grammarly-hello-world
Create a minimal working Grammarly example. Use when starting a new Grammarly integration, testing your setup, or learning basic Grammarly API patterns. Trigger with phrases like "grammarly hello world", "grammarly example", "grammarly quick start", "simple grammarly code".
Allowed Tools
Provided by Plugin
grammarly-pack
Claude Code skill pack for Grammarly (24 skills)
Installation
This skill is included in the grammarly-pack plugin:
/plugin install grammarly-pack@claude-code-plugins-plus
Click to copy
Instructions
Grammarly Hello World
Overview
Score a text document using Grammarly's Writing Score API. Returns an overall score plus sub-scores for engagement, correctness, tone, and clarity.
Prerequisites
- Completed
grammarly-install-authsetup - Valid access token with
scores-api:readscope
Instructions
Step 1: Score a Document
// hello-grammarly.ts
import 'dotenv/config';
const TOKEN = process.env.GRAMMARLY_ACCESS_TOKEN!;
async function scoreText(text: string) {
const response = await fetch('https://api.grammarly.com/ecosystem/api/v2/scores', {
method: 'POST',
headers: {
'Authorization': `Bearer ${TOKEN}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({ text }),
});
const result = await response.json();
console.log('Overall Score:', result.overallScore);
console.log('Engagement:', result.engagement);
console.log('Correctness:', result.correctness);
console.log('Clarity:', result.clarity);
console.log('Tone:', result.tone);
return result;
}
scoreText('Their going to the store tommorow to buy there supplys for the trip.').catch(console.error);
Step 2: AI Detection
async function detectAI(text: string) {
const response = await fetch('https://api.grammarly.com/ecosystem/api/v1/ai-detection', {
method: 'POST',
headers: {
'Authorization': `Bearer ${TOKEN}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({ text }),
});
const result = await response.json();
console.log('AI Score:', result.score); // 0-100, higher = more likely AI
return result;
}
Step 3: Plagiarism Detection
async function checkPlagiarism(text: string) {
// Step 1: Create score request
const createRes = await fetch('https://api.grammarly.com/ecosystem/api/v1/plagiarism', {
method: 'POST',
headers: { 'Authorization': `Bearer ${TOKEN}`, 'Content-Type': 'application/json' },
body: JSON.stringify({ text }),
});
const { id } = await createRes.json();
// Step 2: Poll for results
let result;
do {
await new Promise(r => setTimeout(r, 3000));
const statusRes = await fetch(`https://api.grammarly.com/ecosystem/api/v1/plagiarism/${id}`, {
headers: { 'Authorization': `Bearer ${TOKEN}` },
});
result = await statusRes.json();
} while (result.status === 'pending');
console.log('Plagiarism score:', result.score);
console.log('Matches:', result.matches?.length || 0);
return result;
}
Step 4: curl Quick Test
curl -X POST https://api.grammarly.com/ecosystem/api/v2/scores \
-H "Authorization: Bearer $GRAMMARLY_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"text": "This is a test sentence."}' | python3 -m json.tool
Output
- Writing score with engagement, correctness, clarity, and tone breakdown
- AI detection score (0-100)
- Plagiarism detection with source matches
Error Handling
| Error | Cause | Solution |
|---|---|---|
401 Unauthorized |
Token expired | Re-authenticate |
400 Bad Request |
Text too short (< 30 words) | Minimum 30 words required |
413 Payload Too Large |
Text > 100,000 characters | Split into chunks |
429 Rate Limited |
Too many requests | Implement backoff |
Examples
Use a fictional sentence such as The sample system work correctly. in a sandbox request, verify the response shape without persisting its suggestions, then record fixture=grammar-basic-v1; request=accepted; retention=none; cleanup=complete.
Resources
Next Steps
Proceed to grammarly-local-dev-loop for development workflow.