Versioned security assessment

Report ID: SA-1FFA7643

7/9/2026, 4:11:00 AM

adaptyv security assessment v8

Skill Security Certification Report

Audit History

Audit model: claude Historical report

Skill name: adaptyv
Version: v8
Maintainer: K-Dense-AI
Source: github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/adaptyv
Coverage: 5 Files scanned · 2,336 Lines analyzed
Policy version: Unavailable

Highest confirmed finding severity

Medium

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.

Most high-severity static matches are false positives caused by placeholder API keys, .env guidance, Markdown fences, or scientific sequence terminology. The real risks are intended outbound API calls to Adaptyv and NetSolP, local example file writes, and disclosure of proprietary protein sequences to a third-party lab service.

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

5 Files scanned · 2,336 Lines analyzed

21 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.

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.

Observed in 27 evidence locations

Filesystem access

May read or write local files.

Observed in 4 evidence locations

Env variables

May read values from the process environment.

Observed in 16 evidence locations

External commands

May invoke commands or programs outside the Skill.

Observed in 12 evidence locations

Capability review items (20)

Medium

reference/examples.md:350

Python file write/append

with open(output_file, 'w') as f:

The example writes experiment result data to local files using API-derived identifiers or caller-provided output paths. This is normal example behavior, but it can overwrite local files if copied without path controls.

Medium

reference/examples.md:589

Python file write/append

with open(f"{experiment_id}_info.json", 'w') as f:

Medium

reference/examples.md:347

Python os file operations

os.makedirs(output_dir, exist_ok=True)

Low

reference/api_reference.md:6

Hardcoded URL

https://kq5jp7qj7wdqklhsxmovkzn4l40obksv.lambda-url.eu-central-1.on.aws

The skill documents real outbound requests to the Adaptyv cloud lab API. This is intended behavior, but users may submit proprietary protein sequences to a third-party service.

Low

reference/examples.md:28

Python HTTP libraries

response = requests.get(f"{BASE_URL}/organization/credits", headers=HEADERS)

The skill documents real outbound requests to the Adaptyv cloud lab API. This is intended behavior, but users may submit proprietary protein sequences to a third-party service.

Low

reference/examples.md:79

Python HTTP libraries

response = requests.post(

The skill documents real outbound requests to the Adaptyv cloud lab API. This is intended behavior, but users may submit proprietary protein sequences to a third-party service.

Low

reference/examples.md:129

Python HTTP libraries

response = requests.post(

The skill documents real outbound requests to the Adaptyv cloud lab API. This is intended behavior, but users may submit proprietary protein sequences to a third-party service.

Low

reference/examples.md:185

Python HTTP libraries

response = requests.post(

The skill documents real outbound requests to the Adaptyv cloud lab API. This is intended behavior, but users may submit proprietary protein sequences to a third-party service.

Low

reference/examples.md:221

Python HTTP libraries

response = requests.get(

The skill documents real outbound requests to the Adaptyv cloud lab API. This is intended behavior, but users may submit proprietary protein sequences to a third-party service.

Low

reference/examples.md:263

Python HTTP libraries

response = requests.get(

The skill documents real outbound requests to the Adaptyv cloud lab API. This is intended behavior, but users may submit proprietary protein sequences to a third-party service.

Low

reference/examples.md:338

Python HTTP libraries

response = requests.get(

The skill documents real outbound requests to the Adaptyv cloud lab API. This is intended behavior, but users may submit proprietary protein sequences to a third-party service.

Low

reference/examples.md:479

Python HTTP libraries

response = requests.get(

The skill documents real outbound requests to the Adaptyv cloud lab API. This is intended behavior, but users may submit proprietary protein sequences to a third-party service.

Low

reference/examples.md:528

Python HTTP libraries

response = requests.post(

The skill documents real outbound requests to the Adaptyv cloud lab API. This is intended behavior, but users may submit proprietary protein sequences to a third-party service.

Low

reference/examples.md:17

Hardcoded URL

BASE_URL = "https://kq5jp7qj7wdqklhsxmovkzn4l40obksv.lambda-url.eu-central-1.on.aws"

The skill documents real outbound requests to the Adaptyv cloud lab API. This is intended behavior, but users may submit proprietary protein sequences to a third-party service.

Low

reference/protein_optimization.md:84

Python HTTP libraries

response = requests.post(url, data=data)

The skill documents real outbound requests to the Adaptyv cloud lab API. This is intended behavior, but users may submit proprietary protein sequences to a third-party service.

Low

reference/protein_optimization.md:599

Python HTTP libraries

response = requests.post(

The skill documents real outbound requests to the Adaptyv cloud lab API. This is intended behavior, but users may submit proprietary protein sequences to a third-party service.

Low

reference/protein_optimization.md:77

Hardcoded URL

url = "https://services.healthtech.dtu.dk/services/NetSolP-1.0/api/predict"

The example sends protein sequence data to an external DTU NetSolP web service. This is intended scientific functionality, but it is still a real outbound data-sharing action.

Low

reference/protein_optimization.md:600

Hardcoded URL

"https://kq5jp7qj7wdqklhsxmovkzn4l40obksv.lambda-url.eu-central-1.on.aws/experiments",

The skill documents real outbound requests to the Adaptyv cloud lab API. This is intended behavior, but users may submit proprietary protein sequences to a third-party service.

Low

SKILL.md:61

Python HTTP libraries

response = requests.post(

The skill documents real outbound requests to the Adaptyv cloud lab API. This is intended behavior, but users may submit proprietary protein sequences to a third-party service.

Low

SKILL.md:53

Hardcoded URL

base_url = "https://kq5jp7qj7wdqklhsxmovkzn4l40obksv.lambda-url.eu-central-1.on.aws"

The skill documents real outbound requests to the Adaptyv cloud lab API. This is intended behavior, but users may submit proprietary protein sequences to a third-party service.

Risk findings

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

Confirmed security concerns (1)

RISK-001 Medium

SKILL.md:11 SKILL.md:61-67 reference/api_reference.md:31-43

Third-party submission of proprietary protein sequences

The skill is designed to submit protein sequences and experiment metadata to the Adaptyv cloud lab API. This can expose proprietary biological designs or research plans if users do not have permission to share them with that service.

The documentation directly describes submitting protein sequences through the Adaptyv API and shows request payloads containing sequences and webhooks. The risk is contextual data disclosure, not hidden malicious behavior.

Remediation

Suggested fixes recorded by this audit. Applying them is the maintainer’s responsibility.

FIX-001
Medium
Users may submit confidential protein sequences to third-party services.

Add a clear consent warning before examples that send sequences to Adaptyv or NetSolP, and advise users to confirm data-sharing permissions.
FIX-002
Medium
Example file writes use caller-controlled paths or API-derived names.

Normalize output paths in examples, write under an explicit results directory, and document overwrite behavior.
FIX-003
Low
API authentication examples rely on local environment files.

Keep placeholder-only examples and add a reminder that .env files must remain outside version control.

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: claude

Analysis state: Complete

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

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