security-review
Skill8 starsChanged 8 months agoMITView on GitHub
When the user needs a security assessment — threat modeling, vulnerability review, auth flow audit, dependency scanning, or says "is this secure", "review for vulnerabilities", "threat model", "security audit", "pen test prep".
192 other projects use a version of this.
Adopted by
Most recently taken up by
- metacircu1ar/hive_skillstheir own version, first seen Nov 15, 2026
- rschuft/ai-frontend-skill-packstheir own version, first seen Nov 15, 2026
- 81wallace18/codex-skillstheir own version, first seen Nov 15, 2026
- FimawLLC/fimaw-skillstheir own version, first seen Nov 15, 2026
- aws/credential-daemontheir own version, first seen Nov 15, 2026
- compozy/compozytheir own version, first seen Nov 13, 2026
Used with
Projects with it also use linkerd-patterns, dependency-cve-sweep and 10 more.
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Other versions192 projects use a version of this.
Word for word · 1
- shawnpang/startup-founder-skills★ 331100% same
Edited · 0
None found.
Wrote their own version · 191
- affaan-m/ECC★ 246ksame name
- github/awesome-copilot★ 41ksame name
- langfuse/langfuse★ 37ksame name
- nearai/ironclaw★ 13ksame name
- joe-bell/cva★ 6.9ksame name
- doorkeeper-gem/doorkeeper★ 5.5ksame name
- github/squad★ 3.4ksame name
- compozy/compozy★ 2.9ksame name
- trycompai/comp★ 2.1ksame name
- xu-xiang/everything-claude-code-zh★ 1.9ksame name
181 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository49 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 166 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 25
Follow a five-phase methodology.
- Distinctive: line 114
Never test production without explicit written authorization
- Distinctive: line 115
Never exploit beyond proof-of-concept demonstration
- Distinctive: line 116
Always sequence automated scanning before manual review
“Common” is measured: kept by at least 6 in 10 of the 166 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Security Review
When to Use
- The user wants a security audit of their application, infrastructure, or specific feature
- They need a threat model before launching or a penetration test preparation review
- They have a dependency vulnerability alert and need remediation guidance
- They are handling sensitive data (PII, payment, health) and need verification
- Code audit, secrets detection, or compliance assessment is requested
Context Required
From startup-context: tech stack, deployment environment, compliance requirements, data types. Also ask:
- Scope — Full app, feature, auth system, single PR, infrastructure, or cloud environment
- Data types — PII, payment, health, credentials, or other sensitive data handled
- Compliance requirements — SOC 2, HIPAA, PCI-DSS, GDPR, ISO 27001
- Authorization — Confirm written authorization exists before any active testing
Workflow
Follow a five-phase methodology. Automated scanning precedes manual review. Authorization verification is mandatory before active testing.
- Scope definition — Establish attack surface boundaries. Identify all components, data flows, and trust boundaries. Confirm authorization. Define in-scope and out-of-scope.
- Automated scanning — Execute tooling before manual review:
- SAST:
semgrep --config=autoacross the codebase - Dependency audit:
npm audit/pip-audit/govulncheck/trivy fs . - Secrets detection: Scan for hardcoded credentials, API keys, tokens in source
- Container scanning:
trivy imagefor containerized deployments - Record all automated findings for validation in the next phase.
- SAST:
- Manual code review — Conduct contextual analysis that automated tools miss:
- Authentication and authorization flow tracing end-to-end
- Business logic vulnerabilities (price manipulation, race conditions, privilege escalation)
- Data flow analysis for sensitive information (where does PII enter, transit, and persist?)
- STRIDE threat modeling against each component and data flow
- Validation and classification — Test findings and assign severity:
- Validate automated findings to eliminate false positives
- Assign CVSS v3.1 scores; assess exploitability in context
- Classify by business impact, not just technical severity
- Reporting — Document vulnerabilities with precise locations, business impact, and corrective actions. Deliver a prioritized remediation roadmap.
Output Format
# Security Review: [Scope Description]
## Executive Summary
Overall risk posture (Critical / High / Medium / Low), top findings count, and business impact summary.
## Threat Model (STRIDE)
| Threat | Category | Asset | Impact | Likelihood | Risk |
## Findings
### Critical / High / Medium / Low
- **[SEC-N] Title** — CVSS X.X — file:line — description, business impact, remediation with code example
## Auth Flow Assessment
End-to-end trace of authentication and authorization with findings.
## Dependency Vulnerabilities
| Package | Current Version | CVSS | Fix Version | Exploitable in Context? |
## Remediation Roadmap
Prioritized action list with timelines.Frameworks & Best Practices
STRIDE Threat Modeling
Apply to every component and data flow:
- Spoofing — Can attackers forge tokens or impersonate users? Are API keys rotatable?
- Tampering — Can requests be modified in transit? Are webhooks signed? Is data integrity verified?
- Repudiation — Are critical actions logged? Are logs tamper-evident?
- Information Disclosure — Stack traces in error responses? PII encrypted at rest and in transit?
- Denial of Service — Rate limits in place? Can one user exhaust resources for all?
- Elevation of Privilege — Can regular users access admin functions? Are role checks server-side?
OWASP Top 10 Checks
- Injection — Parameterize SQL/NoSQL; check OS commands, SSTI, LDAP
- Broken Auth — argon2id/bcrypt, session timeout, rate limiting on login
- Data Exposure — TLS 1.2+, PII encrypted at rest, HSTS headers
- XXE — Disable DTD processing, prefer JSON over XML
- Access Control — Server-side authz on every endpoint, no IDOR, CORS whitelist
- Misconfig — Debug mode off, default credentials removed, security headers present
- XSS — Output encoding, Content Security Policy, HTTP-only cookies
- Deserialization — Validate schema, prefer JSON, reject untrusted serialized objects
- Vulnerable Deps —
npm audit,pip-audit,trivy,govulncheck - Logging — Auth events, admin actions, access violations logged with alerts
CVSS v3.1 Scoring Guide
- Critical (9.0-10.0): RCE, auth bypass, full data breach, complete system compromise
- High (7.0-8.9): Privilege escalation, significant data exposure, SSRF to internal services
- Medium (4.0-6.9): Stored XSS, CSRF, limited IDOR, information disclosure
- Low (0.1-3.9): Missing security headers, minor info disclosure, verbose errors
Auth Flow Checklist
- Passwords: argon2id or bcrypt (cost >= 10)
- JWT: 15-min access tokens, 7-day refresh tokens rotated on use
- Rate limiting: 5 attempts / 15 min on auth endpoints
- Sessions invalidated on password change
- OAuth state parameter validated, scoped API keys
- MFA enforced for admin accounts
- Password reset tokens are single-use and time-limited
Scanning Tools
- SAST:
semgrep --config=auto(all stacks),bandit(Python),gosec(Go),eslint-plugin-security(Node) - Dependencies:
npm audit/pip-audit/govulncheck/trivy fs . - Containers:
trivy image
Mandatory Constraints
- Never test production without explicit written authorization
- Never exploit beyond proof-of-concept demonstration
- Always sequence automated scanning before manual review
Remediation Priority
- Actively exploitable + critical data — immediately
- Auth/authz bypass — 24 hours
- Injection — 48 hours
- Data exposure / critical CVEs — 1 week
- Config hardening — 2 weeks
- Defense-in-depth — next sprint
Related Skills
code-review— chain when findings require code-level fixes and reviewarchitecture-design— chain when findings reveal architectural security flawssoc2-prep— chain when review is part of compliance preparation
Examples
Example prompt: "Review the security of our user authentication system. We use JWT with Express."
Good output snippet:
# Security Review: JWT Authentication System
## Executive Summary
Risk posture: **Critical**. Hardcoded JWT secret and non-expiring tokens.
## Findings
### Critical (CVSS 9.8)
- **[SEC-1] Hardcoded JWT secret** — auth/config.js:3 — Secret is
"supersecret123". Attacker can forge any token.
**Fix:** Move to env var, generate with `openssl rand -base64 64`.
### Critical (CVSS 9.1)
- **[SEC-2] Tokens never expire** — auth/jwt.js:12 — No `expiresIn`.
**Fix:** Set `expiresIn: '15m'`, implement refresh token rotation.Does it work?
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