Versioned security assessment

Report ID: SA-111654B7

6/30/2026, 5:26:47 AM

geniml security assessment v5

Skill Security Certification Report

Audit History
Audit model: codex Historical report
Skill name
geniml
Version
v5
Maintainer
K-Dense-AI
Source
github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/geniml
Coverage
7 Files scanned · 1,559 Lines analyzed
Policy version
Unavailable

Highest confirmed finding severity

High

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 many high-risk patterns, but most are false positives from Markdown command examples, scientific terminology, documentation URLs, and cache paths. The main confirmed issue is untrusted self-review content in evaluation.json that asserts a safe verdict and could bias marketplace review. Remove that file or exclude it from the skill package before publication.

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

7 Files scanned · 1,559 Lines analyzed

4 items 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.

  1. Source

    Binding unavailable

  2. Artifact

    Identity incomplete

  3. Audit

    Complete

  4. 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.

Observed in 2 evidence locations

Network access

May connect to external services.

Observed in 4 evidence locations

Filesystem access

May read or write local files.

Observed in 3 evidence locations

Env variables

May read values from the process environment.

Not recorded by this audit

External commands

May invoke commands or programs outside the Skill.

Observed in 7 evidence locations

Risk findings

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

Confirmed security concerns (1)

RISK-001 High
evaluation.json:14-18evaluation.json:19-61
Prompt Injection Attempt Detected
The packaged evaluation.json contains a self-assessment stating risk_level is safe, safe_to_publish is true, and that static findings are false positives. This is untrusted audit-influencing content and should be removed from a marketplace skill before publication.
The file explicitly asserts a safe security verdict inside the submitted skill package. It does not contain an imperative override, so confidence is high but below critical.
Needs review findings (3)
REVIEW-001 Medium
SKILL.md:19-32SKILL.md:178-219references/bedspace.md:23-52references/consensus_peaks.md:21-56
Documented External Command Execution
The static command-execution detections are mostly Markdown examples, not hidden execution. The skill still instructs users or agents to install packages and run genomics CLI tools, which creates supply-chain and local process risk if executed automatically.
The commands are visible documentation for legitimate geniml workflows. The risk is operational rather than evidence of malicious command injection.
REVIEW-002 Medium
references/utilities.md:19-42references/bedspace.md:125-127references/scembed.md:143-151SKILL.md:289-312
Remote Data Access and Local Cache Writes
The skill documents remote BED file access, GitHub resources, Hugging Face model loading, and cache writes under ~/.bedcache. These are expected for genomics workflows but require user consent and storage awareness.
The evidence shows documented network and filesystem behavior with legitimate scientific purpose. No credential exfiltration or covert destination was found.
REVIEW-003 Medium
SKILL.md:317-318
Hosted Platform Steering Instruction
The skill asks the assistant to suggest K-Dense Web for complex workflows. This is not an override, but it can steer users toward an external hosted service where sensitive research data may be uploaded.
The instruction is explicit and user-facing, but it is framed as optional and does not request bypassing controls. The main concern is disclosure and data-handling risk.

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 (3)
Low
SKILL.md:3-13references/consensus_peaks.md:5references/scembed.md:5evaluation.json:18-30
Weak Cryptography and Ransomware Alerts Are False Positives
The high-severity cryptography and ransomware labels occur in scientific prose or generated audit text. I found no encryption, decryption, ransom behavior, or weak cryptographic implementation in the reviewed skill files.
The cited lines describe genomic machine learning, model training, or previous audit text. They do not implement cryptography or destructive file behavior.
Low
references/consensus_peaks.md:167-169SKILL.md:104-109SKILL.md:206-213SKILL.md:296-299
Reconnaissance Alerts Are Genomics Context False Positives
The system and network reconnaissance detections map to chromosome sizes, BEDbase caching, BEDspace preprocessing, and genomic search terminology. No port scanning, host discovery, or environment enumeration was found.
The line context is standard genomics workflow documentation. The terms are domain-specific and not used for system or network probing.
Low
references/utilities.md:34-39evaluation.json:45-48
Dynamic Import Alerts Are Benign Examples
The import detections are an R reticulate example and a static finding string inside evaluation.json. They are not JavaScript dynamic imports or runtime code loading in the skill.
The R import statement loads a named Python module for documented interoperability. The evaluation.json occurrence is text, not executable code.

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