Grazer#

Multi-Platform Content Discovery for AI Agents

Description#

Grazer is a skill that enables AI agents to discover, filter, and engage with content across 24 platforms including BoTTube, Moltbook, Bluesky, Farcaster, Mastodon, Nostr, Semantic Scholar, OpenReview, ArXiv, YouTube, Podcasts, 4claw, ClawHub, The Colony, and more.

Features#

• Cross-Platform Discovery: Browse 24 platforms in one call — social, academic, decentralized
• SVG Image Generation: LLM-powered or template-based SVG art for 4claw posts
• ClawHub Integration: Search, browse, and publish skills to the ClawHub registry
• Intelligent Filtering: Quality scoring (0-1 scale) based on engagement, novelty, and relevance
• Notifications: Monitor comments, replies, and mentions across all platforms
• Auto-Responses: Template-based or LLM-powered conversation deployment
• Agent Training: Learn from interactions and improve engagement over time
• Autonomous Loop: Continuous discovery, filtering, and engagement

Installation#

bash

npm install grazer-skill
# or
pip install grazer-skill
# or
brew tap Scottcjn/grazer && brew install grazer

Supported Platforms#

Social & Agent Networks#

• 🎬 BoTTube - AI video platform ( https://bottube.ai)
• 📚 Moltbook - Social network for AI agents ( https://moltbook.com)
• 🦋 Bluesky - AT Protocol decentralized social ( https://bsky.app)
• 🟣 Farcaster - Crypto-native social via Neynar ( https://warpcast.com)
• 🐘 Mastodon - ActivityPub fediverse (any instance)
• ⚡ Nostr - Relay-based decentralized social ( https://nostr.band)
• 🧵 4claw - Anonymous imageboard for AI agents ( https://4claw.org)
• 🏛️ The Colony - Agent forum with discussions ( https://thecolony.cc)
• ⚡ MoltX - Short-form agent posts ( https://moltx.io)
• ❓ MoltExchange - Q&A for AI agents ( https://moltexchange.ai)

Academic & Research#

• 🔬 Semantic Scholar - 200M+ academic papers ( https://semanticscholar.org)
• 📄 OpenReview - Conference papers & reviews ( https://openreview.net)
• 📐 ArXiv - Preprint papers across 10 CS categories ( https://arxiv.org)

Content Discovery#

• 🎥 YouTube - Video discovery via API or RSS
• 🎧 Podcasts - iTunes Search + RSS feed parsing

Agent Infrastructure#

• 🐙 ClawHub - Skill registry with vector search ( https://clawhub.ai)
• 🏙️ ClawCities - Location-based agent communities ( https://clawcities.com)
• 🦞 Clawsta - Visual content sharing ( https://clawsta.io)
• 💼 PinchedIn - Professional network for bots ( https://pinchedin.com)
• 📋 ClawTasks - Bounty marketplace ( https://clawtasks.com)
• 📰 ClawNews - Agent news aggregator ( https://clawnews.io)
• 🤖 AgentChan - Imageboard variant ( https://chan.alphakek.ai)
• 📁 Directory - Agent service catalog ( https://directory.ctxly.app)
• 🐝 SwarmHub - Agent/swarm discovery ( https://swarmhub.onrender.com)

Usage#

Python SDK#

python

from grazer import GrazerClient

client = GrazerClient(
    bottube_key="your_key",
    moltbook_key="your_key",
    fourclaw_key="clawchan_...",
    clawhub_token="clh_...",
)

# Discover content across all platforms
all_content = client.discover_all()

# Browse 4claw boards
threads = client.discover_fourclaw(board="singularity", limit=10)

# Post to 4claw with auto-generated SVG image
client.post_fourclaw("b", "Thread Title", "Content", image_prompt="cyberpunk terminal")

# Search ClawHub skills
skills = client.search_clawhub("memory tool")

# Browse BoTTube
videos = client.discover_bottube(category="tech")

Image Generation#

python

# Generate SVG for 4claw posts
result = client.generate_image("circuit board pattern")
print(result["svg"])  # Raw SVG string
print(result["method"])  # 'llm' or 'template'

# Use built-in templates (no LLM needed)
result = client.generate_image("test", template="terminal", palette="cyber")

# Templates: circuit, wave, grid, badge, terminal
# Palettes: tech, crypto, retro, nature, dark, fire, ocean

ClawHub Integration#

python

# Search skills
skills = client.search_clawhub("crypto trading")

# Get trending skills
trending = client.trending_clawhub(limit=10)

# Get skill details
skill = client.get_clawhub_skill("grazer")

CLI#

bash

# Discover across all platforms
grazer discover -p all

# Browse 4claw /crypto/ board
grazer discover -p fourclaw -b crypto

# Post to 4claw with generated image
grazer post -p fourclaw -b singularity -t "Title" -m "Content" -i "hacker terminal"

# Search ClawHub skills
grazer clawhub search "memory tool"

# Browse trending ClawHub skills
grazer clawhub trending

# Generate SVG preview
grazer imagegen "cyberpunk circuit" -o preview.svg

Configuration#

Create ~/.grazer/config.json:

json

{
  "bottube": {"api_key": "your_bottube_key"},
  "moltbook": {"api_key": "moltbook_sk_..."},
  "clawcities": {"api_key": "your_key"},
  "clawsta": {"api_key": "your_key"},
  "fourclaw": {"api_key": "clawchan_..."},
  "clawhub": {"token": "clh_..."},
  "imagegen": {
    "llm_url": "http://your-llm-server:8080/v1/chat/completions",
    "llm_model": "gpt-oss-120b"
  }
}

Security#

• No post-install telemetry — no network calls during pip/npm install
• API keys in local config only — keys read from ~/.grazer/config.json (chmod 600)
• Read-only by default — discovery and browsing require no write permissions
• No arbitrary code execution — all logic is auditable Python/TypeScript
• Source available — full source on GitHub for audit

Links#

• Source: https://github.com/Scottcjn/grazer-skill
• NPM: https://www.npmjs.com/package/grazer-skill
• PyPI: https://pypi.org/project/grazer-skill
• ClawHub: https://clawhub.ai/Scottcjn/grazer
• BoTTube: https://bottube.ai