Skills adaptyv

📦

adaptyv

Name: adaptyv
Author: K-Dense-AI

Content revision r1 Medium Risk 🌐 Network access📁 Filesystem access🔑 Env variables⚙️ External commands

Submit Protein Experiments to Adaptyv

Protein teams need a reliable path from designed sequences to experimental validation. This skill guides Claude, Codex, and Claude Code through Adaptyv API setup, experiment submission, status tracking, and result handling.

Supports: Claude Codex Code(CC)

⚠️ 50 Poor

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

Review the Skillstore skill "adaptyv" from https://skillstore.io/skills/k-dense-ai-adaptyv.md and its manifest at https://skillstore.io/api/skills/k-dense-ai-adaptyv/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/k-dense-ai-adaptyv.md Signed manifest GET /api/skills/k-dense-ai-adaptyv/manifest Signed lockfile GET /api/skills/k-dense-ai-adaptyv/lockfile

Test it

Using "adaptyv". I want to test 20 antibody-like variants for binding.

Expected outcome:

The skill would outline a batch submission plan, required target information, metadata fields, and consent checks before sending sequences.

Using "adaptyv". My experiment is complete. What should I retrieve?

Expected outcome:

Experiment status summary
Key measurement fields such as affinity or expression level
Quality metrics and links to downloadable reports

Using "adaptyv". Which variants should I submit first?

Expected outcome:

The skill would recommend pre-screening for solubility, sequence validity, and functional residue preservation before selecting candidates.

Security Audit

Medium Risk

v9 • 7/9/2026 Open versioned report

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.

Files scanned

2,336

Lines analyzed

Review items

False positives ignored

Confirmed security concerns (1)

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.

Capability review items (20)

These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.

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 Factors

🌐 Network access (28)

📁 Filesystem access (4)

reference/api_reference.md:40 reference/examples.md:350 reference/examples.md:589 reference/examples.md:347

🔑 Env variables (24)

⚙️ External commands (12)

SKILL.md:23-25 SKILL.md:25-27 SKILL.md:27-29 SKILL.md:29-31 SKILL.md:31-37 SKILL.md:37-39 SKILL.md:39-45 SKILL.md:45-72 SKILL.md:72-81 SKILL.md:81-98 SKILL.md:98-101 SKILL.md:101-104

Audited by: claude View Audit History →

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https://skillstore.io/skills/k-dense-ai-adaptyv/audits/9?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Academic citations (APA · BibTeX · CFF)

APA citation

K-Dense-AI. (2026). adaptyv security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/k-dense-ai-adaptyv/audits/9

BibTeX citation

@techreport{k-dense-ai-k-dense-ai-adaptyv-2026,
  author = {K-Dense-AI},
  title = {adaptyv security audit report (audit version 9)},
  institution = {Skillstore},
  year = {2026},
  number = {9},
  url = {https://skillstore.io/skills/k-dense-ai-adaptyv/audits/9},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "adaptyv security audit report (audit version 9)"
version: "unspecified"
type: report
authors:
  - name: "K-Dense-AI"
date-released: "2026-07-09"
url: "https://skillstore.io/skills/k-dense-ai-adaptyv/audits/9"
identifiers:
  - type: other
    value: "skillstore:k-dense-ai-adaptyv:audit:9"
    description: "Skillstore immutable audit report identifier"

Compare variants

2 installable variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Highest Skillstore Score

Author / source Skillstore Score Evidence Confidence Skillstore usage Updated

K-Dense-AI Recommended Current

k-dense-ai-adaptyv

Skillstore Score 50

Evidence Confidence High

Skillstore usage 6

Updated

2026-08-21

davila7

davila7-adaptyv

Skillstore Score 38

Evidence Confidence Medium

Skillstore usage 7

Updated

2026-08-21

Skillstore Score

Why this score Evidence Confidence: High

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

Validate designed binders

Prepare sequence payloads, select a binding assay, and submit variants for experimental testing through Adaptyv.

Automate experiment tracking

Build scripts that submit experiments, check status, handle failures, and retrieve completed result summaries.

Prioritize expression candidates

Use computational solubility and sequence checks before sending the strongest candidates for wet-lab validation.

Try These Prompts

Set up authentication

Help me set up Adaptyv API authentication safely. I have an API token and want to use environment variables.

Submit a single experiment

Create a safe plan to submit one protein sequence to Adaptyv for expression testing. Include required fields and data-sharing checks.

Track experiment results

Design a workflow that checks an Adaptyv experiment status, handles common API errors, and saves the final result summary locally.

Optimize and validate a library

Help me prioritize a protein variant library using solubility and naturalness checks, then prepare the top candidates for Adaptyv validation.

Best Practices

Confirm that sequence data can be shared before submitting it to any external service.
Store API keys in environment variables and keep local credential files out of version control.
Use batch submissions, webhooks, and local validation to reduce failed or duplicate experiments.

Avoid

Do not paste real API keys into prompts, code snippets, or shared documents.
Do not submit proprietary sequences without approval from the data owner.
Do not rely on computational scores alone when experimental validation is required.

Frequently Asked Questions

What does this skill help me do?

It helps plan and automate Adaptyv protein testing workflows, including submission, tracking, and result retrieval.

Do I need an Adaptyv account?

Yes. The API examples require an Adaptyv API token and platform access.

Can it run experiments by itself?

No. It provides guidance and API examples. Actual experiments require valid credentials, available credits, and user approval.

Is it safe for confidential protein sequences?

Use caution. The workflow sends sequence data to external services, so confirm permission before submission.

Which experiment types are covered?

The documentation covers binding assays, expression testing, thermostability measurements, and enzyme activity assays.

Can it help optimize sequences before testing?

Yes. It describes screening and optimization workflows using solubility, structure, and sequence likelihood tools.

Developer Details

Author

K-Dense-AI

License

Unknown

Skillstore revision

Version notice

The author did not declare a version.

Repository

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/adaptyv

Ref

1ffa7643651792ccb4bd3b15d924d2c97edff755

Maintenance freshness

7/22/2026

Usage

4 downloads · 182 views

File structure

📁 reference/

📄 api_reference.md

📄 examples.md

📄 experiments.md

📄 protein_optimization.md

📄 SKILL.md

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adaptyv

Install with my Agent

Agent-readable resources

Test it

Security Audit

Confirmed security concerns (1)

Risk Factors

Copy report link

Markdown badge

HTML badge

Embed card

APA citation

BibTeX citation

CITATION.cff

Compare variants

Skillstore Score

What You Can Build

Validate designed binders

Automate experiment tracking

Prioritize expression candidates

Try These Prompts

Best Practices

Avoid

Frequently Asked Questions

Developer Details

More from K-Dense-AI

venue-templates

iso-13485-certification

pytdc

diffdock

statistical-analysis

scanpy

Related Skills

bioservices

drugbank-database

kegg-database

string-database

reactome-database

gene-database