Versioned security assessment

Report ID: SA-B378ED07

6/30/2026, 5:52:47 AM

statsmodels security assessment v5

Skill Security Certification Report

Audit History
Audit model: codex Historical report
Skill name
statsmodels
Version
v5
Maintainer
K-Dense-AI
Source
github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/statsmodels
Coverage
7 Files scanned · 4,105 Lines analyzed
Policy version
Unavailable

Confirmed finding summary

No confirmed security findings

The completed audit recorded no confirmed security findings. This is not proof that the Skill has no side effects.

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.

AI review found the static analyzer alerts are false positives from Markdown documentation and statistical Python examples. No executable skill code, prompt injection, credential access, unauthorized network request, or malicious intent was found in the reviewed files.

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 · 4,105 Lines analyzed

0 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 4 evidence locations

Network access

May connect to external services.

Observed in 1 evidence location

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.

Observed in 4 evidence locations

Risk findings

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

No confirmed security findings were recorded for this completed audit.

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 (5)
Low
SKILL.md:33references/discrete_choice.md:93-94references/glm.md:38references/stats_diagnostics.md:461-462
Static False Positive: Markdown Code Blocks
The many Ruby/shell backtick findings are Markdown fences and inline code examples in documentation. I found no evidence that these strings execute shell commands.
The flagged locations are Markdown code fences or statistical Python examples. They are not executable skill hooks, and no command runner is defined in the skill files.
Low
references/linear_models.md:407-413references/stats_diagnostics.md:573-580references/time_series.md:112-118references/stats_diagnostics.md:610-627
Static False Positive: Statistical Terms Matched Security Keywords
High-severity C2 and weak cryptography alerts map to statistical labels such as HC2, HC3, ACF, PACF, descriptive statistics, and Markdown prose. I found no cryptographic implementation or command-and-control behavior.
The suspicious tokens are standard statsmodels and statistics terminology. The surrounding context is model diagnostics, plots, and descriptive statistics, not encryption or network control code.
Low
references/discrete_choice.md:94-95references/discrete_choice.md:328-329references/time_series.md:114-118references/time_series.md:189
Static False Positive: Python Imports and Plot Labels
Dynamic import and function-constructor alerts correspond to normal Python import statements and matplotlib title-setting examples. I found no JavaScript import expression, eval path, or dynamic function construction.
The lines are Python documentation examples, not JavaScript runtime constructs. There is no user-controlled code evaluation or plugin script entry point.
Low
SKILL.md:607-611
Static False Positive: Official Documentation URLs
Hardcoded URL findings are links to official statsmodels documentation and examples. I found no evidence of outbound requests, tracking pixels, webhooks, or data exfiltration.
The URLs appear only as reference links for users. The skill contains Markdown guidance and no code path that makes network calls.
Low
SKILL.md:576-585references/discrete_choice.md:509-511references/glm.md:576references/time_series.md:700
Benign Documentation Search Commands
The system reconnaissance alerts are documentation examples that show users how to search local reference files with grep. They do not gather system information or transmit results.
The grep examples are local documentation search instructions. They are visible to the user and do not include host enumeration, secret access, or network transfer.

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