Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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)。
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)。
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
把「手动点网页」变成「可复用命令流程」: 列作业入口(taskrefId) 解析到 doHomeWork URL 抓题并生成可编辑答案模板 暂存(save)/交卷(submit) 手写图答案流水线:文本答案 → 手写 PNG → 图床 URL → HTML <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: HandWrite(手写渲染能力) 学习通 API:mooc1-api.chaoxing.com 超星图床上传接口:notice.chaoxing.com/pc/files/uploadNoticeFile
默认 Cookie 文件:~/.openclaw/credentials/xuexitong_cookie.txt save 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): 若有新版本,会打印更新提示 不会阻塞主流程(网络失败时静默跳过) 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
401/403 或页面异常:Cookie 过期,重新抓取 Cookie。 单题提交成功但多题空白:请传 --work-json,脚本会逐题提取隐藏字段。 服务器偶发 EOF/限流:重试或加 --sleep-ms 200 降速。
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