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clarity-variant

Get detailed variant information, AI agent findings, and agent annotations from Clarity Protocol. Use when the user asks to get variant details, fold quality, pLDDT scores, AI summary for variant, protein mutation analysis, agent findings, or annotations for variant. Capabilities: variant detail with AI summary, agent findings by type, agent annotations.

clarityprotocol0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install clarityprotocol/clarity-variant

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Clarity Variant Skill

Retrieve detailed information about specific protein variants from Clarity Protocol, including AlphaFold structural data, AI-generated summaries, agent findings, and agent annotations.

Quick Start

Get variant details:

python scripts/get_variant.py --fold-id 1

Get variant details in readable format:

python scripts/get_variant.py --fold-id 1 --format summary

Get all agent findings for a variant:

python scripts/get_findings.py --fold-id 1

Get findings from specific agent type:

python scripts/get_findings.py --fold-id 1 --agent-type structural

Get agent annotations for a variant:

python scripts/get_annotations.py --fold-id 1
python scripts/get_annotations.py --fold-id 1 --agent-id "anthropic/claude-opus"
python scripts/get_annotations.py --fold-id 1 --type structural_observation

Variant Detail Fields

  • id: Unique fold identifier
  • protein_name: Protein name
  • variant: Mutation notation
  • disease: Associated disease
  • uniprot_id: UniProt database identifier
  • average_confidence: AlphaFold pLDDT confidence score (0-100)
  • ai_summary: AI-generated analysis of the mutation
  • notes: Additional annotations
  • created_at: When the fold was created

Agent Findings Fields

Each finding includes:

  • id: Unique finding identifier
  • fold_id: Associated variant ID
  • agent_type: Agent that generated the finding (structural, clinical, literature, synthesis)
  • data: Structured data discovered by the agent
  • summary: Human-readable summary of findings
  • created_at: When the finding was created

Agent Types

  • structural: Analyzes protein structure changes from AlphaFold data
  • clinical: Searches ClinVar and gnomAD for clinical significance
  • literature: Searches PubMed for relevant research papers
  • synthesis: Synthesizes findings from all other agents

Agent Annotation Fields

Each annotation includes:

  • id: Unique annotation i...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/clarityprotocol/clarity-variant
Version
—
Commit
1c6ec69038695f6735a1f5057b61b5b4d134bd13
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# Clarity Variant Skill

Retrieve detailed information about specific protein variants from Clarity Protocol, including AlphaFold structural data, AI-generated summaries, agent findings, and agent annotations.

## Quick Start

Get variant details:

```bash
python scripts/get_variant.py --fold-id 1
```

Get variant details in readable format:

```bash
python scripts/get_variant.py --fold-id 1 --format summary
```

Get all agent findings for a variant:

```bash
python scripts/get_findings.py --fold-id 1
```

Get findings from specific agent type:

```bash
python scripts/get_findings.py --fold-id 1 --agent-type structural
```

Get agent annotations for a variant:

```bash
python scripts/get_annotations.py --fold-id 1
python scripts/get_annotations.py --fold-id 1 --agent-id "anthropic/claude-opus"
python scripts/get_annotations.py --fold-id 1 --type structural_observation
```

## Variant Detail Fields

- `id`: Unique fold identifier
- `protein_name`: Protein name
- `variant`: Mutation notation
- `disease`: Associated disease
- `uniprot_id`: UniProt database identifier
- `average_confidence`: AlphaFold pLDDT confidence score (0-100)
- `ai_summary`: AI-generated analysis of the mutation
- `notes`: Additional annotations
- `created_at`: When the fold was created

## Agent Findings Fields

Each finding includes:

- `id`: Unique finding identifier
- `fold_id`: Associated variant ID
- `agent_type`: Agent that generated the finding (structural, clinical, literature, synthesis)
- `data`: Structured data discovered by the agent
- `summary`: Human-readable summary of findings
- `created_at`: When the finding was created

## Agent Types

- **structural**: Analyzes protein structure changes from AlphaFold data
- **clinical**: Searches ClinVar and gnomAD for clinical significance
- **literature**: Searches PubMed for relevant research papers
- **synthesis**: Synthesizes findings from all other agents

## Agent Annotation Fields

Each annotation includes:

- `id`: Unique annotation i...

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