adaptyv — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited adaptyv (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Adaptyv is a cloud laboratory platform that provides automated protein testing and validation services. Submit protein sequences via API or web interface and receive experimental results in approximately 21 days.
Adaptyv requires API authentication. Set up your credentials:
export ADAPTYV_API_KEY="your_api_key_here"Or create a .env file:
ADAPTYV_API_KEY=your_api_key_hereInstall the required package using uv:
uv pip install requests python-dotenvSubmit protein sequences for testing:
import os
import requests
from dotenv import load_dotenv
load_dotenv()
api_key = os.getenv("ADAPTYV_API_KEY")
base_url = "https://kq5jp7qj7wdqklhsxmovkzn4l40obksv.lambda-url.eu-central-1.on.aws"
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
# Submit experiment
response = requests.post(
f"{base_url}/experiments",
headers=headers,
json={
"sequences": ">protein1\nMKVLWALLGLLGAA...",
"experiment_type": "binding",
"webhook_url": "https://your-webhook.com/callback"
}
)
experiment_id = response.json()["experiment_id"]Adaptyv supports multiple assay types:
See reference/experiments.md for detailed information on each experiment type and workflows.
Before submitting sequences, optimize them for better expression and stability:
Common issues to address:
Recommended tools:
See reference/protein_optimization.md for detailed optimization workflows and tool usage.
For complete API documentation including all endpoints, request/response formats, and authentication details, see reference/api_reference.md.
For concrete code examples covering common use cases (experiment submission, status tracking, result retrieval, batch processing), see reference/examples.md.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.