General OCR Struct

Security checks across static analysis, malware telemetry, and agentic risk

Overview

This skill coherently runs local OCR on user-provided images and shows no exfiltration, persistence, credential use, or destructive behavior, but users should install its Python OCR dependency from a trusted source.

This appears safe for its stated offline OCR purpose. Before installing, make sure any Python dependency is installed from a trusted source, run it only on images you intend to OCR, and follow the skill's own guidance to review raw text before using structured results.

Static analysis

No static analysis findings were reported for this release.

VirusTotal

VirusTotal findings are pending for this skill version.

View on VirusTotal

Risk analysis

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

The agent can extract text from local images you provide, including receipts, statements, or screenshots.

Why it was flagged

The skill instructs the agent to run a local OCR command against a supplied file path. This is central to the skill's purpose, but the image may contain sensitive personal or financial text, so invocation should remain user-directed.

Skill content
python3 scripts/general_ocr.py raw /path/to/image.jpg
Recommendation

Use it only on files you intentionally select, and review the raw OCR output before using it in summaries or records.

What this means

A user may need to install or rely on a local Python OCR dependency that is not pinned or described in the skill package.

Why it was flagged

The script requires a third-party OCR package, while the provided install information has no install spec or pinned dependency details. This is expected for OCR but should be installed from a trusted source.

Skill content
from rapidocr_onnxruntime import RapidOCR
Recommendation

Install RapidOCR/rapidocr_onnxruntime only from trusted package sources, preferably with a pinned version in a controlled Python environment.