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affaan-m/x-api

affaan-m

x-api

X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.

global
origin:ECC
New~1.7k
v1.2Saved Jul 14, 2026

X API

Drift-prone skill. X API endpoints, access tiers, quotas, and write permissions change frequently. Verify current developer docs and account access before quoting rate limits or implementing a posting/search flow.

Programmatic interaction with X (Twitter) for posting, reading, searching, and analytics.

When to Activate

  • User wants to post tweets or threads programmatically
  • Reading timeline, mentions, or user data from X
  • Searching X for content, trends, or conversations
  • Building X integrations or bots
  • Analytics and engagement tracking
  • User says "post to X", "tweet", "X API", or "Twitter API"

Authentication

OAuth 2.0 Bearer Token (App-Only)

Best for: read-heavy operations, search, public data.

# Environment setup
export X_BEARER_TOKEN="your-bearer-token"
import os
import requests

bearer = os.environ["X_BEARER_TOKEN"]
headers = {"Authorization": f"Bearer {bearer}"}

# Search recent tweets
resp = requests.get(
    "https://api.x.com/2/tweets/search/recent",
    headers=headers,
    params={"query": "claude code", "max_results": 10}
)
tweets = resp.json()

OAuth 1.0a (User Context)

Required for: posting tweets, managing account, DMs, and any write flow.

# Environment setup — source before use
export X_CONSUMER_KEY="your-consumer-key"
export X_CONSUMER_SECRET="your-consumer-secret"
export X_ACCESS_TOKEN="your-access-token"
export X_ACCESS_TOKEN_SECRET="your-access-token-secret"

Legacy aliases such as X_API_KEY, X_API_SECRET, and X_ACCESS_SECRET may exist in older setups. Prefer the X_CONSUMER_* and X_ACCESS_TOKEN_SECRET names when documenting or wiring new flows.

import os
from requests_oauthlib import OAuth1Session

oauth = OAuth1Session(
    os.environ["X_CONSUMER_KEY"],
    client_secret=os.environ["X_CONSUMER_SECRET"],
    resource_owner_key=os.environ["X_ACCESS_TOKEN"],
    resource_owner_secret=os.environ["X_ACCESS_TOKEN_SECRET"],
)

Core Operations

Post a Tweet

resp = oauth.post(
    "https://api.x.com/2/tweets",
    json={"text": "Hello from Claude Code"}
)
resp.raise_for_status()
tweet_id = resp.json()["data"]["id"]

Post a Thread

def post_thread(oauth, tweets: list[str]) -> list[str]:
    ids = []
    reply_to = None
    for text in tweets:
        payload = {"text": text}
        if reply_to:
            payload["reply"] = {"in_reply_to_tweet_id": reply_to}
        resp = oauth.post("https://api.x.com/2/tweets", json=payload)
        tweet_id = resp.json()["data"]["id"]
        ids.append(tweet_id)
        reply_to = tweet_id
    return ids

Read User Timeline

resp = requests.get(
    f"https://api.x.com/2/users/{user_id}/tweets",
    headers=headers,
    params={
        "max_results": 10,
        "tweet.fields": "created_at,public_metrics",
    }
)

Search Tweets

resp = requests.get(
    "https://api.x.com/2/tweets/search/recent",
    headers=headers,
    params={
        "query": "from:affaanmustafa -is:retweet",
        "max_results": 10,
        "tweet.fields": "public_metrics,created_at",
    }
)

Pull Recent Original Posts for Voice Modeling

resp = requests.get(
    "https://api.x.com/2/tweets/search/recent",
    headers=headers,
    params={
        "query": "from:affaanmustafa -is:retweet -is:reply",
        "max_results": 25,
        "tweet.fields": "created_at,public_metrics",
    }
)
voice_samples = resp.json()

Get User by Username

resp = requests.get(
    "https://api.x.com/2/users/by/username/affaanmustafa",
    headers=headers,
    params={"user.fields": "public_metrics,description,created_at"}
)

Upload Media and Post

# Media upload uses v1.1 endpoint

# Step 1: Upload media
media_resp = oauth.post(
    "https://upload.twitter.com/1.1/media/upload.json",
    files={"media": open("image.png", "rb")}
)
media_id = media_resp.json()["media_id_string"]

# Step 2: Post with media
resp = oauth.post(
    "https://api.x.com/2/tweets",
    json={"text": "Check this out", "media": {"media_ids": [media_id]}}
)

Rate Limits

X API rate limits vary by endpoint, auth method, and account tier, and they change over time. Always:

  • Check the current X developer docs before hardcoding assumptions
  • Read x-rate-limit-remaining and x-rate-limit-reset headers at runtime
  • Back off automatically instead of relying on static tables in code
import time

remaining = int(resp.headers.get("x-rate-limit-remaining", 0))
if remaining < 5:
    reset = int(resp.headers.get("x-rate-limit-reset", 0))
    wait = max(0, reset - int(time.time()))
    print(f"Rate limit approaching. Resets in {wait}s")

Error Handling

resp = oauth.post("https://api.x.com/2/tweets", json={"text": content})
if resp.status_code == 201:
    return resp.json()["data"]["id"]
elif resp.status_code == 429:
    reset = int(resp.headers["x-rate-limit-reset"])
    raise Exception(f"Rate limited. Resets at {reset}")
elif resp.status_code == 403:
    raise Exception(f"Forbidden: {resp.json().get('detail', 'check permissions')}")
else:
    raise Exception(f"X API error {resp.status_code}: {resp.text}")

Security

  • Never hardcode tokens. Use environment variables or .env files.
  • Never commit .env files. Add to .gitignore.
  • Rotate tokens if exposed. Regenerate at developer.x.com.
  • Use read-only tokens when write access is not needed.
  • Store OAuth secrets securely — not in source code or logs.

Integration with Content Engine

Use brand-voice plus content-engine to generate platform-native content, then post via X API:

  1. Pull recent original posts when voice matching matters
  2. Build or reuse a VOICE PROFILE
  3. Generate content with content-engine in X-native format
  4. Validate length and thread structure
  5. Return the draft for approval unless the user explicitly asked to post now
  6. Post via X API only after approval
  7. Track engagement via public_metrics
  • brand-voice — Build a reusable voice profile from real X and site/source material
  • content-engine — Generate platform-native content for X
  • crosspost — Distribute content across X, LinkedIn, and other platforms
  • connections-optimizer — Reorganize the X graph before drafting network-driven outreach
Files1
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Overall Score

78/100

Grade

B

Good

Safety

82

Quality

76

Clarity

80

Completeness

72

Summary

This skill teaches programmatic interaction with X (Twitter) API for posting tweets, reading timelines, searching, and analytics. It covers OAuth 1.0a and 2.0 authentication patterns, includes working code examples for common operations (post, thread, search, media upload), and documents rate-limiting and error-handling strategies. The skill references environment variables for credential management and recommends security best practices around token storage.

Static Analysis Findings

1 finding

Patterns detected by deterministic static analysis before AI scoring. Hover over any finding code for detailed information and remediation guidance.

Credential Exposure
SEC-020Direct .env File Access2x in 1 file

Direct .env file access

SKILL.md.env2x

Detected Capabilities

environment variable readhttp request to external APIfile read (media upload)oauth authenticationcredential management via .env

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

post to xtwitter apix threadstweet automationx searchvoice modelingmedia upload twitter

Risk Signals

INFO

Direct .env file access mentioned in security best practices

SKILL.md | Security section
INFO

.env referenced as credential storage mechanism

SKILL.md | Authentication section and Security section
INFO

Bearer token and OAuth credentials passed via environment variables

SKILL.md | Authentication section

Referenced Domains

External domains referenced in skill content, detected by static analysis.

api.x.comupload.twitter.com

Use Cases

  • Post tweets or threads to X programmatically
  • Search X for content and trends
  • Read user timelines and public metrics
  • Upload media and post with images or video
  • Implement X bots or social media integrations
  • Extract voice samples from recent posts for profile modeling
  • Track engagement metrics and rate limits in real time

Quality Notes

  • Clear activation triggers and use cases aligned to user intent
  • Well-structured authentication section distinguishing OAuth 2.0 and 1.0a flows with practical code
  • Helpful rate-limiting strategy with runtime header inspection rather than hardcoded limits
  • Good error handling patterns with specific status codes (201, 429, 403)
  • Security section explicitly documents token rotation, .gitignore practices, and read-only token preference
  • Drift warning at top acknowledges X API changes and encourages verification of current docs
  • Code examples are runnable and idiomatic (requests, requests_oauthlib)
  • Thread posting example demonstrates proper reply chaining
  • Integration guidance with related skills (brand-voice, content-engine) provides workflow context
  • Missing: explicit scope boundaries (what endpoints are/are not covered), rate limit thresholds for different auth methods, error recovery patterns for partial thread failures
Model: claude-haiku-4-5-20251001Analyzed: Jul 14, 2026

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Version History

v1.2

Content updated

2026-07-14

Latest
v1.1

Content updated

2026-04-20

v1.0

Seeded from github.com/affaan-m/everything-claude-code

2026-03-16

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