# feiniaoyun/feiniaoyun

Repository: https://github.com/feiniaoyun/feiniaoyun
Canonical: https://ross.abutalabs.com/products/feiniaoyun
License Family: other
Last push: 2026-08-26T07:56:32+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 54
- inputs: {"age_days": 760, "days_push": 7, "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 2199, forks 80 (observed 2026-08-28T04:06:25.570960+00:00)

## What it is
A repository serving as a mirror-link directory for Feiniaoyun, a commercial VPN/proxy subscription service, listing rotating access URLs reachable from mainland China. It also promotes a 30% referral commission program for inviting new paying users.

## Use cases
- find working mirror urls for a vpn service in china
- access blocked websites from mainland china
- get a proxy subscription that works without a vpn to reach the signup page
- earn referral commissions by inviting users to a proxy service
- bypass internet censorship with a commercial proxy provider

## When to choose
- you need frequently updated mirror addresses to reach a proxy service from China
- you want a paid VPN-style subscription with referral rewards

## When to avoid
- you want auditable open-source VPN server or client software
- you need a self-hosted censorship-circumvention solution you control
- you require a project with a license, source code, or transparent development

## Facets
- artifact type: service
- maturity: active
- function: vpn, proxy, privacy
- domain: censorship-circumvention, privacy, networking
- platform: cross-platform, self-hosted
- tags: vpn-service, mirror-links, china-access, referral-program, proxy-service, web-server

## Member repositories
- feiniaoyun/feiniaoyun (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:25.570960+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 2026-08-30T02:47:07.331824+00:00, confidence not recorded.
  - readme: https://github.com/feiniaoyun/feiniaoyun (fetched 2026-08-28T04:06:25.570960+00:00, sha df29f7babf13)
- Data as of 2026-08-30T08:39:29.467469+00:00.