Agent skill · Code Review & Quality

bio-fastq-quality

Work with FASTQ quality scores using Biopython. Use when analyzing read quality, filtering by quality, trimming low-quality bases, or generating quality reports.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-fastq-quality --agent claude-code

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

Facts
Files in the skill folder: 3
SKILL.md size: 9 KB
Bundled scripts: yes
Path: skills/bio-fastq-quality/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: BioPython 1.83+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # FASTQ Quality Scores **"Filter my FASTQ reads by quality score"** → Access, analyze, and filter Phred quality scores, trim low-quality bases, and generate per-position quality profiles. - Python: `SeqIO.parse()` with `letter_annotations['phred_quality']` (BioPython) Analyze and manipulate FASTQ quality scores using Biopython. ## Required Imports ```python from Bio import SeqIO from Bio.Seq import Seq ``` ## Accessing Quality Scores Quality scores are stored in `letter_annotations['phred_quality']` as a list of integers. ```python for record in SeqIO.parse('reads.fastq', 'fastq'): qualities = record.letter_annotations['phred_quality'] print(record.id, qualities[:10]) # First 10 quality scores ``` ## Quality Score Basics | Phred Score | Error Probability | Accuracy | |-------------|--------------

What's inside
Steps it walks through
  1. Version Compatibility
  2. Required Imports
  3. Accessing Quality Scores
  4. Quality Score Basics
  5. Code Patterns
  6. Calculate Average Quality per Read
  7. Filter Reads by Mean Quality
  8. Filter by Minimum Quality at Any Position
  9. Trim Low-Quality Ends (3' Trimming)
  10. Sliding Window Quality Trim
  11. Quality Statistics Summary
  12. Per-Position Quality Profile
  13. Count Reads by Quality Threshold
  14. Remove N Bases and Low Quality Together
Ships with 2 files
  • examples/fastq_quality.py
  • usage-guide.md
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-fastq-quality skill do?

Work with FASTQ quality scores using Biopython. Use when analyzing read quality, filtering by quality, trimming low-quality bases, or generating quality reports.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-fastq-quality --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