Versioned security assessment

Report ID: SA-022DA7E4

6/30/2026, 5:32:52 AM

pyhealth security assessment v6

Skill Security Certification Report

Audit History
Audit model: codex Historical report
Skill name
pyhealth
Version
v6
Maintainer
K-Dense-AI
Source
github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/pyhealth
Coverage
7 Files scanned · 3,218 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.

Static analysis reported many high-risk patterns, but reviewed examples show Markdown code spans, fenced Python examples, clinical coding terms, and documentation links. No prompt injection, malicious instructions, credential access, destructive commands, or runtime network behavior were found in the reviewed skill files. The remaining network evidence is limited to two public documentation links in SKILL.md.

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 · 3,218 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.

Not recorded by this audit

Network access

May connect to external services.

Observed in 2 evidence locations

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.

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
references/datasets.md:35references/medical_coding.md:35-36references/models.md:18-23references/tasks.md:16-20references/training_evaluation.md:14-20SKILL.md:40-76
False positive: Markdown code spans flagged as shell execution
The external command detections are Markdown inline code and fenced Python examples, such as PyHealth imports and method names. They do not execute shell commands or request command execution.
Reviewed locations are documentation syntax and Python examples. No shell interpreter, subprocess call, or user-controlled command path is present.
Low
references/medical_coding.md:31-36references/models.md:5references/preprocessing.md:559-563references/tasks.md:103-107SKILL.md:3
False positive: Clinical terminology flagged as weak cryptography
The weak cryptography detections occur in healthcare model and medical coding documentation, including ICD, NDC, ATC, model names, and numeric clinical codes. No cryptographic API or hashing implementation was found in these contexts.
The sampled lines describe clinical codes, model counts, and preprocessing parameters. There is no evidence of MD5, SHA1, DES, or similar cryptographic use.
Low
references/preprocessing.md:427-431references/preprocessing.md:455-459references/preprocessing.md:484-488references/preprocessing.md:511-516
False positive: Python imports flagged as dynamic import expressions
The dynamic import detections are standard Python from-import statements inside fenced examples. They are not JavaScript dynamic import calls and do not load untrusted modules at runtime.
Each location is a static Python example in Markdown. The syntax is not a dynamic import expression and is not executable by the skill itself.
Low
references/medical_coding.md:263-264references/tasks.md:167-172SKILL.md:118SKILL.md:463-469
False positive: Reconnaissance detections in clinical documentation
The reconnaissance detections map to benign healthcare and model documentation, including drug safety discussion, model device settings, and attention analysis examples. No system probing or network scanning instructions were found.
The reviewed lines discuss clinical analysis or tensor indexing. There are no commands like host discovery, port scanning, or operating system enumeration.
Low
SKILL.md:382-383
Low-risk documentation links only
Two hardcoded URLs point to public PyHealth documentation and GitHub issues. They are reference links in Markdown, not hidden network calls or data exfiltration endpoints.
The links are visible user-facing resources for documentation and support. No code in the skill sends data to these URLs.

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