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crispr-grna-designer

Design CRISPR gRNA sequences for specific gene exons with off-target prediction and efficiency scoring. Trigger when user needs gRNA design, CRISPR guide RNA selection, or genome editing target analysis.

89

2.00x
Quality

86%

Does it follow best practices?

Impact

96%

2.00x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Evaluation results

100%

61%

CRISPR Guide RNA Design for Cancer Research

gRNA design and output format

Criteria
Without context
With context

Uses main.py script

0%

100%

Output file created

100%

100%

Top-level JSON schema

40%

100%

Guide object fields

41%

100%

Guide ID format

20%

100%

Correct gene and genome

50%

100%

Guides sorted by efficiency

0%

100%

GC content values present

0%

100%

Efficiency scores in 0-1 range

25%

100%

Summary identifies top 3

100%

100%

Warnings field used

100%

100%

98%

46%

Guide RNA Quality Assessment for Gene Knockout

efficiency scoring and quality criteria

Criteria
Without context
With context

Uses scripts/main.py

0%

100%

GC content optimal range

0%

100%

Poly-T penalty documented

100%

100%

Position 20 G preference

100%

100%

Position 19 C preference

0%

100%

High-activity threshold stated

0%

80%

Guides sorted by efficiency

50%

100%

Efficiency scores 0-1

0%

100%

Warnings for quality issues

100%

100%

Top guide analysis

100%

100%

Score formula components

100%

100%

90%

35%

Therapeutic CRISPR Guide Selection with Off-Target Risk Assessment

off-target prediction and high-specificity design

Criteria
Without context
With context

Stricter mismatch threshold

50%

100%

Narrower GC range

40%

100%

Off-target count in output

75%

100%

Genomic context risk classification

33%

58%

Seed region explanation

80%

100%

CFD score referenced

100%

100%

Experimental validation recommended

80%

50%

Guides sorted by efficiency

14%

100%

Uses main.py script

0%

100%

Off-target risk integrated in ranking

87%

100%

In silico limitation acknowledged

57%

100%

Repository
aipoch/medical-research-skills
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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