ielts-reading-reviewIELTS Reading passage review, scoring, and progress tracking skill. Generates structured review data (JSON) and deploys to tuyaya.online via saveReview API....
Install via ClawdBot CLI:
clawdbot install dengjiawei1226/ielts-reading-reviewGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
report → https://github.com/dengjiawei1226/ielts-reading-review/issuesCalls external URL not in known-safe list
https://github.com/dengjiawei1226/ielts-reading-review/issuesAI Analysis
The skill's primary function is local analysis and HTML generation for educational review. The external GitHub issues URL appears to be for reporting bugs or feedback, not a data sink for exfiltration. However, any undocumented external call warrants caution and transparency.
Audited Apr 18, 2026 · audit v1.0
Generated Sep 27, 2026
A student finishes a Cambridge IELTS reading practice test and uploads a screenshot of their wrong answers. The skill reads the screenshot, confirms the incorrect questions, generates a v4.0 JSON review with scores and error analysis, uploads it through the saveReview API, and returns a live link on liuxue.online for the student to revisit.
A user has years of scattered reading review notes and folders on their computer. The skill auto-discovers review folders, converts historical notes into structured JSON format, and batch imports them so their entire progress history becomes searchable and visualizable on the dashboard.
An IELTS tutor runs the skill in author mode to review students' reading attempts, deploy updated answer keys and vocabulary data to the server, and maintain a unified dashboard. Progress trends and band score statistics help the tutor identify weak areas per student across sessions.
A student practices on a phone app like IELTSBro, then reviews on desktop. The skill recognizes platform-specific answer markings (green/red circles, checkmarks, score summaries) and normalizes them into a consistent JSON schema for cross-device progress history.
Beyond wrong answers, the skill extracts difficult vocabulary and synonym substitutions from each passage into structured data. Learners get expanding vocabulary cards on the web dashboard, revealing which word families repeatedly cause comprehension failures.
Users without a configured token can still activate the skill to see version banners and guidance. Once onboarded, anonymous or named users (dengjiawei, lishuzhuo) contribute review data that supports aggregate band-score benchmarking across the community.
The core review and JSON generation is free, but cloud storage, dashboard access, progress analytics, and batch import of historical notes are gated behind a subscription. Users pay monthly to unlock unlimited review retention and cross-device sync on liuxue.online.
IELTS prep centers license the skill in author mode to deploy answer keys, manage multiple student accounts, and access aggregated class performance dashboards. The school pays per seat or per cohort, and the provider handles server deployment, updates, and support.
Anonymized aggregate data from reviews (common wrong answers, difficult passages, vocabulary gaps) is packaged into insight reports sold to publishers, test-prep content creators, and researchers. Individual users get personalized analytics for free or at a low tier, subsidizing the data business.
💬 Integration Tip
Configure the IELTS_USER_TOKEN environment variable for client mode, and ensure saveReview plus getReviews round-trip verification is always run before reporting completion—deployment alone does not guarantee data is stored.
Scored Sep 27, 2026
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