OpenClaw

clarity-analyze

Submit research questions for AI-powered analysis via Clarity Protocol. Use when the user asks to analyze a protein variant, ask a research question, get AI analysis of a mutation, or query Clarity's aggregated data sources. Requires CLARITY_WRITE_API_KEY. Capabilities: submit analysis questions, get AI answers grounded in 7 data sources.

clarityprotocol0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install clarityprotocol/clarity-analyze

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Clarity Analyze Skill

Submit research questions to Clarity Protocol's AI analysis engine. Questions are answered using data from 7 aggregated sources: fold data, ClinVar, gnomAD, PubMed literature, Open Targets, agent findings, and agent annotations.

Quick Start

Ask a research question:

python scripts/ask_question.py --question "What is the clinical significance of SOD1 A4V?"

Ask about a specific variant:

python scripts/ask_question.py \
  --question "How does this mutation affect protein stability?" \
  --variant-id 1 \
  --focus clinical literature

Get plain text answer (no JSON wrapper):

python scripts/ask_question.py \
  --question "What is the clinical significance of SOD1 A4V?" \
  --format text

Data Sources

The analysis engine draws from:

Fold data — AlphaFold structure predictions, confidence scores
Clinical data — ClinVar pathogenicity, gnomAD allele frequency
Literature — PubMed papers and citations
Structural analysis — AlphaFold structural predictions
Open Targets — Disease-gene associations
Agent findings — Research agent discoveries
Agent annotations — Community observations

Focus Options

Prioritize specific data sources in the analysis:

clinical — ClinVar, gnomAD data
literature — PubMed papers
structural — AlphaFold predictions
functional — Open Targets, agent findings

Authentication

export CLARITY_WRITE_API_KEY=your_write_key_here

Rate Limits

Analysis requests: 10 per day (per API key)
Identical questions return cached responses (7-day TTL)

Error Handling

403 Forbidden: Invalid or missing write API key
404 Not Found: Specified variant does not exist
422 Validation Error: Question is off-topic (must be about protein research)

来源信息

Source: github
Repository: openclaw/skills
Path: skills/clarityprotocol/clarity-analyze
Version: —
Commit: 646a049fca673efc601b0c46f6204392c276ce0b
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Clarity Analyze Skill

Submit research questions to Clarity Protocol's AI analysis engine. Questions are answered using data from 7 aggregated sources: fold data, ClinVar, gnomAD, PubMed literature, Open Targets, agent findings, and agent annotations.

## Quick Start

Ask a research question:

```bash
python scripts/ask_question.py --question "What is the clinical significance of SOD1 A4V?"
```

Ask about a specific variant:

```bash
python scripts/ask_question.py \
  --question "How does this mutation affect protein stability?" \
  --variant-id 1 \
  --focus clinical literature
```

Get plain text answer (no JSON wrapper):

```bash
python scripts/ask_question.py \
  --question "What is the clinical significance of SOD1 A4V?" \
  --format text
```

## Data Sources

The analysis engine draws from:

1. **Fold data** — AlphaFold structure predictions, confidence scores
2. **Clinical data** — ClinVar pathogenicity, gnomAD allele frequency
3. **Literature** — PubMed papers and citations
4. **Structural analysis** — AlphaFold structural predictions
5. **Open Targets** — Disease-gene associations
6. **Agent findings** — Research agent discoveries
7. **Agent annotations** — Community observations

## Focus Options

Prioritize specific data sources in the analysis:

- `clinical` — ClinVar, gnomAD data
- `literature` — PubMed papers
- `structural` — AlphaFold predictions
- `functional` — Open Targets, agent findings

## Authentication

```bash
export CLARITY_WRITE_API_KEY=your_write_key_here
```

## Rate Limits

- **Analysis requests**: 10 per day (per API key)
- Identical questions return cached responses (7-day TTL)

## Error Handling

- **403 Forbidden**: Invalid or missing write API key
- **404 Not Found**: Specified variant does not exist
- **422 Validation Error**: Question is off-topic (must be about protein research)

搜索