🧪 Classified Agent — Synthesis Hackathon CLI

Build + submit AI agents for Synthesis Hackathon ($75K prizes) in 60 seconds.

100% offline core. PyVax-powered Web3 scaffolding. Resilient state machine with automatic resume.

⚡ Quickstart (60 seconds to submission)

pip install classified-agent

classified-agent init
# → Creates classified.toml, agent.yaml, SKILL.md, workspace/, logs/, examples/

# Edit classified.toml (set API keys)
export ANTHROPIC_API_KEY='sk-ant-...'

classified-agent doctor
# → Verifies environment readiness (10 checks)

classified-agent run
# 🚀 Agent running!

🏗️ Architecture

classified_agent/
├── cli/             # Typer CLI: init, doctor, run, join-synthesis
├── config/          # Pydantic v2 models + TOML loader
├── core/            # Agent runtime (LLM, loop, context, memory)
├── tools/           # 14 built-in tools (fs, http, git, web3)
├── wallet/          # On-chain backends (PyVax local, mock, managed)
├── adapters/        # Synthesis.md hackathon integration
├── logging/         # Rich console + JSONL structured logs
├── templates/       # Scaffold assets for init (skills, examples, prompts)
├── examples/        # Example classified.toml configurations
└── tests/           # pytest test suite

🎯 CLI Commands

🔧 Configuration (classified.toml)

[agent]
name = "my-agent"
max_steps = 50
workspace_dir = "./workspace"

[llm]
provider = "anthropic"        # "anthropic" | "openai"
model = "claude-sonnet-4-20250514"
api_key_env = "ANTHROPIC_API_KEY"

[wallet]
backend = "pyvax_local"       # "pyvax_local" | "mock"
default_chain = "avalanche_fuji"

[wallet.policy]
max_native_per_tx = "0.1"     # AVAX per transaction
max_native_per_day = "1.0"    # daily spend cap

[synthesis]
enabled = false
track = "open"                # open | uniswap | base | lido

🛠️ Built-in Tools (14 + 3 Synthesis)

🔒 Safety & Resilience

• Wallet Policy: Per-tx and daily spend caps, contract/method allowlists
• Sandboxed FS: All file ops confined to workspace directory
• HTTP Allowlist: Only whitelisted domains (synthesis.md, pyvax.xyz, GitHub, Avalanche)
• Dry-Run Mode: --dry-run flag simulates all state-changing operations
• API Resilience: Exponential backoff + retry for rate limits
• State Checkpoints: Resume from exact failure point

🏆 Synthesis Hackathon Workflow

1. pip install classified-agent==1.2.1
2. classified-agent init
3. Set API keys in .env or export them
4. classified-agent doctor
5. classified-agent run  (or  join-synthesis --enable)
6. Agent reads SKILL.md → plans → acts → observes → done

📖 Skill Files

Project Classified bundles a SKILL.md that teaches agents how to operate:

• Agent identity and capabilities
• How to read classified.toml
• How to use the wallet safely
• Available tools and usage rules
• How to log actions
• How to execute missions

Copied to your project root during init. Edit to customise agent behaviour.

📦 Development

git clone https://github.com/ShahiTechnovation/classified-agent
cd classified-agent
pip install -e ".[dev]"
pytest classified_agent/tests/ -v

🔗 Links

• Website: pyvax.xyz
• Hackathon: synthesis.md
• GitHub: ShahiTechnovation/classified-agent

License

MIT — see LICENSE