labarchive-integration

labarchive-integration is a skill for Claude Code, Codex from x-cmd/skill. It costs 41 tokens per session (2,112 once invoked), scanned A, a copy of labarchive-integration, Apache-2.0.

An integration with LabArchives, an electronic lab notebook used to record research work and data. It connects the notebook to programs through its web API, including tools such as Protocols.io, Jupyter, and REDCap.

In plain words
What is it for?
Use it to create or update notebook entries, upload attachments, back up notebooks, generate reports, and connect LabArchives with other research tools.
Why use it?
It removes the need to move notebook records and files by hand between systems. It also supports programmatic backups, reports, and access management.

Skill for Claude CodeCodex

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/x-cmd/skill/labarchive-integration
Any agent
npx skills add x-cmd/skill --skill labarchive-integration
Clone the repo
git clone --depth 1 https://github.com/x-cmd/skill

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 labarchive-integration

README.md
[![agentmods](https://agentmods.dev/badge/skills/x-cmd/skill/labarchive-integration.svg)](https://agentmods.dev/skills/x-cmd/skill/labarchive-integration)
Your own site
<a href="https://agentmods.dev/skills/x-cmd/skill/labarchive-integration"><img src="https://agentmods.dev/badge/skills/x-cmd/skill/labarchive-integration.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,112 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 86% 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 $0.00041 $0.02112
Opus 5 $0.00020 $0.01056
Sonnet 5 $0.00008 $0.00422
Haiku 4.5 $0.00004 $0.00211

Measured 2d ago against content hash 436572f5e4f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

labarchive-integration scanned grade A with 0 findings 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 2d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/entry_operations.py, scripts/notebook_operations.py, scripts/setup_config.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

86% identical to labarchive-integration — 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.

data/k-dense-ai/labarchive-integration/SKILL.md · 268 lines

How it starts

The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LabArchives Integration

Overview

LabArchives is an electronic lab notebook platform for research documentation and data management. Access notebooks, manage entries and attachments, generate reports, and integrate with third-party tools programmatically via REST API.

When to Use This Skill

This skill should be used when:

  • Working with LabArchives REST API for notebook automation
  • Backing up notebooks programmatically
  • Creating or managing notebook entries and attachments
  • Generating site reports and analytics
  • Integrating LabArchives with third-party tools (Protocols.io, Jupyter, REDCap)
  • Automating data upload to electronic lab notebooks
  • Managing user access and permissions programmatically

Core Capabilities

1. Authentication and Configuration

Set up API access credentials and regional endpoints for LabArchives API integration.

Prerequisites:

  • Enterprise LabArchives license with API access enabled
  • API access key ID and password from LabArchives administrator
  • User authentication credentials (email and external applications password)

Configuration setup:

Use the scripts/setup_config.py script to create a configuration file:

python3 scripts/setup_config.py

This creates a config.yaml file with the following structure:

api_url: https://api.labarchives.com/api  # or regional endpoint
access_key_id: YOUR_ACCESS_KEY_ID
access_password: YOUR_ACCESS_PASSWORD

Regional API endpoints:

  • US/International: https://api.labarchives.com/api
  • Australia: https://auapi.labarchives.com/api
  • UK: https://ukapi.labarchives.com/api

For detailed authentication instructions and troubleshooting, refer to references/authentication_guide.md.

2. User Information Retrieval

Obtain user ID (UID) and access information required for subsequent API operations.

Workflow:

  1. Call the users/user_access_info API method with login credentials
  2. Parse the XML/JSON response to extract the user ID (UID)
  3. Use the UID to retrieve detailed user information via users/user_info_via_id

Read the full file on GitHub · 268 lines

Files

What ships with it

6 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. 2d ago First seen · 268 lines · 41 tokens per session scan A 436572f5e4f6

Subscribe to this mod's changes

labarchive-integration is a skill published in the GitHub repository x-cmd/skill (26 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 41 tokens to every session and 2,112 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to labarchive-integration, differing in 3 lines, and is treated as a copy.

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