Claude-code-plugins-plus grammarly-hello-world
install
source · Clone the upstream repo
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/jeremylongshore/claude-code-plugins-plus-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/saas-packs/grammarly-pack/skills/grammarly-hello-world" ~/.claude/skills/jeremylongshore-claude-code-plugins-plus-grammarly-hello-world && rm -rf "$T"
manifest:
plugins/saas-packs/grammarly-pack/skills/grammarly-hello-world/SKILL.mdsource content
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
setupgrammarly-install-auth - Valid access token with
scopescores-api:read
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 |
|---|---|---|
| Token expired | Re-authenticate |
| Text too short (< 30 words) | Minimum 30 words required |
| Text > 100,000 characters | Split into chunks |
| Too many requests | Implement backoff |
Resources
Next Steps
Proceed to
grammarly-local-dev-loop for development workflow.