Grammarly hello world
'Create a minimal working Grammarly example.From its SKILL.md
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill grammarly-hello-worldAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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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 |
Resources
Next Steps
Proceed to grammarly-local-dev-loop for development workflow.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.