Western Blot Quantifier

Security checks across malware telemetry and agentic risk

Overview

No malicious behavior is evident, but the skill appears underimplemented or misdocumented and uses user-installed Python dependencies.

This skill does not show evidence of exfiltration, destructive actions, or hidden persistence. Treat it as a likely incomplete scientific demo: install dependencies cautiously in an isolated environment, verify the API/CLI before use, and independently check any analysis results.

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.

#
ASI04: Agentic Supply Chain Vulnerabilities
Low
What this means

Installing the skill may pull the latest compatible packages from PyPI, which can change behavior over time.

Why it was flagged

These Python dependencies are installed via the SKILL.md pip command, but requirements.txt does not pin versions; this is common for scientific tooling but reduces reproducibility and supply-chain control.

Skill content
matplotlib
numpy
opencv-python
pandas
scikit-image
scipy
Recommendation

Install in a virtual environment and consider pinning or reviewing dependency versions before use.

#
ASI09: Human-Agent Trust Exploitation
Low
What this means

Users may expect real Western blot quantification, but the packaged code may fail or only provide demo output.

Why it was flagged

The implementation only exposes a demo-oriented CLI and does not perform the documented SKILL.md workflow such as --input/--reference/--targets/--output processing or CSV export.

Skill content
parser.add_argument("--image", help="Image file path")
parser.add_argument("--lanes", type=int, default=4, help="Number of lanes")
parser.add_argument("--demo", action="store_true", help="Run demo")
...
else:
    print("Use --demo to see example output")
Recommendation

Validate the tool on known test images before relying on its results, and do not treat its advertised analysis features as implemented without verification.