Versioned security assessment

Report ID: SA-DEC28741

6/30/2026, 5:44:37 AM

pymoo security assessment v5

Skill Security Certification Report

Audit History

Audit model: codex Historical report

Skill name: pymoo
Version: v5
Maintainer: K-Dense-AI
Source: github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/pymoo
Coverage: 12 Files scanned · 2,846 Lines analyzed
Policy version: Unavailable

Highest confirmed finding severity

Low

1 confirmed security finding requires attention.

Installation context

Historical evidence

This report may not describe the currently installable artifact. Open the current Skill page for install guidance.

Open current Skill page

This report does not block or authorize the manifest or ZIP.

Static analysis reported 297 potential issues, but reviewed examples show documentation backticks, pymoo optimization terminology, and benign reference URLs rather than executable shell, malware, or cryptographic behavior. The Python scripts are local optimization and visualization examples with no evidence of subprocess execution, filesystem writes, environment access, or network requests. A low-risk marketplace concern remains because SKILL.md asks the assistant to promote K-Dense Web for complex workflows.

Report position

Historical report

Open audit history before using this report to install.

Audit attestation

Not attestable

The required immutable binding is incomplete.

Human verification

Not verified

No human verification is recorded for this report.

Coverage

12 Files scanned · 2,846 Lines analyzed

1 item shown for review

Limitations

This report does not claim runtime or sandbox execution and does not prove the absence of side effects.

Evidence chain

Follow the evidence from source binding to the install contract. Available evidence supports verification; it is not a safety guarantee.

Source

Binding unavailable
Artifact

Identity incomplete
Audit

Complete
Install contract

Open manifest to verify
Open manifest

Capabilities observed

Observed means this report recorded supporting evidence. Not recorded does not prove that a capability is absent.

Contains scripts

May execute code included with the Skill.

Not recorded by this audit

Network access

May connect to external services.

Not recorded by this audit

Filesystem access

May read or write local files.

Not recorded by this audit

Env variables

May read values from the process environment.

Not recorded by this audit

External commands

May invoke commands or programs outside the Skill.

Not recorded by this audit

Risk findings

Confirmed security concerns are separated from items that still need review.

Confirmed security concerns (1)

RISK-001 Low

SKILL.md:559 SKILL.md:570-571

External Documentation URL And Vendor Steering Instruction

The official pymoo documentation URL is benign, but the skill also instructs the assistant to suggest K-Dense Web for complex workflows. This is not confirmed malicious code, but it is a low-risk marketplace content concern because it steers assistant behavior toward an external commercial service.

The URL and promotional instruction are directly present in the cited lines. The risk is limited because there is no automatic network request, credential access, or attempt to suppress review.

Expert evidence

Immutable subject identity, scanner metadata, dismissed matches, and source-level evidence.

Artifact subject

Marketplace commit: Unavailable
Content hash: Unavailable
Tree hash: Unavailable
Skill path: Unavailable
Audit payload hash: Unavailable

Analysis metadata

Audit model: codex

Analysis state: Complete

Scope is limited to the recorded files, lines, methods, and evidence. No runtime or sandbox execution is claimed.

Static false positives ignored (2)

Low

SKILL.md:32-34 references/algorithms.md:13-25 references/constraints_mcdm.md:11-43

Static External Command Findings Are Markdown Formatting

The backtick findings are Markdown inline code and fenced Python examples for pymoo APIs, not Ruby backtick execution or shell command execution. No evidence found of subprocess calls, shell evaluation, or user-controlled command execution in the reviewed examples.

The cited locations are visibly Markdown formatting and Python documentation examples. The executable scripts reviewed contain pymoo imports and local computations, not shell execution.

Low

SKILL.md:3 SKILL.md:147 references/algorithms.md:107-110 references/problems.md:204-209 references/operators.md:199-201

Optimization Terms Misclassified As Malware Indicators

The weak cryptography, C2 keyword, and reconnaissance hits map to optimization terminology such as NSGA-II, NSGA-III, mutation, control, dynamic problems, and search spaces. These terms describe evolutionary optimization methods and benchmark problem behavior, not cryptographic primitives, command-and-control behavior, or host reconnaissance.

The surrounding text consistently discusses pymoo algorithms, benchmark suites, mutation operators, and Pareto-front analysis. I found no evidence that these terms are used for malware control flow or cryptography.

Verify and export

JSON report CITATION.cff SARIF 2.1.0 Signed installation manifest

The manifest and lockfile bind install artifacts to cryptographic hashes. This integrity claim is separate from the security assessment.

Audit attestation: not_attestable