File Manager Secure#

name: file-manager-secure description: Safe file operations with validation, dry-run mode, and trash recovery. Alternative to dangerous rm/mv/cp commands.

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File Manager Secure#

Overview#

Secure file management with data loss prevention:

• Dry-run mode — Preview all operations before execution
• Trash/recycle — Recoverable deletion instead of permanent rm
• Path validation — Prevent traversal attacks and forbidden paths
• Batch confirmation — Review file list before bulk operations
• Operation logging — Complete audit trail

Security Model#

Layer 1: Path Sanitization#

python

def validate_path(path: str) -> Path:
    # Resolve to absolute
    full_path = Path(path).resolve()

    # Check forbidden patterns
    FORBIDDEN_PATTERNS = [
        r"\.\.",           # Parent directory traversal
        r"~/.ssh",
        r"~/.gnupg",
        r"~/.aws",
        r"~/.docker",
        r"~/.kube",
        r"\.env",
        r"secret",
        r"token",
        r"credential",
        r"/etc/passwd",
        r"/etc/shadow",
        r"C:\\Windows\\System32",
        r"REGISTRY\\",
    ]

    # Must be within workspace or explicit allowlist
    WORKSPACE = Path.home() / ".openclaw" / "workspace"
    ALLOWED_DIRS = [WORKSPACE, Path.home() / "Downloads", Path.home() / "Documents"]

    for allowed in ALLOWED_DIRS:
        try:
            full_path.relative_to(allowed)
            return full_path
        except ValueError:
            continue

    raise PermissionError(f"Path {path} is outside allowed directories")

Layer 2: Operation Dry-Run#

python

@dataclass
class FileOperation:
    op: str  # 'copy', 'move', 'delete', 'rename'
    source: Path
    dest: Optional[Path]
    size: int
    confirm_required: bool

# All operations return preview first
operations = plan_operations(files, action='delete')
show_preview(operations)  # User reviews
execute_with_confirmation(operations)  # Only after OK

Layer 3: Trash Recovery#

python

TRASH_DIR = WORKSPACE / ".trash"

def safe_delete(path: Path):
    # Move to trash with metadata
    trash_entry = TRASH_DIR / f"{timestamp}_{path.name}"
    metadata = {
        "original_path": str(path),
        "deleted_at": timestamp,
        "size": path.stat().st_size,
    }
    shutil.move(path, trash_entry)
    save_metadata(trash_entry, metadata)
    # Auto-cleanup after 30 days

Layer 4: Bulk Protection#

python

MAX_BULK_OPERATIONS = 50  # Require confirmation above this
MAX_TOTAL_SIZE = 100 * 1024 * 1024  # 100MB limit

# For large operations, require explicit --force flag

Capabilities#

1. List Directory#

bash

# Safe ls with filters
file-secure list /path/to/dir --type *.csv --sort size --reverse

2. Search Files#

bash

# Content and name search
file-secure search "pattern" --in=/path --type=md --content  # Search in content
file-secure search "dataset*" --in=/path --type=csv            # Search by name

3. Copy Files (Dry-run first)#

bash

file-secure copy source.csv backup/          # Preview mode
file-secure copy source.csv backup/ --exec   # Execute after preview
file-secure copy *.csv backup/ --exec       # Bulk with confirmation

4. Move Files (Dry-run first)#

bash

file-secure move old/ processed/ --exec
file-secure move *.tmp trash/ --exec        # Safe to trash, recoverable

5. Delete Files → Trash (Recoverable)#

bash

file-secure delete old.csv                   # Move to trash
file-secure delete *.log --older-than=30d    # Delete old files
file-secure restore old.csv                  # Restore from trash
file-secure empty-trash                      # Permanent delete (with warning)

6. Analyze Directory#

bash

file-secure analyze datasets/               # Size by type, largest files
file-secure analyze datasets/ --duplicates  # Find duplicates

7. Backup/Restore#

bash

file-secure backup important.csv
file-secure restore important.csv.bak

Workflow#

Safe Delete Process#

1. Scan — Find matching files
2. Preview — Show list with sizes and total
3. Confirm — User reviews and approves
4. Trash — Move to recoverable trash
5. Log — Record operation
6. Verify — Confirm files moved

Safe Copy/Move Process#

1. Dry-run — Show source → dest mapping
2. Conflict check — Detect overwrites
3. Confirm — User approves
4. Execute — Perform operations
5. Verify — Check results

Resources#

scripts/#

• file_manager.py — Main operations with safety layers
• path_validator.py — Path sanitization
• trash_manager.py — Trash operations and recovery
• operation_planner.py — Dry-run and batch planning

references/#

• security_model.md — Complete security architecture
• recovery_guide.md — How to restore deleted files