wiki-client
A command-line tool to fetch Wikipedia articles and display them in the terminal.
Overview
wiki is a Python CLI that retrieves Wikipedia articles via the
Wikipedia REST API and renders them with
Rich for a beautiful terminal experience.
Features
- Fetch articles — Query Wikipedia by article title or search query
- Search mode — Show a ranked list of search results
- Featured articles — Fetch Wikipedia's daily featured article
- Random articles — Fetch random Wikipedia articles
- Most-read articles — Fetch Wikipedia's most-read articles for yesterday
- Daily news — Fetch Wikipedia's "In the news" stories
- Raw output — Print plain text instead of Rich-formatted output
- AI Agent Skills — Ready-to-use skill files for OpenCode, Copilot, Claude, Codex, Windsurf, Aider, and Cursor
Requirements
- Python 3.10 or newer
The following Python packages are installed automatically:
| Package | Purpose |
|---|---|
| click | CLI argument parsing |
| httpx | HTTP requests to the Wikipedia API |
| rich | Terminal formatting and rendering |
Installation
Recommended: uvx (no permanent install required)
The easiest way to run wiki is with
uvx from the
uv toolkit. This downloads and runs the tool in
an isolated environment without permanently installing it:
uvx --from wiki-client wiki "Unix shell"
Install uv (if you haven't already):
curl -LsSf https://astral.sh/uv/install.sh | sh
pip install (permanent install)
Installing via pip places the wiki command on your $PATH directly:
pip install wiki-client
wiki "Unix shell"
Install from source
git clone https://github.com/dsillman2000/wiki-client.git
cd wiki-client
pip install .
wiki "Unix shell"
Or use the provided install script:
curl -fsSL https://raw.githubusercontent.com/dsillman2000/wiki-client/main/install.sh | bash
Install AI Agent Skills
The wiki CLI includes skill files for various AI agents. Install them directly from GitHub without cloning the repository:
Remote Installation (Recommended)
Use the unified installer script with the -a flag to specify the agent:
OpenCode
curl -fsSL https://raw.githubusercontent.com/dsillman2000/wiki-client/main/install/skill.sh | bash -s -- -a opencode
GitHub Copilot
curl -fsSL https://raw.githubusercontent.com/dsillman2000/wiki-client/main/install/skill.sh | bash -s -- -a copilot
Claude
curl -fsSL https://raw.githubusercontent.com/dsillman2000/wiki-client/main/install/skill.sh | bash -s -- -a claude
Codex
curl -fsSL https://raw.githubusercontent.com/dsillman2000/wiki-client/main/install/skill.sh | bash -s -- -a codex
Windsurf
curl -fsSL https://raw.githubusercontent.com/dsillman2000/wiki-client/main/install/skill.sh | bash -s -- -a windsurf
Aider
curl -fsSL https://raw.githubusercontent.com/dsillman2000/wiki-client/main/install/skill.sh | bash -s -- -a aider
Cursor
curl -fsSL https://raw.githubusercontent.com/dsillman2000/wiki-client/main/install/skill.sh | bash -s -- -a cursor
Install for Windsurf (Codeium)
curl -fsSL https://raw.githubusercontent.com/dsillman2000/wiki-client/main/install/skill.sh | sh -s -- -a windsurf
Install for Aider
curl -fsSL https://raw.githubusercontent.com/dsillman2000/wiki-client/main/install/skill.sh | sh -s -- -a aider
Install for Cursor
curl -fsSL https://raw.githubusercontent.com/dsillman2000/wiki-client/main/install/skill.sh | sh -s -- -a cursor
#### Local Installation
If you have cloned the repository, you can install locally:
```bash
# Install for OpenCode
./install/skill.sh -a opencode
# Install for GitHub Copilot
./install/skill.sh -a copilot
# Install for Claude
./install/skill.sh -a claude
# Install for Codex
./install/skill.sh -a codex
# Install for Windsurf (Codeium)
./install/skill.sh -a windsurf
# Install for Aider
./install/skill.sh -a aider
# Install for Cursor
./install/skill.sh -a cursor
Show help:
./install/skill.sh -h
Docker
A Docker image is available on GitHub Container Registry (GHCR) with all dependencies pre-installed:
# Pull the image
docker pull ghcr.io/dsillman2000/wiki-client:latest
# Run a query
docker run --rm ghcr.io/dsillman2000/wiki-client:latest "Unix shell"
# Extract specific section
docker run --rm ghcr.io/dsillman2000/wiki-client:latest -s History "Bash"
# List sections
docker run --rm ghcr.io/dsillman2000/wiki-client:latest --ls "Python"
# Save output to file (mount current directory)
docker run --rm -v "$(pwd)":/home/wiki ghcr.io/dsillman2000/wiki-client:latest \
"Operating system" -o os.md
Advantages:
- No local dependency installation required
- Consistent environment across systems
- Easy integration into CI/CD pipelines
- Lightweight multi-stage build (~218MB)
Usage
Basic Queries
# Fetch an article
wiki "Unix shell"
# Print plain text (no Rich formatting)
wiki "Unix shell" --raw
Search Mode
# Show search results instead of auto-fetching
wiki --search "shell programming"
Section Listing & Filtering
# List all sections in an article
wiki --list-sections "Unix shell"
wiki --ls "Unix shell" # shorthand
# Extract a specific section (fuzzy match)
wiki -s History "Unix shell"
wiki -s "early" "Unix shell" # matches "Early shells", "Early history", etc.
# Multiple sections
wiki -s History -s "See also" "Unix shell"
Featured & Random Articles
# Fetch today's featured Wikipedia article
wiki --featured
# Extract specific section from featured article
wiki --featured -s "Early life"
# Fetch featured article for specific date
wiki --featured --featured-date 2025-03-23
wiki --featured-date 2025-03-23 # --featured-date implies --featured
# Extract section from specific date's featured article
wiki --featured-date 2025-03-23 -s "Storyline"
# List sections of featured article
wiki --featured --ls
# Fetch a random Wikipedia article
wiki --random
# Save random article to file
wiki --random -o random_article.md
Most-Read & News
# Fetch yesterday's most-read Wikipedia articles
wiki --most-read
# Extract specific article from most-read list
wiki --most-read -s "Eiffel Tower"
# Fetch most-read articles for specific date
wiki --most-read --most-read-date 2026-03-23
wiki --most-read-date 2026-03-23 # --most-read-date implies --most-read
# List most-read articles (compact view)
wiki --most-read --ls
# Save most-read to file
wiki --most-read -o most_read.md
# Fetch today's "In the news" stories
wiki --news
wiki --news --raw
wiki --news -o news.md
wiki --news --ls
Version
wiki --version
Examples
# Get the Unix shell article
wiki "Unix shell"
# Search for shell-related articles
wiki --search "shell interpreters"
# Print raw text
wiki "Bash (Unix shell)" --raw
# List all sections
wiki --ls "Unix shell"
# Read the History section
wiki -s History "Unix shell"
Development
Quick Start
# Install in editable mode with dev dependencies
pip install -e .
pip install pytest pytest-httpx ruff
# Or use Make
make install-dev
Linting & Testing
make lint # ruff + shellcheck + prettier
make lint-python # ruff only
make test # pytest
Or run directly:
ruff check wiki_client/ tests/
python -m pytest tests/ -v
Available Make Targets
make help # Show all targets
make install # pip install -e .
make install-dev # Install dev dependencies
make lint # Run all linting checks
make lint-python # ruff
make lint-shell # shellcheck
make lint-markdown # prettier
make test # pytest
make format # prettier --write README.md
make clean # Remove build artifacts
How It Works
- Query resolution — Tries a direct Wikipedia REST API title lookup; falls back to a full-text search if the title returns 404.
- Rendering — Uses Rich to render the article extract as formatted Markdown
in the terminal. Pass
--rawfor plain-text output.
Version
1.0.0
License
MIT
Release files for wiki-client 1.8.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| wiki_client-1.8.3.tar.gz | 39.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| wiki_client-1.8.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:58.1 kB
Release files / wiki_client-1.8.3.tar.gz
| Download URL | wiki_client-1.8.3.tar.gz |
|---|---|
| Size | 39.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d533ea26ebab91830b0e6f20a5ebcb191d631a97ea34c35dc557b9d257d5c07d
|
|
BLAKE2b-256 checksum How to use checksums |
5cccddaf32dbb1a0043146ba182d8378f9d934aa72b1b9b5df531533d2bada20
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 14, 2026.
Transparency logRelease files / wiki_client-1.8.3-py3-none-any.whl
| Download URL | wiki_client-1.8.3-py3-none-any.whl |
|---|---|
| Size | 19.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b5ebf32a42f7bb9eb514a8fcf4a994bfc50cdad2d731ebd63cada8c0d5e7af2f
|
|
BLAKE2b-256 checksum How to use checksums |
9401c3f6bfae5b997e435c9531b4e5ccd19dc0fefc193eef1e02d3bd908dc489
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 14, 2026.
Transparency log