# Salensoft/thu-cst-cracker

清华大学计算机系课程攻略

Repository: https://github.com/Salensoft/thu-cst-cracker
Canonical: https://ross.abutalabs.com/products/thu-cst-cracker
Language: C++
License: MIT
License Family: permissive
Last push: 2020-02-28T12:20:24+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2781, "days_push": 2378, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3045, forks 1164 (observed 2026-08-28T04:07:39.488142+00:00)

## What it is
A community-maintained repository of course guides, past exams, homework solutions, and study materials for Tsinghua University's Computer Science department. It organizes student-contributed resources per course on GitHub so knowledge is preserved and shared across cohorts.

## Use cases
- find past exams for Tsinghua CS courses
- get course guides before enrolling in a class
- download lecture notes and reference materials
- share homework solutions with future students
- read advice on surviving specific CS courses
- find A4 cheat sheets for open-book exams

## When to choose
- you are a Tsinghua CS student looking for course materials or advice
- you want to contribute study resources for these specific courses
- you need historical exam papers and review notes for the curriculum

## When to avoid
- you need course materials for a different university
- you want officially licensed textbooks or copyrighted courseware
- you need structured, machine-readable educational data

## Facets
- artifact type: dataset
- maturity: maintenance
- function: documentation
- domain: education, tutorials, awesome-lists
- platform: -
- tags: course-materials, tsinghua-university, study-notes, exam-papers, community-contributed, computer-science, web-server

## Member repositories
- Salensoft/thu-cst-cracker (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:39.488142+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:28:57.464818+00:00, confidence not recorded.
  - readme: https://github.com/Salensoft/thu-cst-cracker (fetched 2026-08-28T04:07:39.488142+00:00, sha 604c2b841cfe)
- Data as of 2026-08-30T08:39:29.467469+00:00.