Biologist Analyst
CheckedAnalyzes biological data to identify patterns & insights, aiding research and understanding complex life science information effectively.
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 rysweet/amplihack --skill biologist-analyst -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
rysweet
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
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 undeclared network calls: passed
Makes no network calls.
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.
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 rysweet/amplihack at 84424457d5.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 84424457d5
- Scanned
- 8 files, 3,078 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
The Biologist Analyst skill enables AI agents to analyze biological data and life science questions through a biological lens. It applies established frameworks like evolutionary theory and molecular biology across multiple levels of analysis, from molecules to ecosystems. The goal is to understand how living systems function, how organisms adapt, and how they interact with each other.
When to use it
- Evolutionary Analysis: To understand adaptations, phylogeny, speciation, or natural selection processes.
- Molecular Biology Research: For analyzing genetic mechanisms, gene expression, protein function, or biotechnology applications.
- Ecology Assessments: To evaluate species interactions, ecosystems, conservation efforts, and biodiversity.
- Health & Disease Investigations: To understand disease mechanisms, immune responses, pathogens, or potential treatments.
Key capabilities
- Applies evolutionary theory to analyze biological phenomena.
- Analyzes data at multiple levels: molecular, cellular, organismal, population, and ecosystem.
- Utilizes established frameworks in molecular biology, ecology, and systems biology.
- Considers principles of structure/function relationships, hierarchical organization, homeostasis, information flow, energy & matter, interdependence, unity, and diversity within biological systems.
Example prompts
- "Analyze the evolutionary adaptations of polar bears to their Arctic environment."
- "Explain the molecular mechanisms behind CRISPR gene editing technology."
- "Assess the impact of deforestation on local biodiversity in the Amazon rainforest."
Tips & gotchas
- The skill relies on established biological frameworks and evidence-based methods. It is not a substitute for expert biological knowledge.
- Understanding of basic biology concepts (e.g., DNA, ecosystems) will improve results.