Ross ROSS = Recommend OSS · open-source software intelligence for agents

SheepChef/Abracadabra

Some data may be outdated — see provenance labels.

Abracadabra 魔曰,古文风文本加密工具 observed · 2026-09-28

github.com/SheepChef/Abracadabra · homepage · JavaScript · NOASSERTION (other) observed · 2026-09-28

Health v2 · maintenance only

83/100

  • Activity 94
  • Release rhythm 87
  • Longevity 52

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 8
  • age_days: 730
  • days_rel: 91
  • days_push: 37
  • n_releases_24m: 38

Full methodology

Adoption not part of the score

2495 stars · 232 forks observed · 2026-09-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Abracadabra is an open-source text encryption tool that transforms encrypted data into realistic Classical Chinese (wenyan) prose, using AES-256 plus compression and randomized sentence construction. It ships as a JavaScript/WASM library with a web app and browser extension, and can also decrypt the legacy 'Xiong Yue' cipher.

Use cases

  • encrypt text so it looks like classical Chinese prose
  • hide encrypted messages in literary-looking text
  • encrypt short strings with AES locally offline
  • decrypt Xiong Yue (与熊论道) ciphertext
  • compress text before encryption to shorten ciphertext
  • embed a text encryption library in a web app

When to choose

  • you want ciphertext that blends in as normal Classical Chinese text
  • you need local, offline AES-based text encryption in JavaScript
  • you want tunable randomness and text style in encrypted output
  • you need to decrypt legacy Xiong Yue encoded text

When to avoid

  • you need formally audited, standards-compliant cryptography for production security
  • you need a permissive license for unrestricted commercial use (AIPL-1.1 has restrictions)
  • you need encryption of non-text/binary data at scale
  • you need output in languages other than Chinese

Facets

library · maturity active

cryptography serialization compression security privacy developer-tools browser wasm classical-chinese text-encryption steganography-like aes chinese-characters browser-extension natural-language-processing javascript web-server nodejs

2 sources

Member repositories

RepositoryRoleHealth v2
SheepChef/Abracadabramain83

For agents

markdown · JSON · MCP: product_card(name="SheepChef/Abracadabra")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem