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labarchive-integration

labarchive-integration is a skill for Claude Code, Codex from Zaoqu-Liu/ScienceClaw. It costs 41 tokens per session (2,112 once invoked), scanned A, a copy of labarchive-integration, MIT.

An interface to LabArchives, an electronic lab notebook for recording research work and data. It provides programmatic access to notebook entries, attachments, reports, and user permissions through a REST API.

In plain words
What is it for?
Use it to create or manage entries and attachments, generate reports, back up notebooks, manage access, and connect services such as Jupyter, REDCap, or Protocols.io.
Why use it?
It reduces manual notebook administration and makes it possible to back up records or connect LabArchives with other research tools.

Skill for Claude CodeCodex

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

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 scripts/setup_config.py.

not rated 60repo 5mo ago A scan 41 tokens copy · 86% MIT

Good fit Use it to create or manage entries and attachments, generate reports, back up notebooks, manage access, and connect services such as Jupyter, REDCap, or Protocols.io.

Compare 6 skills from other repositories ↓
View source ↗ Zaoqu-Liu/ScienceClaw
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/Zaoqu-Liu/ScienceClaw
agentmods
npx agentmods add skills/zaoqu-liu/scienceclaw/labarchive-integration

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/zaoqu-liu/scienceclaw/labarchive-integration/github.svg)](https://agentmods.dev/skills/zaoqu-liu/scienceclaw/labarchive-integration)
Your own site
<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/labarchive-integration"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/labarchive-integration/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 labarchive-integration

Your own site · 80×15
<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/labarchive-integration"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/labarchive-integration.svg" alt="Reviewed on agentmods" width="80" 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. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00041 $0.02112
Opus 5 $0.00020 $0.01056
Sonnet 5 $0.00008 $0.00422
Haiku 4.5 $0.00004 $0.00211

Measured 7d ago against content hash 436572f5e4f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, 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 7d 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.

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.

skills/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

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. 7d 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 Zaoqu-Liu/ScienceClaw (60 stars, last pushed 5mo ago), licensed MIT. 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.

Backend and APIsScientific
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