object_counter

• Risk level: Low
• Analyzed: Apr 14, 2026, 11:33 AM
• Findings: 0
• Version: 0.1.0

Overview

The skill's code and instructions are internally consistent with its stated purpose (local template-based object counting); it doesn't request secrets, network access, or unusual installs, though it omits declaring normal Python dependencies.

This skill appears to do what it says: local template-based object counting. Before installing or running it: 1) Review and run the script in a disposable/virtualenv environment; install required Python packages (opencv-python, numpy) yourself rather than assuming they're present. 2) Use non-sensitive local images for testing—the script processes files locally and does not transmit data, but confirm your agent/environment's filesystem permissions. 3) Note template matching has limits (false positives/negatives) and the CLI includes unused choices (denoise, super_resolution) — benign but sloppy. 4) If you plan to let an autonomous agent invoke this skill, ensure the agent's access to local directories is restricted to the image folders you intend to process.