Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
Detect File Type - Local
Local, offline AI-powered file type detection — no network, no API keys
skill openclawclawhub Free
Local, offline AI-powered file type detection — no network, no API keys
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SECURITY.md, SKILL.md, THIRD_PARTY_LICENSES.md, detect_file_type/__init__.py, detect_file_type/__main__.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.2.0
Provenance
- Publisher
- pgeraghty
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Detect File Type - Local
Local-only, offline file type detection. Uses an embedded ML model (Google Magika) to identify 214 file types by content — no network calls, no API keys, no data leaves the machine. All inference runs on-device via ONNX Runtime.
When to Use
Identify unknown files by their content (not just extension) — locally, without sending data anywhere Verify that a file's extension matches its actual content Check MIME types before processing uploads or downloads Triage files in a directory by type Detect extension mismatches and masquerading (e.g., .pdf.exe, .xlsx.lnk) Flag suspicious polyglot-style payloads (for example PDF/ZIP or PDF/HTA-style chains) When privacy matters — file bytes never leave the local machine
Installation
pip install detect-file-type-local From source: pip install -e /path/to/detect-file-type-skill
Single file
detect_file_type path/to/file
Multiple files
detect_file_type file1.pdf file2.png file3.zip
Recursive directory scan
detect_file_type --recursive ./uploads/
From stdin
cat mystery_file | detect_file_type - # Optional best-effort fast path (head only) cat mystery_file | detect_file_type --stdin-mode head --stdin-max-bytes 1048576 -
Output formats
detect_file_type --json file.pdf # JSON (default) detect_file_type --human file.pdf # Human-readable detect_file_type --mime file.pdf # Bare MIME type
Programmatic (Python)
python -m detect_file_type path/to/file
Output Schema (JSON)
Single file returns an object; multiple files return an array. { "path": "document.pdf", "label": "pdf", "mime_type": "application/pdf", "score": 0.99, "group": "document", "description": "PDF document", "is_text": false }
Fields
FieldTypeDescriptionpathstringInput path (or - for stdin)labelstringDetected file type label (e.g., pdf, png, python)mime_typestringMIME type (e.g., application/pdf)scorefloatConfidence score (0.0–1.0)groupstringCategory (e.g., document, image, code)descriptionstringHuman-readable descriptionis_textboolWhether the file is text-based
Exit Codes
CodeMeaning0All files detected successfully1Fatal error (no results produced)2Partial failure (some files failed, some succeeded)
Error Handling
Errors are printed to stderr. Common cases: File not found: error: path/to/file: No such file or directory Permission denied: error: path/to/file: Permission denied Not a regular file: error: path/to/dir: Not a regular file When processing multiple files, detection continues for remaining files even if some fail.
Limitations
Default stdin mode (spool) writes stdin to a temporary file and uses Magika path detection. --stdin-mode head is best effort and may miss trailing-byte signatures. Very small files (< ~16 bytes) may produce low-confidence results Empty files are detected as empty Detection is content-based — file extensions are ignored
Security Context
MITRE ATT&CK: Masquerading Proofpoint: Call It What You Want, Threat Actor Delivers Highly Targeted Multistage Polyglot
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs2 Scripts
- SKILL.md
- README.md
- SECURITY.md
- THIRD_PARTY_LICENSES.md
- detect_file_type/__init__.py
- detect_file_type/__main__.py