Pigou Wu
feixiang-skill
飞象星球教学平台 OpenClaw Skill - 作业/考试/AI精准练 API 客户端
正在推进 / 66%。
no code insight
wiki gap / No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.
make it smaller
- GitHub / 2026-04-05 / PIGU-PPPgu/feixiang-skill
- wiki / 今天 / 26 files
- 1整理项目定位
- 2补充 README 摘要
- 3确认展示边界
- 01Generate LLM code insights for the most important source files.
- 02Add one approved public screenshot or product surface image.
AI progress / project progress
updates / doing / logs / open tasks
README / media / wiki / code
shipped / snapshot / media / confidence
waiting / stale / AI risks
- no code insight
- no public media
综合分 37/100，建议为 low。这个值来自任务紧急度、近期动量、战略相关性、成熟/影响证据和停滞惩罚；它只是候选建议，只有 apply 后才会改项目 priority。
Open P0/P1 tasks and active doing items.
Recent repository pushes, project updates, and log activity.
Current lifecycle state plus Pigou OS/workflow/life-state relevance.
Progress, shipped/use signals, screenshots, and repository scale.
Paused, archived, or stale projects should cool down unless other signals are strong.
- no open linked tasks
- repo files: 26
- last push: 2026-04-05
- launch/use signal in project text
- strategic OS/workflow signal in project text
- progress evaluation: 66% building
GitHub sync processed; Pigou OS refreshed the project wiki, progress, status, and sync log signals from repository evidence.
The sync pipeline applied local repository, wiki, task, image, and log signals after refreshing GitHub data.
Project status, launch wording, and product surface signals.
Repository file count, framework, entrypoint, module, and code insight signals.
Launch/use wording, screenshots, and visible product proof.
Project notes, README summary, and wiki/code insight completeness.
Recent push, linked work items, and project log activity.
- repo files: 26
- last push: 2026-04-05
- No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.
- Generate LLM code insights for the most important source files.
- Add one approved public screenshot or product surface image.
飞象星球教学平台的 OpenClaw Skill，通过直接调用平台 API 实现作业、考试、AI精准练数据的自动化获取与分析。
- 作业列表、提交情况、未交名单、正确率 - 考试列表、成绩分布、优良及格率 - 周周清错题知识点分析 - Token 自动刷新（无需手动维护登录状态）
先在 OpenClaw 浏览器（profile=openclaw）中打开并登录飞象星球，然后运行：
脚本会自动从浏览器读取 cookie、刷新 token、检测班级信息，一步完成。
飞象星球教学平台的 OpenClaw Skill，通过直接调用平台 API 实现作业、考试、AI精准练数据的自动化获取与分析。
JavaScript project with 26 indexed file(s).
package.json
- No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.
- Generate LLM code insights for the most important source files.
- Add one approved public screenshot or product surface image.
- Repository: PIGU-PPPgu/feixiang-skill
- Default branch: main
- Indexed files: 26
- Primary language: JavaScript
- Frameworks: not detected
- Last pushed: 2026-04-05
- Snapshot: 2026-06-27
- 1Generate per-file summaries for important source files.
- 2Connect modules to project goals and next actions.
- 3Detect stale README sections by comparing code signals with project description.
- 4Persist historical wiki snapshots to show architecture drift.
src
高置信Source root: 8 file(s) under src/
- No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.