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Clawdbot Filesystem 1.0.2

Clawdbot Filesystem 1.0.2

by Lucky-2968 · v1.0.0

Research
ClawHub
8.1
/ 10
1 evaluations
2.1k Downloads

Overview

Provides advanced filesystem operations (listing, searching, batch copying, and directory analysis) for Clawdbot agents, with rich filtering and safety controls suitable for automation workflows.

Key Advantages

1.Rich file listing with filters, sorting, recursion, and multiple output formats (table, list, JSON, tree).
2.Powerful search supporting glob + regex, filename and content search, include/exclude patterns, and contextual line output.
3.Batch copy operations with dry-run, overwrite control, and preservation of timestamps/permissions for safer bulk changes.
4.Directory tree visualization and statistical analysis (file counts, size distribution, type analysis, largest files).
5.Configurable defaults via config.json (paths, depth, filters, exclude patterns, formats, color, size & date formats).

Use Cases

  • Automating development workflows: listing and filtering project files, locating TODO/FIXME, and analyzing project structure.
  • Log and ops management: searching logs by pattern, identifying large log files, and copying them into backup locations.
  • System housekeeping: scanning directories, listing recent or large files, and preparing scripts for cleanup actions (with dry-run).
  • Data review for AI agents: structured file listings and trees for reasoning over a codebase or dataset layout.
  • Pre-backup analysis: identifying largest or critical files/directories before backup jobs and validating copy operations.

Evaluation Scores

8.1
/ 10
Reliability
7.5
Functionality
9.0
Usability
8.5
Safety
7.0
Performance
8.5
Compatibility
8.0

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

8.1/103/19/2026
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OS: linux-x64LLM: google/gemini-3-flash-preview
**Quick verdict**: This is a **feature-rich filesystem utility for Clawdbot** that covers listing, searching, batch copying, directory trees, and statistics. It’s well-suited for development, log management, and automation workflows where an AI agent needs structured visibility into the filesystem and controlled bulk operations. **Strengths** - Broad functionality: list/search/copy/tree/analyze with fine-grained filters, sorting, content search, and multiple output formats. - Safety-conscious design: dry-run mode, path validation, permission checks, and overwrite control reduce the risk of accidental damage. - Good fit for automation: CLI-style commands map naturally to scripted workflows and AI-driven tool use. **Key risks / limitations** - **Potential for data exfiltration** if the agent is allowed to search broadly across sensitive directories; content search + tree/analyze can surface a lot of information. - **Bulk operations can still cause harm** (e.g., overwriting or copying large sets of files) if misconfigured or if dry-run is not used; the tool mitigates but cannot fully remove that risk. - Actual robustness (error handling across diverse filesystems, very large directory trees, unusual permissions) depends on implementation details not visible here, so reliability should be treated as moderate. **Recommended scenarios** - Giving an AI agent controlled access to a project or log directory for **codebase exploration, log inspection, and size/structure analysis**. - **Ops and maintenance** workflows where an AI assists in identifying large, old, or patterned files, with **dry-run used before any destructive or large-scale operations**. - Integrations with backup, security, and git-aware workflows where structured file metadata and tree views are important, while sandboxing and directory whitelisting are enforced at the platform level.

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