一键导入
xuexitong-homework-submit
学习通/超星作业自动化(v1.1.2):扫描作业、抓题模板、暂存/交卷、手写图答案流水线。致谢 HandWrite、学习通 API(mooc1-api.chaoxing.com)与超星图床上传接口(notice.chaoxing.com)。
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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学习通/超星作业自动化(v1.1.2):扫描作业、抓题模板、暂存/交卷、手写图答案流水线。致谢 HandWrite、学习通 API(mooc1-api.chaoxing.com)与超星图床上传接口(notice.chaoxing.com)。
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Bloom Mission Discovery — find missions matched to your taste, submit content, and track rewards. Powered by Bloom Protocol.
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First-time setup for the Durable Agents stack (Mastra + Trigger.dev). Run once before using the main skill.
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One-sentence description. Use when [trigger scenarios].
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| name | xuexitong-homework-submit |
| description | 学习通/超星作业自动化(v1.1.2):扫描作业、抓题模板、暂存/交卷、手写图答案流水线。致谢 HandWrite、学习通 API(mooc1-api.chaoxing.com)与超星图床上传接口(notice.chaoxing.com)。 |
| version | 1.1.2 |
| homepage | https://github.com/smallwhiteman/xuexitong-homework-submit-skill |
| metadata | {"author":"smallwhiteman","openclaw":{"emoji":"📚"}} |
把「手动点网页」变成「可复用命令流程」:
<img> → 暂存当前版本:v1.1.2
感谢本 Skill 使用到的三个核心依赖/服务:
mooc1-api.chaoxing.comnotice.chaoxing.com/pc/files/uploadNoticeFile~/.openclaw/credentials/xuexitong_cookie.txtsave 是安全操作(暂存)submit 是高风险操作(交卷),必须显式 --confirm目录变量:
{baseDir}指当前 skill 根目录。
# 1) 列出作业入口
python3 {baseDir}/scripts/xuexitong_submit.py list
# 2) 解析 task 链接 -> doHomeWork URL
python3 {baseDir}/scripts/xuexitong_submit.py resolve \
--task-url "<mtaskmsgspecial url>"
# 3) 抓题 + 生成答案模板
python3 {baseDir}/scripts/xuexitong_submit.py fetch \
--dohomework-url "<doHomeWork url>" \
--out work.json
python3 {baseDir}/scripts/xuexitong_submit.py template \
--work-json work.json \
--out answers.json
# 4) 暂存(推荐先走这步)
python3 {baseDir}/scripts/xuexitong_submit.py save \
--dohomework-url "<doHomeWork url>" \
--answers answers.json \
--work-json work.json
# 5) 交卷(必须显式确认)
python3 {baseDir}/scripts/xuexitong_submit.py submit \
--dohomework-url "<doHomeWork url>" \
--answers answers.json \
--work-json work.json \
--confirm
# A. 初始化:抓题并生成可编辑 answers_text.json
python3 {baseDir}/scripts/xuexitong_hw_pipeline.py init \
--dohomework-url "<doHomeWork url>" \
--outdir runs/run1
# 手动编辑 runs/run1/answers_text.json 的 answer 字段
# B. 执行:渲染->上传->生成 HTML 答案->暂存
python3 {baseDir}/scripts/xuexitong_hw_pipeline.py run \
--dohomework-url "<doHomeWork url>" \
--rundir runs/run1
python3 {baseDir}/scripts/xuexitong_scan_pending.py \
--limit 80 \
--out runs/pending_scan.json
输出包含:
candidates[]:候选作业(疑似未交且未写)resolveFailures[]:解析失败的任务入口每次运行主脚本都会去 GitHub 检查最新版本(读取仓库 VERSION):
更新命令:
clawhub update xuexitong-homework-submit
临时关闭更新检查:
XUEXITONG_SKIP_UPDATE_CHECK=1 python3 {baseDir}/scripts/xuexitong_submit.py list
--work-json,脚本会逐题提取隐藏字段。--sleep-ms 200 降速。