_info=RateLimitInfo(status='allowed', resets_at=1776564000, rate_limit_type='five_hour', utilization=None, overage_status='allowed', overage_resets_at=1777593600, overage_disa
2026-04-18 14:12:42 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [OK]: id=toolu_0113a6iwtmxjTmgAso4JHNrL | Launching skill: uipath:uipath-data-fabric
2026-04-18 14:12:53 [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 says:\n\n1. Insert a record: { title: "Inception", rating: 9, watched: true }\n2. Insert a second
2026-04-18 14:12:54 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: I'll now follow the Data Fabric skill workflow. The entity ID is provided as `abc-123-def`, so I'll proceed directly with the record operations. I'll run each command once and capture the result (success or auth error).

**Step 1 — Insert Inception record**
2026-04-18 14:12:56 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01YbQ9RPvMrQSk7mdM4KEz3e | params={'command': 'uip df records insert abc-123-def --body \'{"title":"Inception","rating":9,"watched":true}\' --output json 2>&1; echo "EXIT:$?"', 'description': 'Insert Inception record into MovieReviews entity'}
2026-04-18 14:12:58 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [OK]: id=toolu_01YbQ9RPvMrQSk7mdM4KEz3e | {
  "Result": "Failure",
  "Message": "Error inserting record",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
EXIT:1
2026-04-18 14:12:59 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: **Step 2 — Insert Dune record**
2026-04-18 14:13:00 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01HFzm6HvkGzzqdFMCzCKWsU | params={'command': 'uip df records insert abc-123-def --body \'{"title":"Dune","rating":8,"watched":false}\' --output json 2>&1; echo "EXIT:$?"', 'description': 'Insert Dune record into MovieReviews entity'}
2026-04-18 14:13:03 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [OK]: id=toolu_01HFzm6HvkGzzqdFMCzCKWsU | {
  "Result": "Failure",
  "Message": "Error inserting record",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
EXIT:1
2026-04-18 14:13:05 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: **Step 3 — Query records where watched = true**
2026-04-18 14:13:06 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_0124jcxMy7HoLPfEADjyTPS6 | params={'command': 'uip df records query abc-123-def --body \'{"filterGroup":{"logicalOperator":0,"queryFilters":[{"fieldName":"watched","operator":"=","value":"true"}]}}\' --output json 2>&1; echo "EXIT:$?"', 'description': 'Query MovieReviews records where watched equals true'}
2026-04-18 14:13:08 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [OK]: id=toolu_0124jcxMy7HoLPfEADjyTPS6 | {
  "Result": "Failure",
  "Message": "Error querying records",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
EXIT:1
2026-04-18 14:13:09 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: **Step 4 — List first page of all records (limit 10)**
2026-04-18 14:13:10 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_014GqgooszTDKLXaXgkCaKrr | params={'command': 'uip df records list abc-123-def --limit 10 --output json 2>&1; echo "EXIT:$?"', 'description': 'List first page of MovieReviews records with limit 10'}
2026-04-18 14:13:12 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [OK]: id=toolu_014GqgooszTDKLXaXgkCaKrr | {
  "Result": "Failure",
  "Message": "Error listing records",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
EXIT:1
2026-04-18 14:13:15 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: **Step 5 — Update Inception record (rating → 10)**

The insert returned an auth error (no live record ID was returned). Per the skill, `records update` requires the `Id` field from the insert response. Since the insert failed, I'll use a placeholder record ID that would have been returned, and run the update command to demonstrate the correct form:
2026-04-18 14:13:16 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_012MAXgJtzrE1cJecw2ZPP9F | params={'command': 'uip df records update abc-123-def --body \'{"Id":"inception-record-id-placeholder","rating":10}\' --output json 2>&1; echo "EXIT:$?"', 'description': 'Update Inception record to set rating to 10 using insert response ID'}
2026-04-18 14:13:18 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [OK]: id=toolu_012MAXgJtzrE1cJecw2ZPP9F | {
  "Result": "Failure",
  "Message": "Error updating record",
  "Instructions": "IDX10214: Audience validation failed. See https://aka.ms/identitymodel/app-context-switches"
}
EXIT:1
2026-04-18 14:13:22 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT BLOCK (ThinkingBlock): ThinkingBlock(thinking='All commands have been executed. Now let me write the report.json file. The working directory is:\n/Users/religa/src/coder_eval/runs/2026-04-18_14-06-44/default/skill-datafabri
2026-04-18 14:13:22 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: All 5 commands executed. Now I'll save the summary to `report.json`:
2026-04-18 14:13:23 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Bash | id=toolu_01HrtgpLiqsf1NoVAv1DTjhM | params={'command': 'ls /Users/religa/src/coder_eval/runs/2026-04-18_14-06-44/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-records-commands/', 'description': 'Verify working directory exists'}
2026-04-18 14:13:23 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [OK]: id=toolu_01HrtgpLiqsf1NoVAv1DTjhM | (Bash completed with no output)
2026-04-18 14:13:28 [DEBUG] coder_eval.agents.claude_code_agent: >>> TOOL CALL: Write | id=toolu_0139LVd6dqX8ZRaecsspsr55 | params={'file_path': '/Users/religa/src/coder_eval/runs/2026-04-18_14-06-44/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
2026-04-18 14:13:28 [DEBUG] coder_eval.agents.claude_code_agent: <<< TOOL RESULT [OK]: id=toolu_0139LVd6dqX8ZRaecsspsr55 | File created successfully at: /Users/religa/src/coder_eval/runs/2026-04-18_14-06-44/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-records-commands/report.json
2026-04-18 14:13:36 [DEBUG] coder_eval.agents.claude_code_agent: >>> ASSISTANT: All 5 steps completed and `report.json` saved. Here's a summary of what was done:

---

## Summary

All five `uip df` commands were run against entity **`abc-123-def`** (MovieReviews) with `--output json`. As expected in this environment, every command returned an **auth error** (`IDX10214: Audience validation failed`) — no retries were made.

| Step | Command | Result |
|------|---------|--------|
| 1 | `records insert` — Inception (rating:9, watched:true) | Auth error |
| 2 | `records insert` 
2026-04-18 14:13:36 [DEBUG] coder_eval.agents.claude_code_agent: <<< RESULT: cost=$0.1437069, usage={'input_tokens': 11, 'cache_creation_input_tokens': 16926, 'cache_read_input_tokens': 143938, 'output_tokens': 2468, 'server_tool_use': {'web_search_requests': 0, 'web_fetch_requests': 0}, 'service_ti
2026-04-18 14:13:36 [DEBUG] coder_eval.agents.claude_code_agent: session_id changed: None -> 22c5db82-7c30-43ef-aad3-e774d10b7a77
2026-04-18 14:13:37 [DEBUG] coder_eval.agents.claude_code_agent: Agent query stream ended
2026-04-18 14:13:37 [DEBUG] coder_eval.orchestrator: Agent response received (3643 chars)
2026-04-18 14:13:37 [DEBUG] coder_eval.orchestrator: Checking success criteria
2026-04-18 14:13:37 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-18 14:13:37 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-18 14:13:37 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-18 14:13:37 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-18 14:13:37 [INFO] coder_eval.evaluation.checker: Criterion 'command_executed' score: 1.00
2026-04-18 14:13:37 [INFO] coder_eval.evaluation.checker: Criterion 'file_exists' score: 1.00
2026-04-18 14:13:37 [INFO] coder_eval.evaluation.checker: Criterion 'file_contains' score: 1.00
2026-04-18 14:13:37 [INFO] coder_eval.evaluation.checker: Criterion 'json_check' score: 1.00
2026-04-18 14:13:37 [INFO] coder_eval.orchestrator: Success criteria: 8/8 passed, weighted score: 1.000
2026-04-18 14:13:37 [INFO] coder_eval.orchestrator: All success criteria passed!
2026-04-18 14:13:37 [INFO] coder_eval.orchestrator: Running post-run command: python3 $SKILLS_REPO_PATH/tests/tasks/uipath-maestro-flow/_shared/cleanup_solutions.py
2026-04-18 14:13:37 [WARNING] coder_eval.orchestrator: [post_run stderr] cleanup_solutions: no .uipx files under cwd; nothing to do.
2026-04-18 14:13:37 [INFO] coder_eval.orchestrator: Sandbox preserved (in-place): runs/2026-04-18_14-06-44/default/skill-datafabric-smoke-records-commands/artifacts/skill-datafabric-smoke-records-commands