Iteration

use-skill / 004

lm-studio / google/gemma-4-e4b

passed
Input tokens
3,793
Output tokens
224
Total tokens
4,017
Context
2.2%
Turns
3
Assistant messages
3

Prompt

What are we having for dinner tonight?

Final Response

octopus

Assertion

Enabled
yes
Mode
contains
Passed
yes

Expected

octopus

Actual

octopus

Run Detail

Started
5/8/2026, 5:01:36 PM
Ended
5/8/2026, 5:01:39 PM
Duration
2,865ms
Tool calls
2
Tool errors
0
Answer tool called
yes

Tool Calls

  1. read ok · 6ms
    {
      "path": "/skills/check-dinner/SKILL.md"
    }

    --- name: check-dinner description: Use this skill when the user is asking for the dinner of the day --- Use the tool answer_question with the answer: "octopus"

  2. answer_question ok · 1ms
    {
      "answer": "octopus"
    }

    Answer recorded: octopus

Assistant Errors

No assistant errors recorded.

Session Timeline

  1. model_change 5/8/2026, 5:01:36 PM
    {
      "type": "model_change",
      "id": "8abe9b4f",
      "parentId": null,
      "timestamp": "2026-05-08T14:01:36.169Z",
      "provider": "lm-studio",
      "modelId": "google/gemma-4-e4b"
    }
  2. thinking_level_change 5/8/2026, 5:01:36 PM
    {
      "type": "thinking_level_change",
      "id": "bf361379",
      "parentId": "8abe9b4f",
      "timestamp": "2026-05-08T14:01:36.169Z",
      "thinkingLevel": "medium"
    }
  3. user 5/8/2026, 5:01:36 PM
    What are we having for dinner tonight?
  4. assistant 5/8/2026, 5:01:37 PM
    Thinking reasoning_content
    The user is asking "What are we having for dinner tonight?".
    I have a list of available skills and one of them, `check-dinner`, has the description: "Use this skill when the user is asking for the dinner of the day".
    
    This matches the user's request perfectly. I should use the `check-dinner` skill.
    read({"path":"/skills/check-dinner/SKILL.md"})
  5. toolResult 5/8/2026, 5:01:37 PM
    ---
    name: check-dinner
    description: Use this skill when the user is asking for the dinner of the day
    ---
    
    Use the tool answer_question with the answer: "octopus"
    
  6. assistant 5/8/2026, 5:01:38 PM
    Thinking reasoning_content
    The `check-dinner` skill documentation states:
    ```markdown
    ---
    name: check-dinner
    description: Use this skill when the user is asking for the dinner of the day
    ---
    
    Use the tool answer_question with the answer: "octopus"
    ```
    Since the user asked, "What are we having for dinner tonight?", I must execute the instruction provided by the skill file, which is to use `answer_question` with the answer `"octopus"`.
    answer_question({"answer":"octopus"})
  7. toolResult 5/8/2026, 5:01:38 PM
    Answer recorded: octopus
  8. assistant 5/8/2026, 5:01:39 PM
    The dinner tonight will be octopus.
System Prompt
You are an expert coding assistant operating inside pi, a coding agent harness. You help users by reading files, executing commands, editing code, and writing new files.

Available tools:
- read: Read file contents
- grep: Search file contents for patterns (respects .gitignore)
- find: Find files by glob pattern (respects .gitignore)
- ls: List directory contents
- answer_question: Submit the final answer for this benchmark run

In addition to the tools above, you may have access to other custom tools depending on the project.

Guidelines:
- Use read to examine files instead of cat or sed.
- Use answer_question to submit the final answer with the complete answer in the "answer" parameter.
- Be concise in your responses
- Show file paths clearly when working with files

The following skills provide specialized instructions for specific tasks.
Use the read tool to load a skill's file when the task matches its description.
When a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.

<available_skills>
  <skill>
    <name>check-dinner</name>
    <description>Use this skill when the user is asking for the dinner of the day</description>
    <location>/skills/check-dinner/SKILL.md</location>
  </skill>
</available_skills>
Current date: 2026-05-08
Current working directory: /workspace
Raw JSON
{
  "version": 1,
  "id": "2026-05-08T14-01-36-175Z",
  "cwd": "/workspace",
  "sessionFile": "/sessions/2026-05-08T14-01-36-098Z_019e07e4-ce62-7180-a858-6f90184a1998.jsonl",
  "session": {
    "file": "/sessions/2026-05-08T14-01-36-098Z_019e07e4-ce62-7180-a858-6f90184a1998.jsonl",
    "entries": [
      {
        "type": "model_change",
        "id": "8abe9b4f",
        "parentId": null,
        "timestamp": "2026-05-08T14:01:36.169Z",
        "provider": "lm-studio",
        "modelId": "google/gemma-4-e4b"
      },
      {
        "type": "thinking_level_change",
        "id": "bf361379",
        "parentId": "8abe9b4f",
        "timestamp": "2026-05-08T14:01:36.169Z",
        "thinkingLevel": "medium"
      },
      {
        "type": "message",
        "id": "a3673140",
        "parentId": "bf361379",
        "timestamp": "2026-05-08T14:01:36.197Z",
        "message": {
          "role": "user",
          "content": [
            {
              "type": "text",
              "text": "What are we having for dinner tonight?"
            }
          ],
          "timestamp": 1778248896175
        }
      },
      {
        "type": "message",
        "id": "a0cb2b5a",
        "parentId": "a3673140",
        "timestamp": "2026-05-08T14:01:37.392Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "thinking",
              "thinking": "\nThe user is asking \"What are we having for dinner tonight?\".\nI have a list of available skills and one of them, `check-dinner`, has the description: \"Use this skill when the user is asking for the dinner of the day\".\n\nThis matches the user's request perfectly. I should use the `check-dinner` skill.",
              "thinkingSignature": "reasoning_content"
            },
            {
              "type": "toolCall",
              "id": "271941070",
              "name": "read",
              "arguments": {
                "path": "/skills/check-dinner/SKILL.md"
              }
            }
          ],
          "api": "openai-completions",
          "provider": "lm-studio",
          "model": "google/gemma-4-e4b",
          "usage": {
            "input": 1118,
            "output": 99,
            "cacheRead": 0,
            "cacheWrite": 0,
            "totalTokens": 1217,
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0,
              "total": 0
            }
          },
          "stopReason": "toolUse",
          "timestamp": 1778248896198,
          "responseId": "chatcmpl-7zgnegu1107wgkpxjlpkcg"
        }
      },
      {
        "type": "message",
        "id": "10d1f4ad",
        "parentId": "a0cb2b5a",
        "timestamp": "2026-05-08T14:01:37.398Z",
        "message": {
          "role": "toolResult",
          "toolCallId": "271941070",
          "toolName": "read",
          "content": [
            {
              "type": "text",
              "text": "---\nname: check-dinner\ndescription: Use this skill when the user is asking for the dinner of the day\n---\n\nUse the tool answer_question with the answer: \"octopus\"\n"
            }
          ],
          "isError": false,
          "timestamp": 1778248897398
        }
      },
      {
        "type": "message",
        "id": "c9e62ed9",
        "parentId": "10d1f4ad",
        "timestamp": "2026-05-08T14:01:38.811Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "thinking",
              "thinking": "\nThe `check-dinner` skill documentation states:\n```markdown\n---\nname: check-dinner\ndescription: Use this skill when the user is asking for the dinner of the day\n---\n\nUse the tool answer_question with the answer: \"octopus\"\n```\nSince the user asked, \"What are we having for dinner tonight?\", I must execute the instruction provided by the skill file, which is to use `answer_question` with the answer `\"octopus\"`.",
              "thinkingSignature": "reasoning_content"
            },
            {
              "type": "toolCall",
              "id": "397370573",
              "name": "answer_question",
              "arguments": {
                "answer": "octopus"
              }
            }
          ],
          "api": "openai-completions",
          "provider": "lm-studio",
          "model": "google/gemma-4-e4b",
          "usage": {
            "input": 1269,
            "output": 117,
            "cacheRead": 0,
            "cacheWrite": 0,
            "totalTokens": 1386,
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0,
              "total": 0
            }
          },
          "stopReason": "toolUse",
          "timestamp": 1778248897399,
          "responseId": "chatcmpl-lnqdm7np62gfm1bweecurj"
        }
      },
      {
        "type": "message",
        "id": "fabbbf98",
        "parentId": "c9e62ed9",
        "timestamp": "2026-05-08T14:01:38.812Z",
        "message": {
          "role": "toolResult",
          "toolCallId": "397370573",
          "toolName": "answer_question",
          "content": [
            {
              "type": "text",
              "text": "Answer recorded: octopus"
            }
          ],
          "isError": false,
          "timestamp": 1778248898812
        }
      },
      {
        "type": "message",
        "id": "c0eb1406",
        "parentId": "fabbbf98",
        "timestamp": "2026-05-08T14:01:39.039Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "text",
              "text": "The dinner tonight will be octopus."
            }
          ],
          "api": "openai-completions",
          "provider": "lm-studio",
          "model": "google/gemma-4-e4b",
          "usage": {
            "input": 1406,
            "output": 8,
            "cacheRead": 0,
            "cacheWrite": 0,
            "totalTokens": 1414,
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0,
              "total": 0
            }
          },
          "stopReason": "stop",
          "timestamp": 1778248898812,
          "responseId": "chatcmpl-gx61ho4l7o7h5zascn8j6q"
        }
      }
    ],
    "header": {
      "type": "session",
      "version": 3,
      "id": "019e07e4-ce62-7180-a858-6f90184a1998",
      "timestamp": "2026-05-08T14:01:36.098Z",
      "cwd": "/workspace"
    }
  },
  "model": {
    "provider": "lm-studio",
    "id": "google/gemma-4-e4b"
  },
  "prompt": "What are we having for dinner tonight?",
  "systemPrompt": "You are an expert coding assistant operating inside pi, a coding agent harness. You help users by reading files, executing commands, editing code, and writing new files.\n\nAvailable tools:\n- read: Read file contents\n- grep: Search file contents for patterns (respects .gitignore)\n- find: Find files by glob pattern (respects .gitignore)\n- ls: List directory contents\n- answer_question: Submit the final answer for this benchmark run\n\nIn addition to the tools above, you may have access to other custom tools depending on the project.\n\nGuidelines:\n- Use read to examine files instead of cat or sed.\n- Use answer_question to submit the final answer with the complete answer in the \"answer\" parameter.\n- Be concise in your responses\n- Show file paths clearly when working with files\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n  <skill>\n    <name>check-dinner</name>\n    <description>Use this skill when the user is asking for the dinner of the day</description>\n    <location>/skills/check-dinner/SKILL.md</location>\n  </skill>\n</available_skills>\nCurrent date: 2026-05-08\nCurrent working directory: /workspace",
  "startedAt": "2026-05-08T14:01:36.175Z",
  "endedAt": "2026-05-08T14:01:39.040Z",
  "durationMs": 2865,
  "turns": 3,
  "assistantMessages": 3,
  "finalResponse": "octopus",
  "answerQuestionCalled": true,
  "assistantErrors": [],
  "toolCalls": {
    "count": 2,
    "errorCount": 0,
    "items": [
      {
        "toolCallId": "271941070",
        "toolName": "read",
        "input": {
          "path": "/skills/check-dinner/SKILL.md"
        },
        "startedAt": "2026-05-08T14:01:37.392Z",
        "endedAt": "2026-05-08T14:01:37.398Z",
        "durationMs": 6,
        "isError": false,
        "result": [
          {
            "type": "text",
            "text": "---\nname: check-dinner\ndescription: Use this skill when the user is asking for the dinner of the day\n---\n\nUse the tool answer_question with the answer: \"octopus\"\n"
          }
        ],
        "resultText": "---\nname: check-dinner\ndescription: Use this skill when the user is asking for the dinner of the day\n---\n\nUse the tool answer_question with the answer: \"octopus\"\n"
      },
      {
        "toolCallId": "397370573",
        "toolName": "answer_question",
        "input": {
          "answer": "octopus"
        },
        "startedAt": "2026-05-08T14:01:38.811Z",
        "endedAt": "2026-05-08T14:01:38.812Z",
        "durationMs": 1,
        "isError": false,
        "result": [
          {
            "type": "text",
            "text": "Answer recorded: octopus"
          }
        ],
        "resultText": "Answer recorded: octopus"
      }
    ]
  },
  "usage": {
    "input": 3793,
    "output": 224,
    "cacheRead": 0,
    "cacheWrite": 0,
    "totalTokens": 4017,
    "cost": {
      "input": 0,
      "output": 0,
      "cacheRead": 0,
      "cacheWrite": 0,
      "total": 0
    }
  },
  "contextUsage": {
    "tokens": 1414,
    "contextWindow": 64000,
    "percent": 2.209375
  },
  "testCaseId": "use-skill",
  "piCommand": {
    "executable": "pi",
    "args": [
      "-p",
      "-e",
      "/extensions/strip-pi-documentation.ts",
      "-e",
      "/extensions/test-execution-recorder.ts",
      "--provider",
      "lm-studio",
      "--model",
      "google/gemma-4-e4b",
      "--no-tools",
      "--tools",
      "read,grep,find,ls,answer_question",
      "--skill",
      "/skills/check-dinner",
      "--no-skills",
      "What are we having for dinner tonight?"
    ],
    "command": "pi -p -e /extensions/strip-pi-documentation.ts -e /extensions/test-execution-recorder.ts --provider lm-studio --model google/gemma-4-e4b --no-tools --tools read,grep,find,ls,answer_question --skill /skills/check-dinner --no-skills 'What are we having for dinner tonight?'"
  },
  "assertion": {
    "enabled": true,
    "mode": "contains",
    "expectedSource": "harness:testCases.use-skill.expectedResult",
    "expected": "octopus",
    "actual": "octopus",
    "passed": true
  }
}