---
name: file-locate-verify-9199ffb6805e
description: Systematic workflow to resolve FileNotFoundError by locating and verifying file paths
---

# File Locate and Verify Workflow

When encountering FileNotFoundError or uncertain file paths, follow this systematic pattern to safely locate and verify files before executing operations.

## When to Use

- You receive a FileNotFoundError or similar path-related error
- You need to work with files whose exact location is unknown
- You want to verify file existence before executing operations that depend on those files

## Step-by-Step Procedure

### Step 1: Check Current Directory Contents

First, use `list_dir` to inspect what files exist in your current working directory:

```python
# Use the list_dir tool to see current directory contents
list_dir(path=".")
```

This reveals files in the immediate context and helps determine if you need to search elsewhere.

### Step 2: Search for the File Using Find

If the file is not in the current directory, use the `find` command to locate it by name:

```bash
# Search for a specific file by name (case-insensitive)
find . -iname "filename.pdf" 2>/dev/null

# Or search from root for system-wide files
find / -name "filename.pdf" 2>/dev/null
```

**Tips:**
- Use `-iname` for case-insensitive matching
- Redirect stderr with `2>/dev/null` to suppress permission errors
- Narrow the search scope when possible for better performance

### Step 3: Verify the Discovered Path

Before executing any operations on the discovered file, verify it exists and check its properties:

```bash
# Verify file existence and permissions at the full path
ls -la /full/path/to/discovered/file.pdf
```

This confirms:
- The file actually exists at the located path
- File permissions (can you read/write it?)
- File size and modification time

### Step 4: Execute Your Operation Safely

Only after verification, proceed with your intended operation:

```python
# Now safe to work with the verified path
file_path = "/full/path/to/discovered/file.pdf"
# ... your extraction or processing code here
```

## Complete Example

```python
# Task: Process a file that may be in an unknown location

# Step 1: Check current directory
dir_contents = list_dir(path=".")
print(f"Current directory contains: {dir_contents}")

# Step 2: Find the file if not present
if "target_file.xlsx" not in dir_contents:
    result = run_shell(command='find . -iname "target_file.xlsx" 2>/dev/null')
    file_path = result.stdout.strip().split('\n')[0]
    print(f"Found file at: {file_path}")

# Step 3: Verify before proceeding
verification = run_shell(command=f'ls -la {file_path}')
print(f"Verification: {verification.stdout}")

# Step 4: Proceed with operation
# ... your code to process the file
```

## Common Pitfalls to Avoid

1. **Skipping verification**: Never assume the path from `find` is correct without checking
2. **Using relative paths blindly**: Always convert to absolute paths when possible
3. **Ignoring permissions**: `ls -la` reveals if you have read/write access
4. **Hardcoding paths**: Always dynamically locate files when location is uncertain

## Related Tools

- `list_dir`: Inspect directory contents
- `run_shell`: Execute find and ls commands
- `read_file`: Read file contents after verification
- `shell_agent`: Delegate complex file operations after path is confirmed

---
Source attribution: xyliu-cs
Original project: https://github.com/xyliu-cs/OpenSpace-GDPval/blob/af1b40a42167d09c30b3a63000aa14ace4c1e229/gdpval_bench/skills/file-locate-verify/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

MIT License

Copyright (c) 2026 ✨Data Intelligence Lab@HKU✨

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Dave AI resource metadata

Creator / publisher: xyliu-cs
Original project: https://github.com/xyliu-cs/OpenSpace-GDPval/blob/af1b40a42167d09c30b3a63000aa14ace4c1e229/gdpval_bench/skills/file-locate-verify/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Development & Engineering
Roles: Backend Developer, Data Analyst, DevOps / SRE
Specialties: API, Backend, Cross Platform
Tools: List_Dir, Run_Shell
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 13f9e936fc86f8a3a192a50e07b79234d8d1b8af4f64bc67cc44c596b46d1c87