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Provides tools for interacting with Reddit, including authentication, content publishing (text, link, image posts), discovery (search, subreddit browsing, post details, user profiles), social interaction (comment, reply, upvote, downvote, save), and compound operations (subreddit analysis, trend tracking, engagement campaigns).

reddit-skills

Reddit automation Skills — directly uses your logged-in browser and real account, operating Reddit as an ordinary user.

Supports OpenClaw and all AI Agent platforms compatible with the SKILL.md format (e.g. Claude Code).

⚠️ Usage advice: Although this project uses your real browser and account, you should still control operation frequency and avoid mass actions in a short time. Aggressive automation may trigger Reddit's rate limits or account restrictions.

Features

Skill	Description	Core Capabilities
reddit-auth	Authentication	Login check, session management
reddit-publish	Content Publishing	Text / link / image post submission
reddit-explore	Discovery	Search, subreddit browsing, post details, user profiles
reddit-interact	Social Interaction	Comment, reply, upvote, downvote, save
reddit-content-ops	Compound Ops	Subreddit analysis, trend tracking, engagement campaigns

Supports chained operations — you can give compound natural-language instructions and the Agent will automatically chain multiple skills. For example:

"Search r/Python for the most upvoted posts about FastAPI this week, save the top one, and tell me what it's about"

The Agent will execute: search → filter by top/week → save → get detail → summarize.

Related MCP server: Reddit MCP Server

Installation

Prerequisites

Python >= 3.11
uv package manager
Google Chrome browser

Step 1: Install the project

Option A: Download ZIP (recommended)

Download from GitHub and extract to your Agent skills directory:

# OpenClaw
<openclaw-project>/skills/reddit-skills/

# Claude Code
<your-project>/.claude/skills/reddit-skills/

Option B: Git Clone

cd <your-agent-project>/skills/
git clone https://github.com/1146345502/reddit-skills.git

Then install Python dependencies:

cd reddit-skills
uv sync

Step 2: Install the browser extension

The extension lets the AI operate Reddit in your browser using your real login session.

Open Chrome, navigate to chrome://extensions/
Enable Developer mode (top right)
Click Load unpacked, select this project's extension/ directory
Confirm the Reddit Bridge extension is enabled

Once installed, you're ready to go — all actions happen in your own browser, using your real account.

Usage

As an AI Agent skill (recommended)

After installing to a skills directory, just talk to the Agent in natural language. It will route your intent to the right skill automatically.

Authentication:

"Check if I'm logged in to Reddit" / "Log out of Reddit"

Search & Browse:

"Search Reddit for posts about machine learning" / "Show me the top posts on r/Python"

Submit content:

"Submit a text post to r/learnpython with this title and body..."

Interact:

"Upvote this post" / "Comment on this post: Great write-up!" / "Save this post"

Compound operations:

"Analyze the top posts in r/startups this month and summarize the common themes"

As an MCP server

reddit-skills includes a built-in Model Context Protocol server, making it compatible with any MCP client (Claude Desktop, Cursor, etc.).

Start the server (stdio):

cd reddit-skills
python scripts/mcp_server.py

Configure in your MCP client (e.g. Claude Desktop claude_desktop_config.json):

{
  "mcpServers": {
    "reddit-skills": {
      "command": "python",
      "args": ["scripts/mcp_server.py"],
      "cwd": "/path/to/reddit-skills"
    }
  }
}

The server exposes 16 tools: check_login, logout, home_feed, subreddit_feed, search, get_post_detail, user_profile, subreddit_rules, post_comment, reply_comment, upvote, downvote, save_post, submit_text_post, submit_link_post, submit_image_post.

Environment variables:

Variable	Default	Description
`REDDIT_BRIDGE_URL`	`ws://localhost:9334`	WebSocket URL for the bridge server

As a CLI tool

All features can be called directly from the command line, with JSON output for scripting.

# Check login status
python scripts/cli.py check-login

# Browse a subreddit
python scripts/cli.py subreddit-feed --subreddit python --sort hot

# Search posts
python scripts/cli.py search --query "FastAPI tutorial" --sort top --time month

# Get post details and comments
python scripts/cli.py get-post-detail \
  --post-url "https://www.reddit.com/r/Python/comments/abc123/title/"

# Submit a text post
python scripts/cli.py submit-text \
  --subreddit learnpython \
  --title-file title.txt \
  --body-file body.txt

# Submit a link post
python scripts/cli.py submit-link \
  --subreddit programming \
  --title-file title.txt \
  --url "https://example.com/article"

# Submit an image post
python scripts/cli.py submit-image \
  --subreddit pics \
  --title-file title.txt \
  --images "/abs/path/image.jpg"

# Comment on a post
python scripts/cli.py post-comment \
  --post-url "https://www.reddit.com/r/Python/comments/abc123/title/" \
  --content "Thanks for sharing!"

# Upvote / Downvote / Save
python scripts/cli.py upvote --post-url "https://www.reddit.com/r/..."
python scripts/cli.py downvote --post-url "https://www.reddit.com/r/..."
python scripts/cli.py save-post --post-url "https://www.reddit.com/r/..."

# View user profile
python scripts/cli.py user-profile --username spez

On first run, if Chrome is not open, the CLI will auto-launch it.

CLI Command Reference

Subcommand	Description
`check-login`	Check login status, return username if logged in
`delete-cookies`	Log out (UI-based logout)
`home-feed`	Get home feed posts
`subreddit-feed`	Get posts from a subreddit (supports sort: hot/new/top/rising)
`search`	Search posts (supports sort and time filters)
`get-post-detail`	Get full post content and comments
`user-profile`	Get user profile and recent posts
`post-comment`	Comment on a post
`reply-comment`	Reply to a specific comment
`upvote`	Upvote a post
`downvote`	Downvote a post
`save-post`	Save / unsave a post
`submit-text`	Submit a text (self) post
`submit-link`	Submit a link post
`submit-image`	Submit an image post

Exit codes: 0 success · 1 not logged in · 2 error

Project Structure

reddit-skills/
├── extension/                  # Chrome Extension (MV3)
│   ├── manifest.json
│   └── background.js
├── scripts/                    # Python automation engine
│   ├── reddit/                 # Core automation library
│   │   ├── bridge.py           # Extension bridge client
│   │   ├── selectors.py        # CSS selectors (centralized)
│   │   ├── login.py            # Login check + logout
│   │   ├── feeds.py            # Home feed + subreddit feed
│   │   ├── search.py           # Search + filters
│   │   ├── post_detail.py      # Post detail + comment loading
│   │   ├── user_profile.py     # User profile
│   │   ├── comment.py          # Comment, reply
│   │   ├── vote.py             # Upvote, downvote, save
│   │   ├── publish.py          # Post submission
│   │   ├── types.py            # Data types
│   │   ├── errors.py           # Exception hierarchy
│   │   ├── urls.py             # URL constants
│   │   └── human.py            # Behavior simulation
│   ├── cli.py                  # Unified CLI entry point
│   ├── mcp_server.py           # MCP server wrapper (stdio/HTTP)
│   ├── bridge_server.py        # Local WebSocket bridge
│   └── image_downloader.py     # Image download with local cache
├── skills/                     # AI Agent skill definitions
│   ├── reddit-auth/SKILL.md
│   ├── reddit-publish/SKILL.md
│   ├── reddit-explore/SKILL.md
│   ├── reddit-interact/SKILL.md
│   └── reddit-content-ops/SKILL.md
├── SKILL.md                    # Skill router (routes to sub-skills)
├── CONTRIBUTING.md             # Contributor guide
├── Dockerfile                  # Container build for MCP deployment
├── pyproject.toml
└── README.md

Development

uv sync                    # Install dependencies
uv run ruff check .        # Lint
uv run ruff format .       # Format
uv run pytest              # Run tests

License

MIT

reddit-skills

reddit-skills

Features

Installation

Prerequisites

Step 1: Install the project

Step 2: Install the browser extension

Usage

As an AI Agent skill (recommended)

As an MCP server

As a CLI tool

CLI Command Reference

Project Structure

Development

License

Maintenance

Resources

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