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jwt-auth
Use when implementing JWT authentication in FastAPI or Python projects. Triggers for: token generation, verification middleware, current user extraction, access token creation, token decoding, or role-based auth. NOT for: OAuth2 provider setup, OpenID Connect, or non-Python backends.
231 stars
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/jwt-auth/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/awais68/jwt-auth/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/jwt-auth/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How jwt-auth Compares
| Feature / Agent | jwt-auth | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use when implementing JWT authentication in FastAPI or Python projects. Triggers for: token generation, verification middleware, current user extraction, access token creation, token decoding, or role-based auth. NOT for: OAuth2 provider setup, OpenID Connect, or non-Python backends.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# JWT Authentication Skill
Expert implementation of JWT token generation, verification, and user extraction for FastAPI and Python applications.
## Quick Reference
| Operation | Function | Location |
|-----------|----------|----------|
| Generate token | `create_access_token(data, expires_delta=None)` | `auth/jwt.py` |
| Verify token | `verify_token(token: str)` | `auth/dependencies.py` |
| Get current user | `get_current_user(token: str)` | `auth/dependencies.py` |
| User from payload | `User.from_payload(payload)` | `auth/dependencies.py` |
## Core Workflows
### 1. Generate Access Token
```python
from auth.jwt import create_access_token
# Basic token with subject
token = create_access_token(data={"sub": "user@example.com"})
# Token with custom expiry (minutes)
from datetime import timedelta
token = create_access_token(
data={"sub": "user@example.com", "roles": ["admin"]},
expires_delta=timedelta(minutes=15)
)
# Token with roles for RBAC
token = create_access_token(data={"sub": "user@corp.com", "roles": ["editor", "viewer"]})
```
**Claims structure:**
- `sub` (required): User identifier (email, ID, or username)
- `exp` (auto): Expiration time
- `roles` (optional): List of role strings for authorization
- Custom claims: Add any extra data as needed
### 2. Protect Endpoint with Dependency
```python
from fastapi import APIRouter, Depends
from auth.dependencies import get_current_user
router = APIRouter()
@router.get("/protected")
def protected_route(user = Depends(get_current_user)):
return {"message": f"Hello, {user.email}"}
```
### 3. Role-Based Access Control
```python
from auth.dependencies import get_current_user, RoleChecker
# Define role checker
admin_only = RoleChecker(allowed_roles=["admin"])
@router.delete("/admin-only")
def admin_endpoint(user = Depends(admin_only)):
return {"message": "Admin access granted"}
```
### 4. Extract User from JWT Payload
```python
from auth.dependencies import get_current_user
# User model automatically extracted from JWT claims
@router.get("/me")
def get_me(user = Depends(get_current_user)):
return {
"email": user.email,
"roles": user.roles,
"is_active": user.is_active
}
```
## Security Checklist
- [ ] **Short expiry + refresh**: Access tokens expire in 15-30 minutes; implement refresh token flow for long sessions
- [ ] **No sensitive data**: Never put passwords, PII, or secrets in JWT claims
- [ ] **Blacklist invalid**: Implement token blacklist for logout (see `revoked_tokens` set)
- [ ] **HS256 algorithm**: Use HMAC-SHA256; never use `algorithm="none"`
- [ ] **Verify expiration**: Always check `exp` claim; reject expired tokens
## Token Structure
```
Header:
{
"alg": "HS256",
"typ": "JWT"
}
Payload:
{
"sub": "user@example.com",
"roles": ["user", "editor"],
"exp": 1704067200,
"iat": 1704063600
}
Signature: HMAC-SHA256(secret, header.payload)
```
## User Model
```python
class User:
email: str
roles: List[str]
is_active: bool = True
@classmethod
def from_payload(cls, payload: dict) -> "User":
"""Extract User from decoded JWT payload."""
return cls(
email=payload.get("sub", ""),
roles=payload.get("roles", []),
is_active=payload.get("is_active", True)
)
```
## Integration with @auth-integration Frontend
The backend JWT implementation pairs with the frontend auth integration skill:
1. **Backend**: `auth/jwt.py` and `auth/dependencies.py`
2. **Frontend**: Use `auth-integration` skill for React/Next.js auth context
3. **Token flow**:
- Frontend stores token in memory/storage after login
- Frontend includes `Authorization: Bearer <token>` header
- Backend `HTTPBearer()` dependency validates and extracts user
- Failed verification returns 401 Unauthorized
## File Outputs
| File | Purpose |
|------|---------|
| `auth/jwt.py` | Token creation, encoding, secret config |
| `auth/dependencies.py` | FastAPI dependencies for verification and user extraction |
## Configuration
Set these environment variables:
- `JWT_SECRET_KEY`: Long random string (at least 32 chars)
- `JWT_ALGORITHM`: "HS256" (default)
- `JWT_EXPIRATION_MINUTES`: 15 (recommended)
## Quality Gates
Before marking complete:
- [ ] Tokens use HS256 algorithm
- [ ] Expiration set to 15-30 minutes
- [ ] No sensitive data in claims
- [ ] Blacklist mechanism implemented for logout
- [ ] Integration with `auth-integration` frontend skill documented