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LabArchives Integration

A skill for safely integrating with the LabArchives ELN and Inventory v1 APIs, covering HMAC signing, regional endpoints and security guardrails.

Web & APIAdvanced★ 33,030⑂ 3,248AI score 8/10Last updated: Aug 9, 2026

What it does

  • Clearly separates the legacy ELN API from Inventory API v1, so you pick the right paths, response formats and auth mechanism for each.
  • Walks through HMAC-SHA-512 signature construction (akid + method name + expires, Base64, URI-encode) and the X-LabArchives-* header set for Inventory calls.
  • Enforces the regional API host allowlist (US/RoW, AU/NZ, UK, Europe, Canada) and stops you from deriving an API URL from a browser login host.
  • Ships network-free helper scripts that emit redacted dry-run request plans instead of live calls or reusable signatures.
  • Inspects LA containers (ZIP with lamanifest.xml) safely, without extraction.
  • Codifies operational rules: HTTPS only, keep certificate verification on, never log query strings or auth headers, no automatic retries on 4xx.

Who it's for

  • Research data engineers and lab IT staff at institutions using LabArchives ELN.
  • Developers automating notebook entry, attachment or inventory data pulls.
  • Anyone whose API integration code must survive an institutional security review.

Examples

  1. Run uv run scripts/setup_config.py check --require-user-id to validate environment variables and endpoint shape before writing any code.
  2. Run uv run scripts/entry_operations.py eln-plan --api-class entries --api-method entry_info to review a redacted dry-run plan before issuing a real request.
  3. Run uv run scripts/notebook_operations.py inspect example_lacontainer.zip --output container-report.json to verify a downloaded LA container's manifest.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/HEAD/skills/labarchive-integration/SKILL.md

What I want: (describe your task here)

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↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the skills/labarchive-integration folder from the GitHub repo K-Dense-AI/scientific-agent-skills into my ~/.claude/skills/labarchive-integration/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/K-Dense-AI/scientific-agent-skills.git /tmp/scientific-agent-skills && mkdir -p ~/.claude/skills && cp -r /tmp/scientific-agent-skills/skills/labarchive-integration ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal and confirm Python 3.11+ and uv are installed (python3 --version, uv --version).
  2. Clone the repository: git clone https://github.com/K-Dense-AI/scientific-agent-skills.git
  3. Copy the skill into your Claude skills folder: mkdir -p ~/.claude/skills && cp -r scientific-agent-skills/skills/labarchive-integration ~/.claude/skills/
  4. Request an Access Key ID and Access Password from your institution's LabArchives contact (Enterprise licensing required).
  5. Export LABARCHIVES_ELN_API_URL, LABARCHIVES_ACCESS_KEY_ID, LABARCHIVES_ACCESS_PASSWORD (plus LABARCHIVES_USER_ID and LABARCHIVES_INVENTORY_LAB_ID if needed) in your shell environment. Never commit them to code or a .env file.
  6. Restart Claude Code, then ask something like "help me call the LabArchives ELN API" to trigger the skill.
  7. Smoke-test the install by running uv run scripts/setup_config.py regions from the skill directory.
View source on GitHub ↗License: MIT