Agent skill

bio-epidemiological-genomics-pathogen-typing

Perform multi-locus sequence typing (MLST), core genome MLST, and SNP-based strain typing for bacterial isolate characterization using mlst and chewBBACA. Use when identifying strain types, tracking outbreak clones, or characterizing bacterial isolates.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-epidemiological-genomics-pathogen-typing --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 6 KB
Bundled scripts: yes
Path: skills/bio-epidemiological-genomics-pathogen-typing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Version Compatibility Reference examples tested with: mlst 2.23+, numpy 1.26+, pandas 2.2+, scanpy 1.10+, scipy 1.12+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures - CLI: `<tool> --version` then `<tool> --help` to confirm flags If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Pathogen Typing **"Type my bacterial isolates by MLST"** → Assign multi-locus sequence types to bacterial genomes for isolate characterization, outbreak clone identification, and strain tracking. - CLI: `mlst assembly.fasta` for 7-gene MLST typing - CLI: `chewBBACA.py AlleleCall` for core genome MLST (cgMLST) ## MLST with mlst Tool ```bash # Install mlst conda install -c bioconda mlst # Basic MLST typing mlst genome.fasta # Output: genome.fasta ecoli ST131 adk(53) fumC(40) gyrB(47) ... # Batch typing mlst *.fasta > typing_results.tsv # Specify scheme mlst --scheme senterica genome.fasta # List available schemes mlst --list # Include allele sequences in output mlst --csv genome.fasta >

What's inside
Steps it walks through
  1. Version Compatibility
  2. MLST with mlst Tool
  3. Parse MLST Results
  4. Core Genome MLST (cgMLST)
  5. cgMLST Distance Analysis
  6. SNP-Based Typing
  7. Enterobase Integration
  8. Related Skills
Ships with 2 files
  • examples/mlst_typing.py
  • usage-guide.md
Commands it runs
Install mlst
conda install -c bioconda mlst
Basic MLST typing
mlst genome.fasta
Batch typing
mlst *.fasta > typing_results.tsv
Specify scheme
mlst --scheme senterica genome.fasta
List available schemes
mlst --list
More from OpenClaw-Medical-Skills
All skills →
About this skill
What does the bio-epidemiological-genomics-pathogen-typing skill do?

Perform multi-locus sequence typing (MLST), core genome MLST, and SNP-based strain typing for bacterial isolate characterization using mlst and chewBBACA. Use when identifying strain types, tracking outbreak clones, or characterizing bacterial isolates.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-epidemiological-genomics-pathogen-typing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going