sentencepiece SKILL.md skillA

sentencepiece from orchestra-research/ai-research-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add orchestra-research/ai-research-skills/sentencepiece@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
orchestra-research/ai-research-skills
Path
02-tokenization/sentencepiece/SKILL.md
Versions recorded
4
Latest version
v1.0.0, committed Nov 20, 2025
First version recorded
Nov 9, 2025
Size
5,632 bytes
Repository stars
13,718
License
MIT

Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# SentencePiece - Language-Independent Tokenization

Unsupervised tokenizer that works on raw text without language-specific preprocessing.

## When to use SentencePiece

**Use SentencePiece when:**
- Building multilingual models (no language-specific rules)
- Working with CJK languages (Chinese, Japanese, Korean)
- Need reproducible tokenization (deterministic vocabulary)
- Want to train on raw text (no pre-tokenization needed)
- Require lightweight deployment (6MB memory, 50k sentences/sec)

**Performance**:
- **Speed**: 50,000 sentences/sec
- **Memory**: ~6MB for loaded model
- **Languages**: All (language-independent)

**Use alternatives instead**:
- **HuggingFace Tokenizers**: Faster training, more flexibility
- **tiktoken**: OpenAI models (GPT-3.5/4)
- **BERT WordPiece**: English-centric tasks

## Quick start

### Installation

```bash
# Python
pip install sentencepiece

# C++ (requires CMake)
git clone https://github.com/google/sentencepiece.git
cd sentencepiece
mkdir build && cd build
cmake .. && make -j $(nproc)
sudo make install
```

### Train model

```bash
# Command-line (BPE with 8000 vocab)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add orchestra-research/ai-research-skills/sentencepiece@sha256:47b1d10f419a51a4

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_5o7ynuvmpnffgccr.svg)](https://markdownregistry.com/a/art_5o7ynuvmpnffgccr)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Nov 9, 2025 and Nov 20, 2025, about one every 4 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2025-11-20 72c8b2c 5,632 BA view · diff
v1.0.02025-11-20 f38509b 5,631 BA view · diff
v1.0.02025-11-19 bd4461f 5,630 BA view · diff
git:20251109.096b8f02025-11-09 096b8f0 5,402 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5632 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

orchestra-research/ai-research-skills · 13,718 stars · license MIT · pushed 2026-10-11 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_5o7ynuvmpnffgccr
GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/sentencepiece
GET https://markdownregistry.com/api/v1/blob/47b1d10f419a51a400010bcd80d99a8bdb5c4510fc3e57fe9bc9be7efa6a48f8

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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