adaptyv

adaptyv is a skill for Claude Code, Codex from nevergoodstudy-hub/wechat-article-summarizer. It costs 95 tokens per session (806 once invoked), scanned A, a copy of adaptyv, MIT.

A cloud laboratory service for experimentally testing and validating protein sequences. It accepts sequences through an API or web interface and returns experimental results.

In plain words
What is it for?
Submitting protein sequences for experimental testing and receiving results for evaluating or improving protein designs.
Why use it?
It lets protein designers request laboratory measurements without carrying out every test themselves. The available tests include binding, expression, thermostability, enzyme activity, and sequence optimization.

Skill for Claude CodeCodex

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

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.

agentmods
npx agentmods add skills/nevergoodstudy-hub/wechat-article-summarizer/adaptyv
Any agent
npx skills add nevergoodstudy-hub/wechat-article-summarizer --skill adaptyv
Clone the repo
git clone --depth 1 https://github.com/nevergoodstudy-hub/wechat-article-summarizer

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/nevergoodstudy-hub/wechat-article-summarizer/adaptyv.svg)](https://agentmods.dev/skills/nevergoodstudy-hub/wechat-article-summarizer/adaptyv)
Your own site
<a href="https://agentmods.dev/skills/nevergoodstudy-hub/wechat-article-summarizer/adaptyv"><img src="https://agentmods.dev/badge/skills/nevergoodstudy-hub/wechat-article-summarizer/adaptyv.svg" alt="Measured on agentmods" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 806 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin 91% copy Near-identical to another mod 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 $0.00095 $0.00806
Opus 5 $0.00048 $0.00403
Sonnet 5 $0.00019 $0.00161
Haiku 4.5 $0.00010 $0.00081

Measured 5d ago against content hash ff6de0cd4d1c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 5d 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.

response = requests.post(
Origin

This is a copy

91% identical to adaptyv — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.warp/skills/adaptyv/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Adaptyv

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.

Quick Start

Authentication Setup

Adaptyv requires API authentication. Set up your credentials:

  1. Contact [email protected] to request API access (platform is in alpha/beta)
  2. Receive your API access token
  3. Set environment variable:
export ADAPTYV_API_KEY="your_api_key_here"

Or create a .env file:

ADAPTYV_API_KEY=your_api_key_here

Installation

Install the required package using uv:

uv pip install requests python-dotenv

Basic Usage

Submit 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"]

Available Experiment Types

Adaptyv supports multiple assay types:

  • Binding assays - Test protein-target interactions using biolayer interferometry
  • Expression testing - Measure protein expression levels
  • Thermostability - Characterize protein thermal stability
  • Enzyme activity - Assess enzymatic function

See reference/experiments.md for detailed information on each experiment type and workflows.

Protein Sequence Optimization

Before submitting sequences, optimize them for better expression and stability:

Common issues to address:

  • Unpaired cysteines that create unwanted disulfides
  • Excessive hydrophobic regions causing aggregation
  • Poor solubility predictions

Read the full file on GitHub · 113 lines

Files

What ships with it

4 files 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. 5d ago First seen · 113 lines · 95 tokens per session scan A ff6de0cd4d1c

Subscribe to this mod's changes

adaptyv is a skill published in the GitHub repository nevergoodstudy-hub/wechat-article-summarizer (5 stars, last pushed 2mo ago), licensed MIT. It adds 95 tokens to every session and 806 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 91% identical to adaptyv, differing in 3 lines, and is treated as a copy.

Related

Other skills, from other repositories

results-report

This skill should be used when the user asks to "write an experiment report", "summarize experimental results", "do experiment retrospection", "write a results report", "写实验总结报告", "写实验复盘", or mentions turning completed experiment artifacts into a structured, decision-oriented research report. It assumes strict…

Galaxy-Dawn/claude-scholar · 78 tokens

networkx

Build, analyze, and visualize networks and graphs using NetworkX (Python). Use this skill whenever the user wants to: create graphs or networks, analyze graph properties, compute centrality measures, find shortest paths, detect communities, run graph algorithms, convert graphs to/from matrices or dataframes, visualize…

SenolIsci/mykg · 163 tokens

papers-audit-metadata-consistency

Runs a unified metadata consistency audit across obsidian-vault/analysis logs and analysis notes, checking title/venue/year consistency, link/pdfref completeness, duplicates, and structure anomalies; writes qualityreport.md under obsidian-vault/batches/reports.

RipeMangoBox/BITE · 60 tokens

healthmd-cli

Install and operate the standalone Health.md CLI and portable healthmd-mcp server on macOS, Linux, or Windows. Use when a user wants to pair an iPhone, configure Codex/Claude MCP, check direct readiness, query or chart typed health data, export Apple Health data, extract canonical JSON, manage durable jobs, automate…

CodyBontecou/health-md · 91 tokens

healthmd-cli

Install and operate the standalone Health.md CLI and portable healthmd-mcp server on macOS, Linux, or Windows. Use when a user wants to pair an iPhone, configure Codex/Claude MCP, check direct readiness, query or chart typed health data, export Apple Health data, extract canonical JSON, manage durable jobs, automate…

CodyBontecou/health-md · 91 tokens

healthmd-cli

Safely install and use the Health.md CLI and MCP server to query user-authorized health data, chart typed metrics, inspect sleep and workouts, export scoped Apple Health or Health Connect data, and recover durable jobs on macOS, Linux, or Windows. Use for consumer workflows, not Health.md development.

CodyBontecou/health-md · 65 tokens