adaptyv

adaptyv is a skill for Claude Code, Codex from K-Dense-AI/scientific-agent-skills. It costs 86 tokens per session (3,298 once invoked), scanned A, original, MIT.

A guide for using the Adaptyv Bio Foundry, a cloud laboratory that runs protein experiments from submitted amino-acid sequences. It covers the service's API and Python software tools for sending experiments and retrieving results.

In plain words
What is it for?
Submitting protein sequences, designing binding, thermostability, expression, or fluorescence experiments, and retrieving their results through the API or Python SDK.
Why use it?
It removes the need to learn the service's request format, authentication, and experiment workflow from scattered documentation. It also highlights how to handle the access token safely.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Submitting protein sequences, designing binding, thermostability, expression, or fluorescence experiments, and retrieving their results through the API or Python SDK.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/k-dense-ai/scientific-agent-skills/adaptyv
About the project

Scientific Agent Skills is a collection of reusable procedures that give AI agents capabilities for scientific research across areas such as biology, chemistry, medicine, and drug discovery. It is used by researchers and by people building AI scientist workflows with compatible coding agents. The catalogue contains many of the project's skills and supporting instructions.

K-Dense-AI/scientific-agent-skills · 50,453 stars · on GitHub · arxiv.org

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add K-Dense-AI/scientific-agent-skills --skill adaptyv
Clone the repo
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for adaptyv

README.md
[![agentmods](https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/adaptyv/github.svg)](https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/adaptyv)
Your own site
<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/adaptyv"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/adaptyv/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for adaptyv

Your own site · 80×15
<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/adaptyv"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/adaptyv.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,298 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 2 Oct 2026
  • Snyk warn 2 Oct 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00086 $0.03298
Opus 5.5 $0.00034 $0.01319
Sonnet 5.5 $0.00017 $0.00660
Haiku 4.5 $0.00009 $0.00330

Measured 14d ago against content hash 5de115067c11, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

adaptyv scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 14d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl --fail-with-body 'https://devs.adaptyvbio.com/api/v1/targets?limit=3' \
Origin

Copies of this mod

8 near-identical copies found in the catalogue:

  • adaptyv — 100% identical, 371 lines differ
  • adaptyv — 100% identical, 371 lines differ
  • adaptyv — 95% identical, 374 lines differ
  • adaptyv — 95% identical, 374 lines differ
  • adaptyv — 95% identical, 372 lines differ
  • adaptyv — 95% identical, 374 lines differ
  • adaptyv — 89% identical, 388 lines differ
  • adaptyv — 86% identical, 357 lines differ
skills/adaptyv/SKILL.md · 276 lines

How it starts

The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Adaptyv Bio Foundry API

Use this skill to turn protein sequences into experimentally measured data through Adaptyv's cloud laboratory. Confirm the target construct, assay conditions, controls, and replicate plan before submitting a batch; turnaround depends on the experiment.

Reviewed against the deployed OpenAPI schema (info.version: 0.0.2) and official SDK 0.1.0 at commit cdf207819ed5a58e0c127453626d2bce125c8064. The schema version alone does not identify all changes. See the endpoint reference for current request/response details and discrepancies in upstream examples.

Connect

Base URL: https://devs.adaptyvbio.com/api/v1. The schema is at /openapi.json; never append that filename to normal endpoint requests.

Create a bearer token in Foundry under Organization → Settings → Tokens. Use Viewer for reads and Member for experiment writes. Read credentials from ADAPTYV_API_KEY; the documentation's FOUNDRY_API_TOKEN is an alternative variable name for the same token. If using a project .env, explicitly call python-dotenv.load_dotenv() before SDK setup; the SDK does not load that file automatically. Never print or commit tokens.

# ADAPTYV_API_KEY is already set in the environment.
curl --fail-with-body 'https://devs.adaptyvbio.com/api/v1/targets?limit=3' \
  -H "Authorization: Bearer $ADAPTYV_API_KEY"

Resource endpoints require bearer authentication. The schema and liveness endpoint GET /info/health are public. GET /whoami reports the active organization and permissions; check it when account scope is unclear.

Python SDK

Install the reviewed revision in your project environment (requires Python 3.11+):

uv pip install "git+https://github.com/adaptyvbio/adaptyv-sdk.git@cdf207819ed5a58e0c127453626d2bce125c8064"

Import from adaptyv, not adaptyv_sdk. FoundryClient requires explicit api_key and base_url; the lab convenience object reads ADAPTYV_API_KEY and ADAPTYV_API_URL. Set the latter to the base URL above to override the SDK's older hostname default.

Read the full file on GitHub · 276 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 14d ago Changed · +14 lines · -38 tokens per session 5de115067c11
  2. 15d ago Changed · +4 lines · +11 tokens per session d0e603d3309b
  3. 1mo ago Changed · +17 lines 2df5e16209d5
  4. 1mo ago First seen · 241 lines · 113 tokens per session scan A ed2e1f32802c

Subscribe to this mod's changes

adaptyv is a skill published in the GitHub repository K-Dense-AI/scientific-agent-skills (50,453 stars, last pushed today), licensed MIT. It adds 86 tokens to every session and 3,298 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.