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.

Install with Tessl CLI

npx tessl i github:aipoch/medical-research-skills --skill crispr-grna-designer

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Review — 86%

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Validation — 10 / 11 Passed

Validation for skill structure

SKILL.md

Review

Evals

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

100%

Output file created

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

100%

GC content values present

100%

Efficiency scores in 0-1 range

25%

100%

Summary identifies top 3

100%

Warnings field used

100%

Without context: $0.2981 · 1m 45s · 16 turns · 19 in / 6,395 out tokens

With context: $0.6817 · 2m 16s · 27 turns · 6,943 in / 5,752 out tokens

98%

46%

Guide RNA Quality Assessment for Gene Knockout

efficiency scoring and quality criteria

Criteria

Without context

With context

Uses scripts/main.py

100%

GC content optimal range

100%

Poly-T penalty documented

100%

Position 20 G preference

100%

Position 19 C preference

100%

High-activity threshold stated

80%

Guides sorted by efficiency

50%

100%

Efficiency scores 0-1

100%

Warnings for quality issues

100%

Top guide analysis

100%

Score formula components

100%

Without context: $0.9826 · 5m 8s · 31 turns · 38 in / 17,189 out tokens

With context: $0.7772 · 3m 20s · 30 turns · 6,768 in / 8,189 out tokens

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%

Experimental validation recommended

80%

50%

Guides sorted by efficiency

14%

100%

Uses main.py script

100%

Off-target risk integrated in ranking

87%

100%

In silico limitation acknowledged

57%

100%

Without context: $0.6277 · 4m · 17 turns · 23 in / 15,099 out tokens

With context: $0.8497 · 3m 40s · 30 turns · 6,658 in / 10,010 out tokens

Evaluated: 1 day ago
Agent: Claude Code

Table of Contents

CRISPR Guide RNA Design for Cancer Research Guide RNA Quality Assessment for Gene Knockout Therapeutic CRISPR Guide Selection with Off-Target Risk Assessment

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