Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/artofrawr/claude-control --skill reddit-api명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
Process multimedia files with FFmpeg (video/audio encoding, conversion, streaming, filtering, hardware acceleration) and ImageMagick (image manipulation, format conversion, batch processing, effects, composition). Use when converting media formats, encoding videos with specific codecs (H.264, H.265, VP9), resizing/cropping images, extracting audio from video, applying filters and effects, optimizing file sizes, creating streaming manifests (HLS/DASH), generating thumbnails, batch processing images, creating composite images, or implementing media processing pipelines. Supports 100+ formats, hardware acceleration (NVENC, QSV), and complex filtergraphs.
Stripe Checkout, subscriptions, webhooks, customer portal
When the user wants to write, rewrite, or improve marketing copy for any page — including homepage, landing pages, pricing pages, feature pages, about pages, or product pages. Also use when the user says "write copy for," "improve this copy," "rewrite this page," "marketing copy," "headline help," "CTA copy," "value proposition," "tagline," "subheadline," "hero section copy," "above the fold," "this copy is weak," "make this more compelling," or "help me describe my product." Use this whenever someone is working on website text that needs to persuade or convert. For email copy, see email-sequence. For popup copy, see popup-cro. For editing existing copy, see copy-editing.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | reddit-api |
| description | Reddit API with PRAW (Python) and Snoowrap (Node.js) |
| disable-model-invocation | false |
Load with: base.md + [language].md
For integrating Reddit data into applications - fetching posts, comments, subreddits, and user data.
Sources: Reddit API Docs | OAuth2 Wiki | PRAW Docs
script - For personal use / bots you controlweb app - For server-side apps with user authinstalled app - For mobile/desktop appshttp://localhost:8000/callback (for dev)client_id (under app name) and client_secret# .env
REDDIT_CLIENT_ID=your_client_id
REDDIT_CLIENT_SECRET=your_client_secret
REDDIT_USER_AGENT=YourApp/1.0 by YourUsername
REDDIT_USERNAME=your_username # For script apps only
REDDIT_PASSWORD=your_password # For script apps only
User-Agent Format: <platform>:<app_id>:<version> (by /u/<username>)
| Tier | Limit | Notes |
|---|---|---|
| OAuth authenticated | 100 QPM | Per OAuth client ID |
| Non-authenticated | Blocked | Must use OAuth |
User-Agent header to avoid blocksX-Ratelimit-* response headerspip install praw
# or
uv add praw
import praw
from pydantic_settings import BaseSettings
class RedditSettings(BaseSettings):
reddit_client_id: str
reddit_client_secret: str
reddit_user_agent: str
reddit_username: str
reddit_password: str
class Config:
env_file = ".env"
settings = RedditSettings()
reddit = praw.Reddit(
client_id=settings.reddit_client_id,
client_secret=settings.reddit_client_secret,
user_agent=settings.reddit_user_agent,
username=settings.reddit_username,
password=settings.reddit_password,
)
# Verify authentication
print(f"Logged in as: {reddit.user.me()}")
import praw
reddit = praw.Reddit(
client_id="your_client_id",
client_secret="your_client_secret",
user_agent="YourApp/1.0 by YourUsername",
)
# Read-only mode - can browse, can't post/vote
reddit.read_only = True
# Get subreddit posts
subreddit = reddit.subreddit("python")
# Hot posts
for post in subreddit.hot(limit=10):
print(f"{post.title} - {post.score} upvotes")
# New posts
for post in subreddit.new(limit=10):
print(post.title)
# Search posts
for post in subreddit.search("pydantic", limit=5):
print(post.title)
# Get specific post
submission = reddit.submission(id="abc123")
print(submission.title)
print(submission.selftext)
# Get comments
submission.comments.replace_more(limit=0) # Flatten comment tree
for comment in submission.comments.list():
print(f"{comment.author}: {comment.body[:100]}")
# Submit text post
subreddit = reddit.subreddit("test")
submission = subreddit.submit(
title="Test Post",
selftext="This is the body of my post."
)
# Submit link post
submission = subreddit.submit(
title="Check this out",
url="https://example.com"
)
# Vote
submission.upvote()
submission.downvote()
submission.clear_vote()
# Comment
submission.reply("Great post!")
# Reply to comment
comment = reddit.comment(id="xyz789")
comment.reply("I agree!")
# Stream new posts
for post in reddit.subreddit("python").stream.submissions():
print(f"New post: {post.title}")
# Process post...
# Stream new comments
for comment in reddit.subreddit("python").stream.comments():
print(f"New comment by {comment.author}: {comment.body[:50]}")
# Get user info
user = reddit.redditor("spez")
print(f"Karma: {user.link_karma + user.comment_karma}")
# User's posts
for post in user.submissions.new(limit=5):
print(post.title)
# User's comments
for comment in user.comments.new(limit=5):
print(comment.body[:100])
npm install snoowrap
# or
pnpm add snoowrap
import Snoowrap from "snoowrap";
const reddit = new Snoowrap({
userAgent: "YourApp/1.0 by YourUsername",
clientId: process.env.REDDIT_CLIENT_ID!,
clientSecret: process.env.REDDIT_CLIENT_SECRET!,
username: process.env.REDDIT_USERNAME!,
password: process.env.REDDIT_PASSWORD!,
});
// Configure rate limiting
reddit.config({
requestDelay: 1000, // 1 second between requests
continueAfterRatelimitError: true,
});
// Get hot posts from subreddit
const posts = await reddit.getSubreddit("typescript").getHot({ limit: 10 });
posts.forEach((post) => {
console.log(`${post.title} - ${post.score} upvotes`);
});
// Search posts
const results = await reddit.getSubreddit("programming").search({
query: "typescript",
sort: "relevance",
time: "month",
limit: 10,
});
// Get specific post
const submission = await reddit.getSubmission("abc123").fetch();
console.log(submission.title);
// Get comments
const comments = await submission.comments.fetchAll();
comments.forEach((comment) => {
console.log(`${comment.author.name}: `);
});
// Submit text post
const post = await reddit.getSubreddit("test").submitSelfpost({
title: "Test Post",
text: "This is the body.",
});
// Submit link
const linkPost = await reddit.getSubreddit("test").submitLink({
title: "Check this out",
url: "https://example.com",
});
// Vote and comment
await post.upvote();
await post.reply("Great post!");
import httpx
import base64
from pydantic import BaseModel
class RedditClient:
def __init__(self, client_id: str, client_secret: str, user_agent: str):
self.client_id = client_id
self.client_secret = client_secret
self.user_agent = user_agent
self.access_token: str | None = None
self.client = httpx.AsyncClient()
async def authenticate(self) -> None:
"""Get application-only OAuth token."""
auth = base64.b64encode(
f"{self.client_id}:{self.client_secret}".encode()
).decode()
response = await self.client.post(
"https://www.reddit.com/api/v1/access_token",
headers={
"Authorization": f"Basic {auth}",
"User-Agent": self.user_agent,
},
data={
"grant_type": "client_credentials",
},
)
response.raise_for_status()
self.access_token = response.json()["access_token"]
async def () -> []:
.access_token:
.authenticate()
response = .client.get(
,
headers={
: ,
: .user_agent,
},
params={: limit},
)
response.raise_for_status()
[post[] post response.json()[][]]
() -> :
.client.aclose()
():
client = RedditClient(
client_id=,
client_secret=,
user_agent=,
)
:
posts = client.get_posts(, limit=)
post posts:
()
:
client.close()
interface RedditPost {
title: string;
score: number;
url: string;
selftext: string;
author: string;
created_utc: number;
}
class RedditClient {
private accessToken: string | null = null;
constructor(
private clientId: string,
private clientSecret: string,
private userAgent: string
) {}
async authenticate(): Promise<void> {
const auth = Buffer.from(`${this.clientId}:${this.clientSecret}`).toString("base64");
const response = await fetch("https://www.reddit.com/api/v1/access_token", {
method: "POST",
headers: {
: ,
: .,
: ,
},
: ,
});
data = response.();
. = data.;
}
(: , sort = , limit = ): <[]> {
(!.) .();
response = (
,
{
: {
: ,
: .,
},
}
);
data = response.();
data...( child.);
}
}
For apps where users log in with their Reddit account:
from fastapi import FastAPI, Request
from fastapi.responses import RedirectResponse
import httpx
import secrets
app = FastAPI()
state_store: dict[str, bool] = {}
REDDIT_CLIENT_ID = "your_client_id"
REDDIT_CLIENT_SECRET = "your_client_secret"
REDIRECT_URI = "http://localhost:8000/callback"
@app.get("/login")
async def login():
state = secrets.token_urlsafe(16)
state_store[state] = True
auth_url = (
f"https://www.reddit.com/api/v1/authorize"
f"?client_id={REDDIT_CLIENT_ID}"
f"&response_type=code"
f"&state={state}"
f"&redirect_uri={REDIRECT_URI}"
f"&duration=permanent"
f"&scope=identity read submit vote"
)
return RedirectResponse(auth_url)
@app.get("/callback")
async def callback(code: str, state: str):
if state not in state_store:
return {"error": "Invalid state"}
del state_store[state]
# Exchange code for token
httpx.AsyncClient() client:
response = client.post(
,
auth=(REDDIT_CLIENT_ID, REDDIT_CLIENT_SECRET),
data={
: ,
: code,
: REDIRECT_URI,
},
headers={: },
)
tokens = response.json()
{: tokens[][:] + }
| Scope | Description |
|---|---|
identity | Access username and signup date |
read | Access posts and comments |
submit | Submit links and comments |
vote | Upvote/downvote content |
edit | Edit posts and comments |
history | Access voting history |
subscribe | Manage subreddit subscriptions |
mysubreddits | Access subscribed subreddits |
privatemessages | Access private messages |
save | Save/unsave content |
Full list: https://www.reddit.com/api/v1/scopes
project/
├── src/
│ ├── reddit/
│ │ ├── __init__.py
│ │ ├── client.py # Reddit client wrapper
│ │ ├── models.py # Pydantic models for posts/comments
│ │ └── scraper.py # Data collection logic
│ └── main.py
├── .env
└── pyproject.toml
from pydantic import BaseModel
from datetime import datetime
class RedditPost(BaseModel):
id: str
title: str
author: str
subreddit: str
score: int
upvote_ratio: float
url: str
selftext: str
created_utc: datetime
num_comments: int
is_self: bool
@classmethod
def from_praw(cls, submission) -> "RedditPost":
return cls(
id=submission.id,
title=submission.title,
author=str(submission.author),
subreddit=submission.subreddit.display_name,
score=submission.score,
upvote_ratio=submission.upvote_ratio,
url=submission.url,
selftext=submission.selftext,
created_utc=datetime.fromtimestamp(submission.created_utc),
num_comments=submission.num_comments,
is_self=submission.is_self,
)
class RedditComment(BaseModel):
id: str
author: str
body: str
score: int
created_utc: datetime
parent_id: str
is_submitter: bool
X-Ratelimit-* headersMoreComments - Use replace_more() in PRAW.stream for real-time data# PRAW installation
pip install praw
# Snoowrap installation
npm install snoowrap
# Test authentication
python -c "import praw; r = praw.Reddit(...); print(r.user.me())"
| Operation | Endpoint |
|---|---|
| Auth token | POST https://www.reddit.com/api/v1/access_token |
| API requests | https://oauth.reddit.com/... |
| Subreddit posts | GET /r/{subreddit}/{sort} |
| Submission | GET /comments/{id} |
| User info | GET /user/{username}/about |
| Submit post | POST /api/submit |
| Vote | POST /api/vote |