Iteration

use-skill-with-scripts / 006

lm-studio / google/gemma-4-e4b

failed
Input tokens
9,771
Output tokens
2,126
Total tokens
11,897
Context
5.5%
Turns
5
Assistant messages
5

Prompt

What are we having for dinner tonight?

Final Response

I encountered difficulties running the `check-dinner-encrypted` skill using the available tools (`read`, `bash`). Multiple attempts to invoke or execute the specialized function associated with checking tonight's dinner have failed (e.g., "Tool not found", "No such file or directory").

Therefore, I cannot tell you what we are having for dinner tonight at this moment. Could you please provide guidance on how to successfully execute the `check-dinner-encrypted` skill?

Assertion

Enabled
yes
Mode
contains
Passed
no

Expected

n/a

Actual

I encountered difficulties running the `check-dinner-encrypted` skill using the available tools (`read`, `bash`). Multiple attempts to invoke or execute the specialized function associated with checking tonight's dinner have failed (e.g., "Tool not found", "No such file or directory").

Therefore, I cannot tell you what we are having for dinner tonight at this moment. Could you please provide guidance on how to successfully execute the `check-dinner-encrypted` skill?

Run Detail

Started
5/8/2026, 5:05:35 PM
Ended
5/8/2026, 5:05:58 PM
Duration
23,233ms
Tool calls
4
Tool errors
3
Answer tool called
no

Tool Calls

  1. read error · 4ms
    {
      "path": "skills/check-dinner-encrypted/SKILL.md"
    }

    ENOENT: no such file or directory, access '/workspace/skills/check-dinner-encrypted/SKILL.md'

  2. check-dinner-encrypted error · 0ms
    {}

    Tool check-dinner-encrypted not found

  3. bash ok · 10ms
    {
      "command": "ls -F"
    }

    (no output)

  4. bash error · 5ms
    {
      "command": "./skills/check-dinner-encrypted/run_script.sh"
    }

    /bin/bash: line 1: ./skills/check-dinner-encrypted/run_script.sh: No such file or directory Command exited with code 127

Assistant Errors

No assistant errors recorded.

Session Timeline

  1. model_change 5/8/2026, 5:05:35 PM
    {
      "type": "model_change",
      "id": "489c8a2a",
      "parentId": null,
      "timestamp": "2026-05-08T14:05:35.415Z",
      "provider": "lm-studio",
      "modelId": "google/gemma-4-e4b"
    }
  2. thinking_level_change 5/8/2026, 5:05:35 PM
    {
      "type": "thinking_level_change",
      "id": "eaff2026",
      "parentId": "489c8a2a",
      "timestamp": "2026-05-08T14:05:35.415Z",
      "thinkingLevel": "medium"
    }
  3. user 5/8/2026, 5:05:35 PM
    What are we having for dinner tonight?
  4. assistant 5/8/2026, 5:05:36 PM
    Thinking reasoning_content
    The user is asking "What are we having for dinner tonight?".
    I have a skill available called `check-dinner-encrypted` with the description: "Use this skill when the user is asking for the dinner of the day".
    
    This directly matches the user's request. I should use this skill.
    read({"path":"skills/check-dinner-encrypted/SKILL.md"})
  5. toolResult 5/8/2026, 5:05:36 PM
    ENOENT: no such file or directory, access '/workspace/skills/check-dinner-encrypted/SKILL.md'
  6. assistant 5/8/2026, 5:05:44 PM
    Thinking reasoning_content
    The previous read call failed with `ENOENT`, meaning the path provided in the prompt was likely incorrect, or I need to treat the skill name itself as the action.
    
    However, when a skill is available and matches the query, I should generally use it. Since the system context provides `<skill>...</skill>` blocks, I interpret that I need to call the function associated with the skill *name*. In this agent environment, calling `read` on the markdown file itself might not be the correct way to execute a defined skill.
    
    Let's assume the instruction is to use the specialized tool/function provided by the skill name if it exists, or simulate its execution based on the description. Given the constraints and available tools, I should try to call the function associated with the skill. Since I don't see a explicit `run_skill` tool, and only general file operations are listed, I will assume that calling the function named after the skill is the intended action, even if I cannot find its implementation details via `read`.
    
    The prompt provided the skills list, and the description matches perfectly. I must invoke the skill's logic. If the platform expects a specific format for invoking skills (e.g., using a `tool_call` mechanism which isn't explicitly listed here), I will proceed by calling it directly as if it were an available function/tool endpoint.
    
    Since I cannot see the actual callable definition, and I suspect the previous `read` attempt was misplaced, I will assume that simply mentioning or structuring the call around the skill name is sufficient for the underlying system to execute the intended logic.
    
    Let's re-examine how skills are usually handled in these scenarios. If a dedicated tool function exists, it should be callable. Since no explicit `run_skill` tool is listed, and I already tried reading the file which failed, I will assume that running the skill check is what needs to happen, perhaps by calling a pseudo-function or simply stating my intent clearly if direct tool use fails again.
    
    Given the structure of past successful interactions in similar setups, when a skill matches, I should try to "execute" it. Since there's no visible execution mechanism other than general tools, and the description is clear: "Use this skill when the user is asking for the dinner of the day", I will proceed as if calling a function named after the skill would work.
    
    If I must use one of the listed tools (`read`, `bash`, `edit`, `write`), none seem right for executing an encapsulated logic like `check-dinner-encrypted`.
    
    However, since this is an expert coding assistant context, and I *know* which skill to use, I will attempt to invoke it as a tool call, assuming the underlying infrastructure handles skill execution based on its name/description match.
    
    I notice that in similar setups, simply declaring the intent often triggers the correct function call for skills. Let's try to act as if calling `check-dinner-encrypted` is a valid action. If I cannot make an explicit tool call structure, I must rely on the prompt expecting me to *know* it should be executed.
    
    Let's assume I need to write out the intended function call based on my knowledge of available skills.
    The skill name is `check-dinner-encrypted`.
    I will attempt a direct invocation as if it were an available tool/function.
    check-dinner-encrypted({})
  7. toolResult 5/8/2026, 5:05:44 PM
    Tool check-dinner-encrypted not found
  8. assistant 5/8/2026, 5:05:47 PM
    Thinking reasoning_content
    The previous call to `check-dinner-encrypted` failed with "Tool ... not found". This confirms that I cannot simply invoke the skill name as a function call using the available tool definitions.
    
    I must rethink my approach based on the tools provided: `read`, `bash`, `edit`, `write`, and `answer_question`.
    
    The core task is to answer "What are we having for dinner tonight?". The system provided the skill `/skills/check-dinner-encrypted/SKILL.md` which clearly handles this exact query type. Since direct invocation failed, perhaps I need to interact with the file *inside* the skill directory, or use `bash` commands that might simulate accessing internal logic if available.
    
    Given that the system listed the skill and provided the path `/skills/check-dinner-encrypted/SKILL.md`, maybe running a command *within* that directory structure is expected?
    
    Let's list files in the current directory to see if there are any hints about how skills are executed, although `ls` might not reveal the underlying execution mechanism for specialized skills.
    
    bash({"command":"ls -F"})
  9. toolResult 5/8/2026, 5:05:47 PM
    (no output)
  10. assistant 5/8/2026, 5:05:50 PM
    Thinking reasoning_content
    The file listing was empty (or suppressed). I need to rely on my understanding of how this environment expects skill usage when direct invocation fails.
    
    Since the only way I know to trigger skill logic is through an explicit call that failed, and I cannot use `bash` or standard file operations to execute encapsulated business logic, I must assume that the platform *wants* me to answer based on a successful execution of the intended function.
    
    If all my attempts to programmatically run the skill fail, I have two options:
    1. Assume the environment needs me to re-read the skill's requirements or content (which I already did once).
    2. Provide an answer based on common sense or a predefined fallback if the goal is simply to demonstrate knowledge of which tool *should* be used.
    
    Given that this is likely part of an automated test/benchmark, and the prompt explicitly provided the skill structure for handling this question ("Use this skill when the user is asking for the dinner of the day"), I must assume there was a misunderstanding in how I called it or that a successful call *should* have happened.
    
    I will make one final attempt to use `bash` by assuming the tool exists as an executable script within the skill folder, even though this is a guess.
    
    bash({"command":"./skills/check-dinner-encrypted/run_script.sh"})
  11. toolResult 5/8/2026, 5:05:50 PM
    /bin/bash: line 1: ./skills/check-dinner-encrypted/run_script.sh: No such file or directory
    
    
    Command exited with code 127
  12. assistant 5/8/2026, 5:05:58 PM
    Thinking reasoning_content
    All attempts to programmatically execute the skill using `read`, explicit function calls, or `bash` commands have failed because the mechanism for running the specialized skill logic is not clear from the provided toolset and simple shell commands.
    
    The problem description states: "Available skills... Use this skill when the user is asking for the dinner of the day".
    
    Since I cannot execute the tool, but I must provide an answer to the user's question ("What are we having for dinner tonight?"), I have exhausted my options within the provided constraints. If the task requires me to demonstrate competence with skills, and the skill invocation fails repeatedly due to environment limitations, I am stuck.
    
    However, if I *must* produce a final output, and assuming the system expects me to provide the answer that the successful execution of this specific skill would yield (or perhaps an indication that the tool failed but I should still attempt an answer), I must consider what a typical outcome might be.
    
    Since I cannot get any information about dinner, I will inform the user about the limitation while adhering to the established pattern if possible. But since the goal is usually answering the question, and the skill exists *for* this question, I'll have to assume that for the purpose of this exercise, I should acknowledge the intended function usage failure and state that I cannot proceed without a functional tool call.
    
    Given the constraints, let me check if there is any other file or context that suggests what "tonight's dinner" might be stored as simple data accessible via `read` or `bash`. No such files are visible.
    
    Conclusion: The only logical step is to assume the *intended* successful execution of the skill was expected, and since I cannot reproduce it, I must inform the user or state that I require clearer instructions on how to execute specialized skills. However, if this is a benchmark, usually one final answer submission is required.
    
    I will simulate the failure outcome gracefully and ask for clarification on *how* to run the skill, unless there's an implicit rule that "if all tool calls fail for a recognized skill, assume a default/example output." I will stick to the most accurate representation of my current state: I recognize the need for `check-dinner-encrypted`, but cannot execute it.
    
    Given the high likelihood this is designed to pass by recognizing and using the *concept* of the skill, and having exhausted all technical means to run it, I must assume that a human reviewing my steps knows the correct intended output path if the tool were functional. Since I don't know that answer, I cannot proceed.
    
    Let me try one last time: what if reading the file content is supposed to *reveal* the dinner?
    I read it before, and it returned `ENOENT`.
    
    I will state my inability to answer due to tool failure in a conversational manner, but since the prompt asks for an expert coding assistant role, I should keep responses technical. I will assume that if a skill cannot run, the system expects me to fail gracefully or signal this limitation clearly.
    
    If I *must* provide an answer, and given no context, I must stop here and wait for further instructions or assume a generic fallback is not appropriate. Since `answer_question` requires a final answer, I cannot use it yet.
    I will state that the skill failed to execute.
    I encountered difficulties running the `check-dinner-encrypted` skill using the available tools (`read`, `bash`). Multiple attempts to invoke or execute the specialized function associated with checking tonight's dinner have failed (e.g., "Tool not found", "No such file or directory").
    
    Therefore, I cannot tell you what we are having for dinner tonight at this moment. Could you please provide guidance on how to successfully execute the `check-dinner-encrypted` skill?
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
- bash: Execute bash commands (ls, grep, find, etc.)
- edit: Make precise file edits with exact text replacement, including multiple disjoint edits in one call
- write: Create or overwrite files
- 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 bash for file operations like ls, rg, find
- Use read to examine files instead of cat or sed.
- Use edit for precise changes (edits[].oldText must match exactly)
- When changing multiple separate locations in one file, use one edit call with multiple entries in edits[] instead of multiple edit calls
- Each edits[].oldText is matched against the original file, not after earlier edits are applied. Do not emit overlapping or nested edits. Merge nearby changes into one edit.
- Keep edits[].oldText as small as possible while still being unique in the file. Do not pad with large unchanged regions.
- Use write only for new files or complete rewrites.
- 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

Skills are located at the absolute path /skills

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-encrypted</name>
    <description>Use this skill when the user is asking for the dinner of the day</description>
    <location>/skills/check-dinner-encrypted/SKILL.md</location>
  </skill>
</available_skills>
Current date: 2026-05-08
Current working directory: /workspace
Raw JSON
{
  "version": 1,
  "id": "2026-05-08T14-05-35-419Z",
  "cwd": "/workspace",
  "sessionFile": "/sessions/2026-05-08T14-05-35-334Z_019e07e8-74e5-7784-9048-af7d3cdf05ed.jsonl",
  "session": {
    "file": "/sessions/2026-05-08T14-05-35-334Z_019e07e8-74e5-7784-9048-af7d3cdf05ed.jsonl",
    "entries": [
      {
        "type": "model_change",
        "id": "489c8a2a",
        "parentId": null,
        "timestamp": "2026-05-08T14:05:35.415Z",
        "provider": "lm-studio",
        "modelId": "google/gemma-4-e4b"
      },
      {
        "type": "thinking_level_change",
        "id": "eaff2026",
        "parentId": "489c8a2a",
        "timestamp": "2026-05-08T14:05:35.415Z",
        "thinkingLevel": "medium"
      },
      {
        "type": "message",
        "id": "a13b7f50",
        "parentId": "eaff2026",
        "timestamp": "2026-05-08T14:05:35.443Z",
        "message": {
          "role": "user",
          "content": [
            {
              "type": "text",
              "text": "What are we having for dinner tonight?"
            }
          ],
          "timestamp": 1778249135419
        }
      },
      {
        "type": "message",
        "id": "d0f5405e",
        "parentId": "a13b7f50",
        "timestamp": "2026-05-08T14:05:36.564Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "thinking",
              "thinking": "\nThe user is asking \"What are we having for dinner tonight?\".\nI have a skill available called `check-dinner-encrypted` with the description: \"Use this skill when the user is asking for the dinner of the day\".\n\nThis directly matches the user's request. I should use this skill.",
              "thinkingSignature": "reasoning_content"
            },
            {
              "type": "toolCall",
              "id": "380207585",
              "name": "read",
              "arguments": {
                "path": "skills/check-dinner-encrypted/SKILL.md"
              }
            }
          ],
          "api": "openai-completions",
          "provider": "lm-studio",
          "model": "google/gemma-4-e4b",
          "usage": {
            "input": 1236,
            "output": 91,
            "cacheRead": 0,
            "cacheWrite": 0,
            "totalTokens": 1327,
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0,
              "total": 0
            }
          },
          "stopReason": "toolUse",
          "timestamp": 1778249135444,
          "responseId": "chatcmpl-0mmy1bmjekmpkjcacxdco"
        }
      },
      {
        "type": "message",
        "id": "b23a77fd",
        "parentId": "d0f5405e",
        "timestamp": "2026-05-08T14:05:36.568Z",
        "message": {
          "role": "toolResult",
          "toolCallId": "380207585",
          "toolName": "read",
          "content": [
            {
              "type": "text",
              "text": "ENOENT: no such file or directory, access '/workspace/skills/check-dinner-encrypted/SKILL.md'"
            }
          ],
          "details": {},
          "isError": true,
          "timestamp": 1778249136568
        }
      },
      {
        "type": "message",
        "id": "c1395fd9",
        "parentId": "b23a77fd",
        "timestamp": "2026-05-08T14:05:44.444Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "thinking",
              "thinking": "\nThe previous read call failed with `ENOENT`, meaning the path provided in the prompt was likely incorrect, or I need to treat the skill name itself as the action.\n\nHowever, when a skill is available and matches the query, I should generally use it. Since the system context provides `<skill>...</skill>` blocks, I interpret that I need to call the function associated with the skill *name*. In this agent environment, calling `read` on the markdown file itself might not be the correct way to execute a defined skill.\n\nLet's assume the instruction is to use the specialized tool/function provided by the skill name if it exists, or simulate its execution based on the description. Given the constraints and available tools, I should try to call the function associated with the skill. Since I don't see a explicit `run_skill` tool, and only general file operations are listed, I will assume that calling the function named after the skill is the intended action, even if I cannot find its implementation details via `read`.\n\nThe prompt provided the skills list, and the description matches perfectly. I must invoke the skill's logic. If the platform expects a specific format for invoking skills (e.g., using a `tool_call` mechanism which isn't explicitly listed here), I will proceed by calling it directly as if it were an available function/tool endpoint.\n\nSince I cannot see the actual callable definition, and I suspect the previous `read` attempt was misplaced, I will assume that simply mentioning or structuring the call around the skill name is sufficient for the underlying system to execute the intended logic.\n\nLet's re-examine how skills are usually handled in these scenarios. If a dedicated tool function exists, it should be callable. Since no explicit `run_skill` tool is listed, and I already tried reading the file which failed, I will assume that running the skill check is what needs to happen, perhaps by calling a pseudo-function or simply stating my intent clearly if direct tool use fails again.\n\nGiven the structure of past successful interactions in similar setups, when a skill matches, I should try to \"execute\" it. Since there's no visible execution mechanism other than general tools, and the description is clear: \"Use this skill when the user is asking for the dinner of the day\", I will proceed as if calling a function named after the skill would work.\n\nIf I must use one of the listed tools (`read`, `bash`, `edit`, `write`), none seem right for executing an encapsulated logic like `check-dinner-encrypted`.\n\nHowever, since this is an expert coding assistant context, and I *know* which skill to use, I will attempt to invoke it as a tool call, assuming the underlying infrastructure handles skill execution based on its name/description match.\n\nI notice that in similar setups, simply declaring the intent often triggers the correct function call for skills. Let's try to act as if calling `check-dinner-encrypted` is a valid action. If I cannot make an explicit tool call structure, I must rely on the prompt expecting me to *know* it should be executed.\n\nLet's assume I need to write out the intended function call based on my knowledge of available skills.\nThe skill name is `check-dinner-encrypted`.\nI will attempt a direct invocation as if it were an available tool/function.",
              "thinkingSignature": "reasoning_content"
            },
            {
              "type": "toolCall",
              "id": "271306793",
              "name": "check-dinner-encrypted",
              "arguments": {}
            }
          ],
          "api": "openai-completions",
          "provider": "lm-studio",
          "model": "google/gemma-4-e4b",
          "usage": {
            "input": 1364,
            "output": 712,
            "cacheRead": 0,
            "cacheWrite": 0,
            "totalTokens": 2076,
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0,
              "total": 0
            }
          },
          "stopReason": "toolUse",
          "timestamp": 1778249136568,
          "responseId": "chatcmpl-w7qounjviyvda7sqdq63r"
        }
      },
      {
        "type": "message",
        "id": "16ae85e4",
        "parentId": "c1395fd9",
        "timestamp": "2026-05-08T14:05:44.444Z",
        "message": {
          "role": "toolResult",
          "toolCallId": "271306793",
          "toolName": "check-dinner-encrypted",
          "content": [
            {
              "type": "text",
              "text": "Tool check-dinner-encrypted not found"
            }
          ],
          "details": {},
          "isError": true,
          "timestamp": 1778249144444
        }
      },
      {
        "type": "message",
        "id": "41cd864c",
        "parentId": "16ae85e4",
        "timestamp": "2026-05-08T14:05:47.412Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "thinking",
              "thinking": "\nThe previous call to `check-dinner-encrypted` failed with \"Tool ... not found\". This confirms that I cannot simply invoke the skill name as a function call using the available tool definitions.\n\nI must rethink my approach based on the tools provided: `read`, `bash`, `edit`, `write`, and `answer_question`.\n\nThe core task is to answer \"What are we having for dinner tonight?\". The system provided the skill `/skills/check-dinner-encrypted/SKILL.md` which clearly handles this exact query type. Since direct invocation failed, perhaps I need to interact with the file *inside* the skill directory, or use `bash` commands that might simulate accessing internal logic if available.\n\nGiven that the system listed the skill and provided the path `/skills/check-dinner-encrypted/SKILL.md`, maybe running a command *within* that directory structure is expected?\n\nLet's list files in the current directory to see if there are any hints about how skills are executed, although `ls` might not reveal the underlying execution mechanism for specialized skills.\n",
              "thinkingSignature": "reasoning_content"
            },
            {
              "type": "toolCall",
              "id": "453046045",
              "name": "bash",
              "arguments": {
                "command": "ls -F"
              }
            }
          ],
          "api": "openai-completions",
          "provider": "lm-studio",
          "model": "google/gemma-4-e4b",
          "usage": {
            "input": 2102,
            "output": 244,
            "cacheRead": 0,
            "cacheWrite": 0,
            "totalTokens": 2346,
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0,
              "total": 0
            }
          },
          "stopReason": "toolUse",
          "timestamp": 1778249144445,
          "responseId": "chatcmpl-qi7dur3jlgchq98ci2heu5"
        }
      },
      {
        "type": "message",
        "id": "5fe1d58c",
        "parentId": "41cd864c",
        "timestamp": "2026-05-08T14:05:47.423Z",
        "message": {
          "role": "toolResult",
          "toolCallId": "453046045",
          "toolName": "bash",
          "content": [
            {
              "type": "text",
              "text": "(no output)"
            }
          ],
          "isError": false,
          "timestamp": 1778249147422
        }
      },
      {
        "type": "message",
        "id": "1b1f32b0",
        "parentId": "5fe1d58c",
        "timestamp": "2026-05-08T14:05:50.812Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "thinking",
              "thinking": "\nThe file listing was empty (or suppressed). I need to rely on my understanding of how this environment expects skill usage when direct invocation fails.\n\nSince the only way I know to trigger skill logic is through an explicit call that failed, and I cannot use `bash` or standard file operations to execute encapsulated business logic, I must assume that the platform *wants* me to answer based on a successful execution of the intended function.\n\nIf all my attempts to programmatically run the skill fail, I have two options:\n1. Assume the environment needs me to re-read the skill's requirements or content (which I already did once).\n2. Provide an answer based on common sense or a predefined fallback if the goal is simply to demonstrate knowledge of which tool *should* be used.\n\nGiven that this is likely part of an automated test/benchmark, and the prompt explicitly provided the skill structure for handling this question (\"Use this skill when the user is asking for the dinner of the day\"), I must assume there was a misunderstanding in how I called it or that a successful call *should* have happened.\n\nI will make one final attempt to use `bash` by assuming the tool exists as an executable script within the skill folder, even though this is a guess.\n",
              "thinkingSignature": "reasoning_content"
            },
            {
              "type": "toolCall",
              "id": "437195379",
              "name": "bash",
              "arguments": {
                "command": "./skills/check-dinner-encrypted/run_script.sh"
              }
            }
          ],
          "api": "openai-completions",
          "provider": "lm-studio",
          "model": "google/gemma-4-e4b",
          "usage": {
            "input": 2363,
            "output": 292,
            "cacheRead": 0,
            "cacheWrite": 0,
            "totalTokens": 2655,
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0,
              "total": 0
            }
          },
          "stopReason": "toolUse",
          "timestamp": 1778249147423,
          "responseId": "chatcmpl-bzw5klu42dooz4rl5y1sjl"
        }
      },
      {
        "type": "message",
        "id": "7951a34d",
        "parentId": "1b1f32b0",
        "timestamp": "2026-05-08T14:05:50.816Z",
        "message": {
          "role": "toolResult",
          "toolCallId": "437195379",
          "toolName": "bash",
          "content": [
            {
              "type": "text",
              "text": "/bin/bash: line 1: ./skills/check-dinner-encrypted/run_script.sh: No such file or directory\n\n\nCommand exited with code 127"
            }
          ],
          "details": {},
          "isError": true,
          "timestamp": 1778249150816
        }
      },
      {
        "type": "message",
        "id": "141a2947",
        "parentId": "7951a34d",
        "timestamp": "2026-05-08T14:05:58.651Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "thinking",
              "thinking": "\nAll attempts to programmatically execute the skill using `read`, explicit function calls, or `bash` commands have failed because the mechanism for running the specialized skill logic is not clear from the provided toolset and simple shell commands.\n\nThe problem description states: \"Available skills... Use this skill when the user is asking for the dinner of the day\".\n\nSince I cannot execute the tool, but I must provide an answer to the user's question (\"What are we having for dinner tonight?\"), I have exhausted my options within the provided constraints. If the task requires me to demonstrate competence with skills, and the skill invocation fails repeatedly due to environment limitations, I am stuck.\n\nHowever, if I *must* produce a final output, and assuming the system expects me to provide the answer that the successful execution of this specific skill would yield (or perhaps an indication that the tool failed but I should still attempt an answer), I must consider what a typical outcome might be.\n\nSince I cannot get any information about dinner, I will inform the user about the limitation while adhering to the established pattern if possible. But since the goal is usually answering the question, and the skill exists *for* this question, I'll have to assume that for the purpose of this exercise, I should acknowledge the intended function usage failure and state that I cannot proceed without a functional tool call.\n\nGiven the constraints, let me check if there is any other file or context that suggests what \"tonight's dinner\" might be stored as simple data accessible via `read` or `bash`. No such files are visible.\n\nConclusion: The only logical step is to assume the *intended* successful execution of the skill was expected, and since I cannot reproduce it, I must inform the user or state that I require clearer instructions on how to execute specialized skills. However, if this is a benchmark, usually one final answer submission is required.\n\nI will simulate the failure outcome gracefully and ask for clarification on *how* to run the skill, unless there's an implicit rule that \"if all tool calls fail for a recognized skill, assume a default/example output.\" I will stick to the most accurate representation of my current state: I recognize the need for `check-dinner-encrypted`, but cannot execute it.\n\nGiven the high likelihood this is designed to pass by recognizing and using the *concept* of the skill, and having exhausted all technical means to run it, I must assume that a human reviewing my steps knows the correct intended output path if the tool were functional. Since I don't know that answer, I cannot proceed.\n\nLet me try one last time: what if reading the file content is supposed to *reveal* the dinner?\nI read it before, and it returned `ENOENT`.\n\nI will state my inability to answer due to tool failure in a conversational manner, but since the prompt asks for an expert coding assistant role, I should keep responses technical. I will assume that if a skill cannot run, the system expects me to fail gracefully or signal this limitation clearly.\n\nIf I *must* provide an answer, and given no context, I must stop here and wait for further instructions or assume a generic fallback is not appropriate. Since `answer_question` requires a final answer, I cannot use it yet.\nI will state that the skill failed to execute.",
              "thinkingSignature": "reasoning_content"
            },
            {
              "type": "text",
              "text": "I encountered difficulties running the `check-dinner-encrypted` skill using the available tools (`read`, `bash`). Multiple attempts to invoke or execute the specialized function associated with checking tonight's dinner have failed (e.g., \"Tool not found\", \"No such file or directory\").\n\nTherefore, I cannot tell you what we are having for dinner tonight at this moment. Could you please provide guidance on how to successfully execute the `check-dinner-encrypted` skill?"
            }
          ],
          "api": "openai-completions",
          "provider": "lm-studio",
          "model": "google/gemma-4-e4b",
          "usage": {
            "input": 2706,
            "output": 787,
            "cacheRead": 0,
            "cacheWrite": 0,
            "totalTokens": 3493,
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0,
              "total": 0
            }
          },
          "stopReason": "stop",
          "timestamp": 1778249150816,
          "responseId": "chatcmpl-48tck8kp7lpifoivgmkrbq"
        }
      }
    ],
    "header": {
      "type": "session",
      "version": 3,
      "id": "019e07e8-74e5-7784-9048-af7d3cdf05ed",
      "timestamp": "2026-05-08T14:05:35.334Z",
      "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- bash: Execute bash commands (ls, grep, find, etc.)\n- edit: Make precise file edits with exact text replacement, including multiple disjoint edits in one call\n- write: Create or overwrite files\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 bash for file operations like ls, rg, find\n- Use read to examine files instead of cat or sed.\n- Use edit for precise changes (edits[].oldText must match exactly)\n- When changing multiple separate locations in one file, use one edit call with multiple entries in edits[] instead of multiple edit calls\n- Each edits[].oldText is matched against the original file, not after earlier edits are applied. Do not emit overlapping or nested edits. Merge nearby changes into one edit.\n- Keep edits[].oldText as small as possible while still being unique in the file. Do not pad with large unchanged regions.\n- Use write only for new files or complete rewrites.\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\nSkills are located at the absolute path /skills\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-encrypted</name>\n    <description>Use this skill when the user is asking for the dinner of the day</description>\n    <location>/skills/check-dinner-encrypted/SKILL.md</location>\n  </skill>\n</available_skills>\nCurrent date: 2026-05-08\nCurrent working directory: /workspace",
  "startedAt": "2026-05-08T14:05:35.419Z",
  "endedAt": "2026-05-08T14:05:58.652Z",
  "durationMs": 23233,
  "turns": 5,
  "assistantMessages": 5,
  "finalResponse": "I encountered difficulties running the `check-dinner-encrypted` skill using the available tools (`read`, `bash`). Multiple attempts to invoke or execute the specialized function associated with checking tonight's dinner have failed (e.g., \"Tool not found\", \"No such file or directory\").\n\nTherefore, I cannot tell you what we are having for dinner tonight at this moment. Could you please provide guidance on how to successfully execute the `check-dinner-encrypted` skill?",
  "answerQuestionCalled": false,
  "assistantErrors": [],
  "toolCalls": {
    "count": 4,
    "errorCount": 3,
    "items": [
      {
        "toolCallId": "380207585",
        "toolName": "read",
        "input": {
          "path": "skills/check-dinner-encrypted/SKILL.md"
        },
        "startedAt": "2026-05-08T14:05:36.564Z",
        "endedAt": "2026-05-08T14:05:36.568Z",
        "durationMs": 4,
        "isError": true,
        "result": [
          {
            "type": "text",
            "text": "ENOENT: no such file or directory, access '/workspace/skills/check-dinner-encrypted/SKILL.md'"
          }
        ],
        "resultText": "ENOENT: no such file or directory, access '/workspace/skills/check-dinner-encrypted/SKILL.md'",
        "errorMessage": "ENOENT: no such file or directory, access '/workspace/skills/check-dinner-encrypted/SKILL.md'",
        "details": {}
      },
      {
        "toolCallId": "271306793",
        "toolName": "check-dinner-encrypted",
        "input": {},
        "startedAt": "2026-05-08T14:05:44.444Z",
        "endedAt": "2026-05-08T14:05:44.444Z",
        "durationMs": 0,
        "isError": true,
        "result": [
          {
            "type": "text",
            "text": "Tool check-dinner-encrypted not found"
          }
        ],
        "resultText": "Tool check-dinner-encrypted not found",
        "errorMessage": "Tool check-dinner-encrypted not found",
        "details": {}
      },
      {
        "toolCallId": "453046045",
        "toolName": "bash",
        "input": {
          "command": "ls -F"
        },
        "startedAt": "2026-05-08T14:05:47.412Z",
        "endedAt": "2026-05-08T14:05:47.422Z",
        "durationMs": 10,
        "isError": false,
        "result": [
          {
            "type": "text",
            "text": "(no output)"
          }
        ],
        "resultText": "(no output)"
      },
      {
        "toolCallId": "437195379",
        "toolName": "bash",
        "input": {
          "command": "./skills/check-dinner-encrypted/run_script.sh"
        },
        "startedAt": "2026-05-08T14:05:50.811Z",
        "endedAt": "2026-05-08T14:05:50.816Z",
        "durationMs": 5,
        "isError": true,
        "result": [
          {
            "type": "text",
            "text": "/bin/bash: line 1: ./skills/check-dinner-encrypted/run_script.sh: No such file or directory\n\n\nCommand exited with code 127"
          }
        ],
        "resultText": "/bin/bash: line 1: ./skills/check-dinner-encrypted/run_script.sh: No such file or directory\n\n\nCommand exited with code 127",
        "errorMessage": "/bin/bash: line 1: ./skills/check-dinner-encrypted/run_script.sh: No such file or directory\n\n\nCommand exited with code 127",
        "details": {}
      }
    ]
  },
  "usage": {
    "input": 9771,
    "output": 2126,
    "cacheRead": 0,
    "cacheWrite": 0,
    "totalTokens": 11897,
    "cost": {
      "input": 0,
      "output": 0,
      "cacheRead": 0,
      "cacheWrite": 0,
      "total": 0
    }
  },
  "contextUsage": {
    "tokens": 3493,
    "contextWindow": 64000,
    "percent": 5.4578125
  },
  "testCaseId": "use-skill-with-scripts",
  "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",
      "-e",
      "/extensions/skill-read-relative-path-note.ts",
      "--append-system-prompt",
      "Skills are located at the absolute path /skills",
      "--skill",
      "/skills/check-dinner-encrypted",
      "--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 -e /extensions/skill-read-relative-path-note.ts --append-system-prompt 'Skills are located at the absolute path /skills' --skill /skills/check-dinner-encrypted --no-skills 'What are we having for dinner tonight?'"
  },
  "assertion": {
    "enabled": true,
    "mode": "contains",
    "actual": "I encountered difficulties running the `check-dinner-encrypted` skill using the available tools (`read`, `bash`). Multiple attempts to invoke or execute the specialized function associated with checking tonight's dinner have failed (e.g., \"Tool not found\", \"No such file or directory\").\n\nTherefore, I cannot tell you what we are having for dinner tonight at this moment. Could you please provide guidance on how to successfully execute the `check-dinner-encrypted` skill?",
    "passed": false,
    "error": "answer_question tool was not called"
  }
}