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
86%
Does it follow best practices?
Impact
96%
2.00xAverage score across 3 eval scenarios
Passed
No known issues
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a well-crafted skill description that excels across all dimensions. It provides specific capabilities (gRNA design, off-target prediction, efficiency scoring), uses natural domain-specific trigger terms, explicitly states both what it does and when to use it, and occupies a clear niche that won't conflict with other skills. Uses proper third-person voice throughout.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Design CRISPR gRNA sequences', 'off-target prediction', and 'efficiency scoring' for 'specific gene exons'. These are concrete, domain-specific capabilities. | 3 / 3 |
Completeness | Clearly answers both what ('Design CRISPR gRNA sequences for specific gene exons with off-target prediction and efficiency scoring') and when ('Trigger when user needs gRNA design, CRISPR guide RNA selection, or genome editing target analysis'). | 3 / 3 |
Trigger Term Quality | Includes natural keywords users would say: 'gRNA design', 'CRISPR', 'guide RNA selection', 'genome editing', 'target analysis'. Good coverage of terms a biologist would naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | Highly specialized niche in CRISPR/genome editing with distinct technical triggers like 'gRNA', 'CRISPR', 'guide RNA'. Very unlikely to conflict with other skills due to domain specificity. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides strong actionable guidance with concrete CLI examples, clear parameter documentation, and well-organized progressive disclosure to reference materials. However, it's bloated with administrative sections (security checklists, risk assessments, lifecycle status) that don't help Claude execute the task, and lacks explicit validation workflows critical for a self-described HIGH difficulty bioinformatics task.
Suggestions
Remove or relocate administrative sections (Risk Assessment, Security Checklist, Evaluation Criteria, Lifecycle Status) to a separate METADATA.md file to improve token efficiency
Add an explicit step-by-step workflow section with validation checkpoints, e.g., '1. Design guides → 2. Review off-target report → 3. If off-target count > threshold, adjust parameters → 4. Export final candidates'
Consolidate the Technical Notes warning about experimental validation into the workflow as an explicit checkpoint rather than a standalone note
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill contains useful information but includes sections that add bulk without proportional value (Risk Assessment table, Security Checklist, Evaluation Criteria, Lifecycle Status). These administrative sections consume significant tokens that could be trimmed or moved to separate files. | 2 / 3 |
Actionability | Provides concrete CLI commands with specific flags, clear input parameter tables, executable examples for basic, high-specificity, and batch processing use cases, and names specific functions in the implementation section. The guidance is copy-paste ready. | 3 / 3 |
Workflow Clarity | While the skill lists usage examples and key functions, it lacks explicit step-by-step workflow with validation checkpoints. For a HIGH difficulty task requiring experimental validation, there should be clearer feedback loops (e.g., 'run validation script after design, review off-target report before proceeding'). | 2 / 3 |
Progressive Disclosure | Well-structured with clear sections, appropriate references to external files (references/, scoring_algorithms.pdf, off_target_databases/), and the main content stays at overview level while pointing to detailed materials. Navigation is straightforward. | 3 / 3 |
Total | 10 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- aipoch/medical-research-skills
- Commit
ca9aaa4
- Reviewed
Table of Contents
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