IELTS Grading Assistant for Openclaw

A professional evaluation tool that provides official IELTS band scores and actionable feedback for writing and speaking responses.

yezaijun
v1.0.0
Apr 17, 2026
0
833
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install ielts-grading

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install ielts-grading using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is IELTS Grading Assistant?

The IELTS Grading skill is a comprehensive assessment tool built for students and educators to provide high-fidelity scoring for IELTS components. It utilizes official criteria to evaluate Writing (Task 1 and 2) and Speaking responses, ensuring every score is backed by specific textual evidence. As part of the Openclaw Skills ecosystem, it bridges the gap between raw AI responses and standardized academic evaluation by incorporating real-time prompt verification and local expert standards. By focusing on the four core dimensions of the official exam, it provides a transparent and traceable grading process.

IELTS Grading Assistant Use Cases

  • Assessing IELTS Writing Task 1 and Task 2 essays for official band scores.
  • Evaluating Speaking mock interview transcripts for fluency and coherence.
  • Verifying exam prompts against web-based databases to ensure contextual accuracy.
  • Generating personalized improvement plans based on specific linguistic evidence.
  • Simulating strict exam conditions for high-stakes test preparation.

How IELTS Grading Assistant Works

  1. Task Identification: The agent determines if the input is a Writing or Speaking task and requests missing prompt details if necessary.
  2. Prompt Verification: It uses web search tools to find the original exam question, ensuring the evaluation is contextually accurate.
  3. Multi-Dimension Grading: The response is analyzed across four official criteria, such as Lexical Resource and Grammatical Range, using local reference files.
  4. Evidence Extraction: Specific phrases or sentences are highlighted from the user's input as evidence for the assigned scores.
  5. Final Reporting: A structured report is generated within the Openclaw Skills interface including scores, confidence levels, and direct suggestions for improvement.

IELTS Grading Assistant Setup

To initialize this tool, ensure you have the necessary local grading standard files in your skill directory. Enable search capabilities to allow the agent to verify prompts online.

# Required local files in the skill path:
# 写作评分标准.md
# 口语评分标准.md

# Ensure your agent has permission to use the internet for prompt verification.

IELTS Grading Assistant Data Schema & Taxonomy

The skill organizes its output into a structured report for clarity and traceability:

Category Description
Prompt Meta The verified exam question, source links, and version differences.
Band Scores Numerical scores (including 0.5 increments) for each of the four official IELTS dimensions.
Linguistic Evidence Direct quotes from the user text supporting the grade for each dimension.
Confidence Score A metric (High/Medium/Low) based on prompt match accuracy and text length.
Actionable Advice Prioritized feedback for immediate score improvement.

IELTS Grading Assistant Advanced Features

  • Multi-source prompt cross-referencing to ensure task accuracy even with partial user memory.
  • Support for both standard and strict grading modes for different preparation stages.
  • Confidence level reporting for pronunciation based on transcription quality in speaking tasks.
  • Direct rewrite suggestions that show users how to transform their original sentences into higher-band structures.
  • Seamless integration with the Openclaw Skills framework for consistent academic feedback.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*