# fuckcqcs/fuckcqcs

14小时

Repository: https://github.com/fuckcqcs/fuckcqcs
Canonical: https://ross.abutalabs.com/products/fuckcqcs
Language: HTML
License Family: other
Last push: 2018-07-27T11:33:38+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": 2964, "days_push": 2959, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4297, forks 747 (observed 2026-08-28T04:08:41.528594+00:00)

## What it is
A curated dataset of vaccine procurement and sales records across Chinese provinces (2016-2018), compiled manually from government public disclosures during the 2018 Changchun Changsheng vaccine scandal. The data is presented as HTML pages, one per province, covering vaccines sold by the companies involved in the incident.

## Use cases
- look up which provinces purchased vaccines from the companies tied to the 2018 vaccine scandal
- research vaccine procurement distribution across Chinese provinces from 2016 to 2018
- find publicly disclosed government vaccine bidding data in one place
- verify whether a specific province bought vaccines from Changchun Changsheng or related firms
- use the dataset as a starting point for journalism or data analysis on vaccine safety

## When to choose
- you need the 2016-2018 provincial vaccine procurement records related to the scandal companies
- you want manually verified data sourced from official government disclosures rather than scraped data
- you need a quick per-province reference compiled during the 2018 incident

## When to avoid
- you need current or post-2018 vaccine procurement data
- you need batch-level vaccine lot numbers, which the dataset explicitly does not track
- you need the actual problem vaccine batch data from the news, which this dataset does not contain
- you need machine-readable formats like CSV or JSON, since the data is in HTML pages

## Facets
- artifact type: dataset
- maturity: abandoned
- function: data-science, analytics
- domain: healthcare, data-science, e-government
- platform: cross-platform
- tags: vaccine-data, china, public-records, html-pages, 2018-vaccine-scandal, government-data, web-server

## Member repositories
- fuckcqcs/fuckcqcs (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:41.528594+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 2026-08-29T18:21:51.899182+00:00, confidence not recorded.
  - readme: https://github.com/fuckcqcs/fuckcqcs (fetched 2026-08-28T04:08:41.528594+00:00, sha 8b89ea081726)
- Data as of 2026-08-30T08:39:29.467469+00:00.