Instrument Data To Allotrope
OfficialTransforms human instrument performance data into diverse, usable allotropes for creative applications and analysis.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add anthropics/life-sciences --skill instrument-data-to-allotrope -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
anthropics
Matched to the vendor's own GitHub organisation.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: purl.allotrope.org.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
purl.allotrope.orgundeclaredgitlab.comsource hostWhat it found (3 of 4)
- instrument-data-to-allotrope/references/asm_schema_overview.md:17contacts purl.allotrope.org
"vocabulary": ["http://purl.allotrope.org/voc/afo/REC/2023/09/"], - instrument-data-to-allotrope/references/asm_schema_overview.md:18contacts purl.allotrope.org
"contexts": ["http://purl.allotrope.org/json-ld/afo-context-REC-2023-09.jsonld"] - instrument-data-to-allotrope/scripts/convert_to_asm.py:322contacts purl.allotrope.org
"vocabulary": ["http://purl.allotrope.org/voc/afo/REC/2023/09/"],
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned anthropics/life-sciences at e96556b637.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- e96556b637
- Scanned
- 11 files, 3,713 lines
About this skill
What it does
This skill transforms instrument data, specifically from mass spectrometry experiments, into Allotrope NeoGraph format. This allows for the creation of graph databases representing complex biological relationships derived from experimental data. The output is a structured representation suitable for analysis and integration with other datasets. It's particularly useful for researchers working with proteomics or metabolomics data.
When to use it
- Converting raw mass spectrometry data into a format suitable for graph database storage.
- Generating visual representations of biological pathways from experimental results.
- Integrating instrument data with existing knowledge graphs and databases.
- Facilitating collaborative research by providing a standardized data representation.
Key capabilities
- Mass Spectrometry Data Input
- Allotrope NeoGraph Output
- Data Transformation
- Graph Database Creation
Example prompts
- "Convert this mass spectrometry file to an Allotrope NeoGraph."
- “Generate a graph database from this proteomics data, showing protein interactions.”
- "Transform the attached instrument data into a format compatible with Allotrope."
Tips & gotchas
The skill requires valid mass spectrometry data as input. Familiarity with Allotrope NeoGraph and its structure is helpful for interpreting and utilizing the output effectively.