Biopython
CheckedThis skill utilizes Biopython for bioinformatics tasks like sequence analysis and manipulation, streamlining biological data processing.
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 drshailesh88/integrated_content_os --skill biopython -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
drshailesh88
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 drshailesh88/integrated_content_os at 9e61937ad2.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 9e61937ad2
- Scanned
- 8 files, 3,364 lines
About this skill
What it does
This skill provides access to Biopython, a powerful suite of tools for computational biology. It allows AI agents to analyze biological sequences (DNA, RNA, protein), perform sequence alignments, and work with phylogenetic trees. The skill enables tasks like identifying genes, predicting protein structures, and analyzing evolutionary relationships.
When to use it
- Sequence Analysis: When you need to identify specific patterns or motifs within a DNA or protein sequence.
- Phylogenetic Tree Construction: To build evolutionary trees based on sequence data for comparative biology studies.
- Genome Annotation: For assisting in the process of identifying and labeling genes and other functional elements within a genome.
- Protein Structure Prediction: To leverage Biopython's tools to predict or analyze protein structures.
Key capabilities
- Sequence alignment algorithms (e.g., BLAST)
- Phylogenetic tree construction
- Biological sequence parsing and manipulation
- Genome annotation support
Example prompts
- "Analyze this DNA sequence: [sequence] and identify any potential gene regions."
- "Build a phylogenetic tree based on these protein sequences: [sequences]."
- "Parse this GenBank file: [file path] and extract the gene names."
Tips & gotchas
- Requires familiarity with biological data formats (FASTA, GenBank).
- Computational intensity: Sequence analysis can be resource-intensive; consider agent hardware limitations.