Activate this skill when:
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncode-review-securityExecute the skills CLI command in your project's root directory to begin installation:
Fetches code-review-security from hieutrtr/ai1-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate code-review-security. Access via /code-review-security in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Activate this skill when:
Output: Write findings to security-review.md with severity, file:line, description, and recommendations.
Do NOT use this skill for:
docker-best-practices)incident-response)pre-merge-checklist)python-backend-expert or react-frontend-expert)Review every PR against the OWASP Top 10 (2021 edition). Each category below includes specific checks for Python/FastAPI and React codebases.
What to look for:
Depends() for auth on new routesPython/FastAPI checks:
# BAD: No authorization check -- any authenticated user can access any user
@router.get("/users/{user_id}")
async def get_user(user_id: int, db: Session = Depends(get_db)):
return await user_repo.get(user_id)
# GOOD: Verify the requesting user owns the resource or is admin
@router.get("/users/{user_id}")
async def get_user(
user_id: int,
current_user: User = Depends(get_current_user),
db: Session = Depends(get_db),
):
if current_user.id != user_id and current_user.role != "admin":
raise HTTPException(status_code=403, detail="Forbidden")
return await user_repo.get(user_id)
Review checklist:
Depends(get_current_user))role == "admin"What to look for:
Python checks:
# BAD: Weak password hashing
import hashlib
password_hash = hashlib.md5(password.encode()).hexdigest()
# GOOD: Use bcrypt via passlib
from passlib.context import CryptContext
pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
password_hash = pwd_context.hash(password)
# BAD: Secret in code
SECRET_KEY = "my-super-secret-key-123"
# GOOD: Secret from environment
SECRET_KEY = os.environ["SECRET_KEY"]
Review checklist:
.env.example has placeholders only)What to look for:
eval(), exec(), compile() with user inputsubprocess calls with shell=TruePython checks:
# BAD: SQL injection via string formatting
query = f"SELECT * FROM users WHERE email = '{email}'"
db.execute(text(query))
# GOOD: Parameterized query
db.execute(text("SELECT * FROM users WHERE email = :email"), {"email": email})
# GOOD: SQLAlchemy ORM (always parameterized)
user = db.query(User).filter(User.email == email).first()
# BAD: Command injection
subprocess.run(f"convert {filename}", shell=True)
# GOOD: Pass arguments as a list
subprocess.run(["convert", filename], shell=False)
# BAD: Code execution with user input
result = eval(user_input)
# GOOD: Never eval user input. Use ast.literal_eval for safe parsing.
result = ast.literal_eval(user_input) # Only for literal structures
Review checklist:
eval(), exec(), or compile() with external inputsubprocess.run(..., shell=True) with dynamic argumentspickle.loads() on untrusted dataWhat to look for:
Review checklist:
What to look for:
* originsPython/FastAPI checks:
# BAD: Wide-open CORS
app.add_middleware(CORSMiddleware, allow_origins=["*"])
# GOOD: Explicit allowed origins
app.add_middleware(
CORSMiddleware,
allow_origins=["https://app.example.com"],
allow_methods=["GET", "POST", "PUT", "DELETE"],
allow_headers=["Authorization", "Content-Type"],
)
# BAD: Debug mode in production
app = FastAPI(debug=True)
# GOOD: Debug only in development
app = FastAPI(debug=settings.DEBUG) # DEBUG=False in production
Review checklist:
Review checklist:
pip-audit or safety check)npm audit)What to look for:
Python checks:
# BAD: JWT without expiration
token = jwt.encode({"sub": user_id}, SECRET_KEY, algorithm="HS256")
# GOOD: JWT with expiration
token = jwt.encode(
{"sub": user_id, "exp": datetime.utcnow() + timedelta(minutes=30)},
SECRET_KEY,
algorithm="HS256",
)
Review checklist:
exp claim)Review checklist:
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
shadcn/improve
asyrafhussin/agent-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
Keeps context tight: code-review-security is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for code-review-security matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend code-review-security for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
code-review-security has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: code-review-security is focused, and the summary matches what you get after install.
Useful defaults in code-review-security — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
code-review-security is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in code-review-security — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: code-review-security is the kind of skill you can hand to a new teammate without a long onboarding doc.
code-review-security reduced setup friction for our internal harness; good balance of opinion and flexibility.
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