SKILL.md
Implementing API Key Security Controls
When to Use
- Designing secure API key generation with sufficient entropy and identifiable prefixes for leak detection
- Implementing server-side API key hashing (never storing keys in plaintext) with SHA-256 or bcrypt
- Building key rotation workflows that allow zero-downtime key replacement for API consumers
- Configuring per-key scoping to limit each API key to specific endpoints, IP ranges, and rate limits
- Setting up automated monitoring for API key leakage in GitHub repos, logs, and client-side code
Do not use API keys as the sole authentication mechanism for user-facing applications. API keys are best suited for server-to-server communication and developer access.
Prerequisites
- Secure random number generator (os.urandom, secrets module) for key generation
- Database with proper encryption at rest for storing hashed API keys
- Redis or similar store for key-to-metadata caching and rate limiting
- Secret scanning tools (GitHub secret scanning, truffleHog, gitleaks)
- Monitoring and alerting infrastructure for key usage anomalies
Workflow
Step 1: Secure API Key Generation
import secrets
import hashlib
import hmac
import time
import json
from datetime import datetime, timedelta
class APIKeyManager:
"""Manages secure API key lifecycle: generation, storage, validation, rotation."""
# Key format: prefix_base64random (e.g., sk_live_a1b2c3d4e5f6...)
# Prefix identifies the key type and environment for leak detection
KEY_PREFIXES = {
"live_secret": "sk_live_",
"test_secret": "sk_test_",
"live_public": "pk_live_",
"test_public": "pk_test_",
}
def __init__(self, db_connection, redis_connection):
self.db = db_connection
self.redis = redis_connection
def generate_key(self, key_type="live_secret", owner_id=None, scopes=None,
rate_limit=None, ip_allowlist=None, expires_days=365):
"""Generate a new API key with metadata."""
prefix = self.KEY_PREFIXES.get(key_type, "sk_live_")
# Generate 32 bytes (256 bits) of randomness
random_bytes = secrets.token_bytes(32)
key_body = secrets.token_urlsafe(32) # Base64url-encoded
# Full API key that the client receives (shown only once)
full_key = f"{prefix}{key_body}"
# Hash the key for storage (never store the raw key)
key_hash = hashlib.sha256(full_key.encode()).hexdigest()
# Create a short key ID for reference (first 8 chars)
key_id = f"{prefix}{key_body[:8]}..."
# Store the hashed key with metadata
key_metadata = {
"key_hash": key_hash,
"key_id": key_id,
"key_type": key_type,
"owner_id": owner_id,
"scopes": scopes or ["read"],
"rate_limit": rate_limit or {"requests": 1000, "window": 3600},
"ip_allowlist": ip_allowlist or [],
"created_at": datetime.utcnow().isoformat(),
"expires_at": (datetime.utcnow() + timedelta(days=expires_days)).isoformat(),
"last_used": None,
"is_active": True,
"usage_count": 0,
}
# Store in database
self.db.execute(
"INSERT INTO api_keys (key_hash, key_id, metadata) VALUES (?, ?, ?)",
(key_hash, key_id, json.dumps(key_metadata))
)
# Cache in Redis for fast validation
self.redis.setex(
f"apikey:{key_hash}",
86400, # 24-hour cache TTL
json.dumps(key_metadata)
)
return {
"api_key": full_key, # Show to user ONCE
"key_id": key_id, # For reference/management
"scopes": key_metadata["scopes"],
"expires_at": key_metadata["expires_at"],
}
def validate_key(self, api_key):
"""Validate an API key and return its metadata."""
key_hash = hashlib.sha256(api_key.encode()).hexdigest()
# Check Redis cache first
cached = self.redis.get(f"apikey:{key_hash}")
if cached:
metadata = json.loads(cached)
else:
# Fall back to database
row = self.db.execute(
"SELECT metadata FROM api_keys WHERE key_hash = ?",
(key_hash,)
).fetchone()
if not row:
return None, "invalid_key"
metadata = json.loads(row[0])
# Refresh cache
self.redis.setex(f"apikey:{key_hash}", 86400, row[0])
# Validation checks
if not metadata.get("is_active"):
return None, "key_revoked"
if metadata.get("expires_at"):
if datetime.fromisoformat(metadata["expires_at"]) < datetime.utcnow():
return None, "key_expired"
# Update last used
metadata["last_used"] = datetime.utcnow().isoformat()
metadata["usage_count"] = metadata.get("usage_count", 0) + 1
self.redis.setex(f"apikey:{key_hash}", 86400, json.dumps(metadata))
return metadata, "valid"
def revoke_key(self, key_id):
"""Immediately revoke an API key."""
row = self.db.execute(
"SELECT key_hash, metadata FROM api_keys WHERE key_id = ?",
(key_id,)
).fetchone()
if row:
key_hash = row[0]
metadata = json.loads(row[1])
metadata["is_active"] = False
metadata["revoked_at"] = datetime.utcnow().isoformat()
self.db.execute(
"UPDATE api_keys SET metadata = ? WHERE key_id = ?",
(json.dumps(metadata), key_id)
)
# Invalidate cache immediately
self.redis.delete(f"apikey:{key_hash}")
return True
return False
def rotate_key(self, old_key_id, grace_period_hours=24):
"""Rotate an API key with a grace period where both old and new keys work."""
old_row = self.db.execute(
"SELECT key_hash, metadata FROM api_keys WHERE key_id = ?",
(old_key_id,)
).fetchone()
if not old_row:
return None, "key_not_found"
old_metadata = json.loads(old_row[1])
# Generate new key with same settings
new_key_data = self.generate_key(
key_type=old_metadata["key_type"],
owner_id=old_metadata["owner_id"],
scopes=old_metadata["scopes"],
rate_limit=old_metadata["rate_limit"],
ip_allowlist=old_metadata["ip_allowlist"],
)
# Schedule old key revocation after grace period
revoke_at = datetime.utcnow() + timedelta(hours=grace_period_hours)
old_metadata["scheduled_revocation"] = revoke_at.isoformat()
self.db.execute(
"UPDATE api_keys SET metadata = ? WHERE key_id = ?",
(json.dumps(old_metadata), old_key_id)
)
return {
"new_key": new_key_data,
"old_key_id": old_key_id,
"old_key_revokes_at": revoke_at.isoformat(),
"message": f"Old key will be revoked in {grace_period_hours} hours"
}, "success"
