Individual skill
quality-assessment
Evaluate ENCODE experiment quality using standard metrics and audit flags. Use when the user asks about data quality, wants to filter for high-quality experiments, needs to interpret quality metrics (FRiP, NSC, RSC, NRF, IDR, TSS enrichment, fragment size), wants to understand ENCODE audit warnings, needs to compare quality across experiments, or is deciding whether data is usable for their analysis. Also use when the user mentions QC, quality control, or data filtering.
plugin/skills/quality-assessment/SKILL.md
Source commit 36836c8725fd4d20d9c851ce314f5151aea5f57c
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 21
- Repository last updated
- Sep 27, 2026
- License
- AGPL-3.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- ai-agents Repository topic
- ai-bio Repository topic
- bioinformatics Repository topic
- bioinformatics-tool Repository topic
- claude Repository topic
- claude-code Repository topic
- claude-code-mcp Repository topic
- claude-code-plugin Repository topic
- claude-code-skills Repository topic
- data Derived category
- security Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 32,848 bytesreferences/literature.mddoc · 19,149 bytes
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