Agent skill · Testing & QA

bio-splicing-qc

Assesses RNA-seq data quality for splicing analysis including junction saturation curves, splice site strength scoring, and junction coverage metrics using RSeQC. Use when evaluating data suitability for splicing analysis or troubleshooting low event detection.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-splicing-qc --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-splicing-qc/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: matplotlib 3.8+, pandas 2.2+, pysam 0.22+ 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. # Splicing Quality Control Assess RNA-seq data quality specifically for alternative splicing analysis. ## Junction Saturation Analysis **Goal:** Determine whether sequencing depth is sufficient for comprehensive splicing detection. **Approach:** Run RSeQC junction saturation on BAM files and check whether the junction discovery curve reaches a plateau. **"Assess RNA-seq quality for splicing analysis"** -> Evaluate junction saturation, junction novelty rate, splice site strength, and read coverage. - Python/CLI: `junction_saturation.py`, `junction_annotation.py` (RSeQC) - Python: maxentpy for splice site scoring, pysam for junction read counting ```bash # RSeQC junction saturation (check sequencing depth) # N

What's inside
Steps it walks through
  1. Version Compatibility
  2. Junction Saturation Analysis
  3. Junction Annotation
  4. Splice Site Strength Scoring
  5. Junction Read Coverage
  6. Quality Thresholds
  7. Troubleshooting Low Detection
  8. Related Skills
Ships with 2 files
  • examples/splicing_qc.py
  • usage-guide.md
Commands it runs
RSeQC junction saturation (check sequencing depth)
junction_saturation.py \
Classify junctions as known, partial novel, or complete novel
junction_annotation.py \
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-splicing-qc skill do?

Assesses RNA-seq data quality for splicing analysis including junction saturation curves, splice site strength scoring, and junction coverage metrics using RSeQC. Use when evaluating data suitability for splicing analysis or troubleshooting low event detection.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-splicing-qc --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.

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