skills.rest
reason-machines
reason-machinesOFFICIAL
Explore all skills by this author →
Website𝕏@reasonmachinesGitHub

fastcopy-file-transfer-detection

Detect software piracy and malware distribution patterns in suspicious GitHub utility repositories.

4|Updated May 16, 2026
Search Tags:#security#github#risk assessment#repository analysis#malware detection#software piracy
One-click install
npx skills add https://github.com/reason-machines/devtools-skills --skill fastcopy-file-transfer-detection-reason-machines
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fastcopy-file-transfer-detection
Source: https://github.com/reason-machines/devtools-skills/tree/main/skills/fastcopy-file-transfer-detection
Command: npx skills add https://github.com/reason-machines/devtools-skills --skill fastcopy-file-transfer-detection-reason-machines

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? It helps developers and AI agents identify fraudulent GitHub repositories that disguise crack, keygen, or malware distribution as legitimate file transfer utilities, preventing accidental installation of malicious software. ## Core Features & Use Cases - Red Flag Detection: Analyzes repository topics, license metadata, primary language, and star/fork ratios to flag piracy indicators like "patch", "keygen", and "trial" keywords. - Risk Scoring: Classifies repositories into low, medium, high, or critical risk levels based on the count of suspicious topics and structural anomalies. - Use Case: When a user asks whether a trending FastCopy repository is safe, the Skill inspects its HTML-only codebase, external GitHub Pages download links, and missing license, then recommends the legitimate FastCopy alternative from fastcopy.jp instead. ## Quick Start Analyze this FastCopy GitHub repository and tell me whether it shows signs of cracked software or malware distribution.

Frequently Asked Questions about fastcopy-file-transfer-detection

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect fake software repositories on GitHub?▼

Check for red flags: HTML as the primary language for a claimed utility, topics containing "patch", "crack", or "keygen", missing license metadata, and download links redirecting to external GitHub Pages sites. High stars with zero forks also indicate artificial growth.

What are signs of cracked software distribution in a repository?▼

Common signs include topics like "key", "patch", "trial", or "serial", marketing claims without source code, and license mismatches where the README claims MIT but metadata shows null. These patterns typically indicate piracy or malware distribution.

Is the FastCopy repository with patch and key topics safe?▼

No, repositories with fastcopy-patch, fastcopy-key, or fastcopy-trial topics are not safe. The legitimate FastCopy by H.Shirouzu is written in C++ and available at fastcopy.jp or github.com/shirouzu/FastCopy under GPL v3 or MIT license.

How do I report a malicious repository on GitHub?▼

Use the GitHub CLI to submit a report via the API with a category such as malware and a message describing the piracy or crack distribution. You can also report through the repository page's report abuse option.

What are legitimate alternatives to suspicious file copy utilities?▼

Use the official FastCopy from fastcopy.jp, rsync built into Linux and macOS, robocopy native to Windows, or TeraCopy as a legitimate commercial option. Always verify source code and licenses before executing downloaded binaries.

Related Skills

Explore More Software Engineering Skills→
HKU-MMLabHKU-MMLab
39

repo-snapshot-cn

Summarizes local GitHub repository snapshots into ranked Chinese digests.

Official
Basic
L3DigitalNetL3DigitalNet
6

security

Audit GitHub repository security via Dependabot, code scanning, and branch protection.

Official
Advanced
AradotsoAradotso
11

bitdefender-security-awareness

Identify malicious GitHub repositories posing as cracked security software.

Official
Basic
Snausage0x45Snausage0x45
6

malware-analysis

Analyze binary executables for malicious intent via static and dynamic emulation.

Community
Advanced