← Back to Skills Marketplace
kagurananaga

拾遗 · 通用备考错题追踪(shiyi-study-tracker)

by KaguraNanaga · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
257
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install shiyi-study-tracker
Description
拾遗 · 通用考试备考追踪 Skill。适用于任何考试——GRE、雅思、考研、注会、高考、期末…… 核心功能:识别错题截图 → 自由标签分类 → 词库积累复用 → 二刷提醒 → 导出 Excel。 触发关键词:做了题、错了、截图发来、导出错题、待二刷、记得、不记得、换考试。 图片消息直接触发识别。
Usage Guidance
This skill appears coherent and implements the stated study-tracker features locally. Before installing, note: (1) it writes all data to ~/.openclaw/skills/shiyi/data (questions, tag library, backups, exports) — review and manage that directory if you care about privacy; (2) image recognition is performed by the agentCall/multimodal model configured in your OpenClaw environment, so screenshots and prompts are sent to whatever model endpoint your agent uses — ensure you trust that model/provider; (3) the Excel export runs a small temporary Python script that requires Python + openpyxl on your system (not declared in package.json) — install those if you need export-with-images to work; (4) the skill runs scheduled scripts (cron/job entries suggested in README) which will read/write the local data dir — verify the cron configuration and channels (e.g., Feishu) you wire it to. If any of these are concerns (remote model usage, local data retention, or additional runtime deps), review the source files or run in a sandbox before enabling for production use.
Capability Analysis
Type: OpenClaw Skill Name: shiyi-study-tracker Version: 1.0.0 The 'shiyi-study-tracker' skill is a legitimate tool designed to help users track exam preparation by archiving incorrect questions from screenshots or text. It uses multi-modal LLM calls to extract structured data (subject, question type, knowledge points) and stores this information locally in the user's home directory (~/.openclaw/skills/shiyi/data/). The skill includes features for spaced-repetition (review reminders), automated tagging, and Excel export. While the export functionality in 'scripts/export_xlsx.js' dynamically generates and executes a temporary Python script using 'execFile', it does so using safe JSON serialization of internal data, and there is no evidence of malicious intent, data exfiltration, or unauthorized system access.
Capability Assessment
Purpose & Capability
Name/description match the implemented files: multimodal image parsing, tag library, local JSON storage, reminders, and Excel export. The files and logic are coherent with an exam study tracker.
Instruction Scope
Runtime instructions and code operate on user-provided messages/images and local data under ~/.openclaw/skills/shiyi/data. The agentCall invocation sends image+prompt to the configured multimodal model (expected for OCR/analysis). There are no instructions to read unrelated system config or to transmit data to third‑party endpoints beyond the agentCall model invocation.
Install Mechanism
This is instruction/code-only (no platform install spec). The Node code uses a Python helper (writes and runs a temporary .py using openpyxl) when exporting Excel files but package.json does not declare Python/openpyxl dependencies. Users must have a system Python and openpyxl installed for exports to work; this is an operational requirement rather than a malicious installer.
Credentials
The skill declares no required env vars, credentials, or external config paths. It only reads/writes files under the skill data directory in the user's home directory, which is consistent with its purpose.
Persistence & Privilege
always:false and no manipulation of other skills or global agent settings. The skill persists its own data under ~/.openclaw/skills/shiyi/data (config.json, wrong_questions.json, backups, exports), which is expected for a local tracker.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install shiyi-study-tracker
  3. After installation, invoke the skill by name or use /shiyi-study-tracker
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
shiyi-study-tracker v1.0.0 - 首个版本,通用考试错题与备考追踪 Skill,适配任意考试场景。 - 支持错题截图自动识别、自由标签分类与词库积累。 - 提供二刷提醒、自评、错题导出(含 Excel 筛选、截图嵌入)。 - 首次安装询问考试类型,支持随时更换,切换不影响历史错题。 - 每日定时推送错题汇总与复习提醒。 - 数据结构清晰,支持每日打卡与多重备份。
Metadata
Slug shiyi-study-tracker
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 拾遗 · 通用备考错题追踪(shiyi-study-tracker)?

拾遗 · 通用考试备考追踪 Skill。适用于任何考试——GRE、雅思、考研、注会、高考、期末…… 核心功能:识别错题截图 → 自由标签分类 → 词库积累复用 → 二刷提醒 → 导出 Excel。 触发关键词:做了题、错了、截图发来、导出错题、待二刷、记得、不记得、换考试。 图片消息直接触发识别。 It is an AI Agent Skill for Claude Code / OpenClaw, with 257 downloads so far.

How do I install 拾遗 · 通用备考错题追踪(shiyi-study-tracker)?

Run "/install shiyi-study-tracker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 拾遗 · 通用备考错题追踪(shiyi-study-tracker) free?

Yes, 拾遗 · 通用备考错题追踪(shiyi-study-tracker) is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 拾遗 · 通用备考错题追踪(shiyi-study-tracker) support?

拾遗 · 通用备考错题追踪(shiyi-study-tracker) is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 拾遗 · 通用备考错题追踪(shiyi-study-tracker)?

It is built and maintained by KaguraNanaga (@kagurananaga); the current version is v1.0.0.

💬 Comments