"""Validate token contract safety controls."""
from __future__ import annotations
from datetime import datetime, timezone
from typing import Any
TOOL_META: dict[str, Any] = {
"name": "token_contract_validator",
"description": "Flags risky token authority settings and liquidity constraints.",
"inputSchema": {
"type": "object",
"properties": {
"token": {"type": "object"},
},
"required": ["token"],
},
"outputSchema": {
"type": "object",
"properties": {
"status": {"type": "string"},
"data": {"type": "object"},
"timestamp": {"type": "string"},
},
},
}
def token_contract_validator(token: dict[str, Any], **_: Any) -> dict[str, Any]:
"""Return safety flags for a token contract."""
try:
flags = []
risk_score = 0.0
if token.get("mint_authority"):
risk_score += 3
flags.append("mint authority active")
if token.get("freeze_authority"):
risk_score += 2
flags.append("freeze authority active")
if int(token.get("holders", 0)) < 100:
risk_score += 1.5
flags.append("low holder count")
if float(token.get("liquidity_usd", 0.0)) < 10_000:
risk_score += 2.5
flags.append("low liquidity")
safe = risk_score < 3
data = {
"safe": safe,
"flags": flags,
"risk_score": round(risk_score, 2),
}
return {
"status": "success",
"data": data,
"timestamp": datetime.now(timezone.utc).isoformat(),
}
except Exception as exc:
_log_lesson("token_contract_validator", str(exc))
return {
"status": "error",
"data": {"error": str(exc)},
"timestamp": datetime.now(timezone.utc).isoformat(),
}
def _log_lesson(skill_name: str, error: str) -> None:
with open("logs/lessons.md", "a", encoding="utf-8") as handle:
handle.write(f"- [{datetime.now(timezone.utc).isoformat()}] {skill_name}: {error}\n")
