detect-file-type-localLocal, offline AI-powered file type detection — no network, no API keys
Install via ClawdBot CLI:
clawdbot install pgeraghty/detect-file-type-localGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Contains telemetry, tracking, or analytics calls not mentioned in documentation
pixel (Calls external URL not in known-safe list
https://github.com/pgeraghty/openclaw-detect-file-type-localAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
A web application uses this skill to scan user-uploaded files locally before processing, ensuring the file type matches its content to prevent malicious uploads like disguised executables. This is critical for platforms handling sensitive documents or media, enhancing security without compromising user privacy by keeping data on-premises.
Security teams employ the skill to analyze files during digital forensics, detecting masquerading files and polyglot payloads in compromised systems without internet access. It helps identify malicious artifacts by content, supporting investigations in isolated environments where data cannot leave the machine.
Organizations migrating data between systems use this skill to verify file types by content, ensuring extensions match actual formats to prevent corruption. It is useful in IT operations for auditing directories recursively, flagging mismatches before transfer to maintain data quality and compliance.
A media platform integrates the skill to screen uploaded files locally, detecting file types to enforce content policies without sending user data to external APIs. This protects user privacy while filtering inappropriate or dangerous file types, ideal for applications in healthcare or education with strict data handling requirements.
Software developers embed this skill in automated pipelines to triage files by type before processing, such as in CI/CD systems or data ingestion workflows. It ensures correct handling of diverse file formats locally, reducing errors and improving efficiency in development and data science projects.
Offer the skill as free open-source software while providing paid support, customization, and training services for enterprises. Revenue is generated through consulting contracts, helping organizations integrate and optimize the tool for their specific security or data workflows.
License the skill to cybersecurity SaaS providers as an embedded component for file analysis features. Revenue comes from licensing fees based on usage or seats, enabling providers to enhance their offerings with local, privacy-preserving detection without developing the capability in-house.
Sell the skill as part of an on-premise security or data management suite for industries with strict data sovereignty requirements. Revenue is generated through one-time purchases or annual subscriptions, including updates and maintenance, targeting government or financial sectors needing offline operation.
💬 Integration Tip
Install via pip and call from command line or Python module; ensure Python3 is available and consider using the JSON output for easy parsing in automated scripts.
Scored Apr 19, 2026
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