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api-security-best-practices

sickn33/agentic-awesome-skills

Implement secure API design patterns: authentication, authorization, input validation, rate limiting, and vulnerability protection.

What is api-security-best-practices?

A reference guide for building secure APIs with proper token verification, resource authorization, input validation, and abuse controls. Use when adding protected endpoints, reviewing access patterns, or investigating API security issues.

  • Authenticate callers using verified JWT tokens with fixed algorithms and required claims
  • Authorize resource access by applying owner/tenant predicates in database mutations
  • Validate and parse input once, rejecting partial parses, unsafe integers, and oversized requests
  • Implement rate limiting with atomic counters, distinguishing per-user quotas and per-IP abuse controls
  • Protect against common API vulnerabilities including SSRF, DNS rebinding, and check-then-write races
  • Handle refresh sessions atomically with revocation state and concurrent-reuse detection

How to install api-security-best-practices

npx skills add https://github.com/sickn33/agentic-awesome-skills --skill api-security-best-practices
Prerequisites
  • Existing identity provider or session middleware
  • Locked dependency versions for jsonwebtoken, Zod, or equivalent validation library
  • Database schema and caller/tenant model documentation
  • Test environment with synthetic identities for validation
Claude Code
Cursor
Windsurf
Cline

How to use api-security-best-practices

  1. 1.Record your routes, caller model, identity provider, token contract, and database schema
  2. 2.Implement token verification with fixed algorithm, issuer, audience, and required claims validation
  3. 3.Add authorization checks in database mutations using owner/tenant predicates to prevent race conditions
  4. 4.Replace permissive parsing with strict schema validation using a library like Zod
  5. 5.Configure rate limiting with atomic counter-plus-expiration, distinguishing per-user and per-IP quotas
  6. 6.Test cross-tenant access, concurrent refresh, revocation, and rate-limit edge cases before deployment

Use cases

Good for
  • Adding a new protected endpoint that requires caller authentication and resource ownership checks
  • Reviewing an existing API route for authorization bypasses or cross-tenant access vulnerabilities
  • Replacing permissive request parsing with strict schema validation and type checking
  • Investigating an API abuse path by implementing appropriate rate-limit controls
  • Migrating from implicit admin bypasses to explicit separate authorization policies
Who it's for
  • Backend engineers building REST or GraphQL APIs
  • Security reviewers auditing API access control
  • Teams implementing OAuth/JWT authentication flows
  • Developers securing multi-tenant applications

api-security-best-practices FAQ

Should I use caller-selected verification algorithms for JWT tokens?

No. Never accept a caller-selected algorithm; always require a fixed, server-owned algorithm like HS256 and verify the signature before reading any claims.

How do I prevent check-then-write race conditions in authorization?

Apply the owner/tenant predicate directly in the database mutation (e.g., deleteMany with userId and tenantId filters) rather than checking permissions separately, ensuring atomicity.

What is the difference between authentication and authorization?

Authentication identifies who the caller is (via token verification); authorization decides what operation they can perform on a specific resource and tenant.

Can I use an in-memory rate limiter for distributed systems?

No. In-memory limiters are per-process only. Use a shared store like Redis with atomic counter-plus-expiration to avoid permanent keys from crashes between INCR and EXPIRE.

Is sanitizing a string enough to make it safe in all contexts?

No. Sanitizing does not make a string safe in every JavaScript, URL, or HTML context. Use the destination's safe output API (e.g., textContent for DOM, parameterized queries for SQL).

Full instructions (SKILL.md)

Source of truth, from sickn33/agentic-awesome-skills.


name: api-security-best-practices description: "Implement secure API design patterns including authentication, authorization, input validation, rate limiting, and protection against common API vulnerabilities" risk: critical source: community date_added: "2026-02-27"

API Security Best Practices

Review the request boundary from caller identity through authorization, validated input, storage and observable response. Preserve the application's actual identity provider and data model rather than introducing a second authentication system.

When to Use

Use when adding a protected endpoint, reviewing object access, replacing permissive request parsing, or investigating an API abuse path. For a concrete defect, start with the failing route and its callers; do not deploy unrelated security infrastructure.

Inputs and prerequisites

Record the routes, caller/tenant model, identity provider, token contract, runtime and locked dependency versions, database schema, proxy topology and authorized test scope. Use synthetic identities in a test environment. Existing task authorization carries forward; production scans, account writes and message sends need their own authority. The Node examples below are integration sketches for Express, jsonwebtoken and Zod; application/database adapters are deliberately named rather than presented as a full runnable service. Confirm APIs against the installed versions before integrating.

1. Authenticate the exact token contract

Prefer the established provider/session middleware. When the service owns an HMAC JWT contract, require a strong server-owned key, a fixed algorithm, exact issuer and audience, and required runtime claims. Do not infer permissions from a decoded token before signature verification. Never accept a caller-selected verification algorithm.

const jwt = require('jsonwebtoken');

// Illustrative first-party access-token contract; not a third-party OAuth adapter.
const ACCESS_POLICY = {
  algorithms: ['HS256'], issuer: 'example-auth', audience: 'example-api'
};
function verifyAccessToken(token, signingKey) {
  const claims = jwt.verify(token, signingKey, ACCESS_POLICY);
  if (!claims || typeof claims !== 'object' ||
      typeof claims.sub !== 'string' || !claims.sub ||
      typeof claims.tenantId !== 'string' || !claims.tenantId ||
      !Number.isSafeInteger(claims.exp) || !Number.isSafeInteger(claims.iat) ||
      claims.exp <= claims.iat) {
    throw new Error('Invalid access claims');
  }
  return { subject: claims.sub, tenantId: claims.tenantId };
}
function readBearer(header) {
  if (typeof header !== 'string' || header.length > 8192) return null;
  const match = /^Bearer ([A-Za-z0-9_-]+\.[A-Za-z0-9_-]+\.[A-Za-z0-9_-]+)$/i.exec(header);
  return match ? match[1] : null;
}

Issue access tokens with the same issuer/audience/algorithm and a short application- approved expiration. Handle verification failure as a generic 401 without echoing the token or exception. Expiration alone does not revoke a token; define revocation or short-lived sessions according to the actual threat model. A service using asymmetric provider keys needs the provider's discovery/JWKS validation and key-rotation policy, not this HMAC example. Never reuse an access token as a refresh token.

Refresh sessions

Use the provider's supported session flow or a server-side opaque refresh design: store only a digest, expiry, user/session family and revocation state. In one atomic transaction consume the old active token and create the replacement. Concurrent reuse must not issue two successors; defined reuse handling revokes the affected family. Check current user status and permissions when issuing new access tokens. Bind refresh to the intended client/session and protect cookie-based requests against CSRF. Do not log tokens, store them plaintext in a database, or return a refresh token through a URL. Test simultaneous refresh, expiry, replay, revocation and transaction failure before calling the flow complete. No database transaction adapter is bundled here.

2. Authorize the resource and operation

Authentication identifies the caller; authorization decides the exact operation on an object and tenant. A role name does not automatically grant cross-tenant access. Apply the owner/tenant predicate in the database mutation to avoid a check-then-write race, and allowlist writable properties. Use 404/403 consistently with the product's resource-disclosure policy.

// Prisma-style sketch; id and tenant types must match your actual schema.
async function deleteOwnedPost(prisma, postId, principal) {
  const result = await prisma.post.deleteMany({
    where: { id: postId, userId: principal.subject, tenantId: principal.tenantId }
  });
  return result.count === 1;
}

An administrator path needs an explicit separate policy and audit event; do not add an implicit admin bypass to every owner check. Test a valid user accessing another user's object, the same ID in another tenant, deleted memberships and bulk endpoints.

3. Parse once, then use the validated value

Reject partial numeric parses (12abc is not ID 12), unsafe integers, unexpected properties and oversized requests. Use parameterized database queries. An ORM does not provide business authorization or make unsafe raw SQL safe.

function parsePositiveId(raw) {
  if (typeof raw !== 'string' || !/^[1-9][0-9]{0,15}$/.test(raw)) return null;
  const value = Number(raw);
  return Number.isSafeInteger(value) && value > 0 ? value : null;
}

const { z } = require('zod');
const profileUpdate = z.object({
  displayName: z.string().trim().min(1).max(100)
}).strict();
function validateBody(schema) {
  return (req, res, next) => {
    const parsed = schema.safeParse(req.body);
    if (!parsed.success) {
      return res.status(400).json({ error: 'Invalid request' });
    }
    req.validatedBody = parsed.data; // Defaults/transforms must reach the handler.
    next();
  };
}
// Handler uses req.validatedBody, never the original body or an arbitrary spread.

Set body limits before parsing. Zod shape validation is only one layer: check current ownership, allowed transitions and uniqueness in the transaction. For HTML allow only needed tags/attributes with a maintained sanitizer, then render with the destination's safe output API. For plain comments prefer plain text; sanitizing a string does not make it safe in every JavaScript, URL or HTML context. Validate upstream API responses as untrusted input too.

For outbound URLs, define the allowed scheme/hosts, redirect behavior, resolved IP ranges, credentials policy, timeout and response size. A regex or a URL parser alone does not prevent SSRF or DNS rebinding. File uploads likewise need type/content checks, size limits, isolated storage and authorization on reads.

4. Control abuse without claiming DDoS protection

Use the existing gateway and maintained rate-limit store. Authenticate before deriving an authenticated-user key, and never trust a user-supplied tier. For anonymous traffic, use the library's supported IPv6-aware IP key handling and configure Express trust proxy to the actual trusted hops; do not blindly enable it for all callers.

For a distributed quota, use an atomic counter-plus-expiration implementation with defined store-outage behavior. Avoid a handwritten INCR followed by EXPIRE: a crash between them can leave a permanent key. Distinguish per-user quotas, per-IP abuse controls, concurrency limits and upstream service budgets. Record actual window/reset semantics and send an accurate Retry-After rather than a hardcoded full-window value. An in-memory limiter is per-process unless a shared store is configured.

Test concurrent requests, IPv4/IPv6, forged forwarding headers, unknown tiers, absent identity, Redis failure and expiration. Application rate limits cannot absorb network saturation. Helmet configures HTTP response headers; it is not DDoS protection, access control or a substitute for upstream capacity controls. Roll out CSP/HSTS against the actual deployment and subdomain policy; do not copy preload settings blindly.

5. Passwords, secrets and logging

Use the established identity provider where possible. For stored passwords, use a maintained password-hashing scheme with calibrated parameters (prefer Argon2id for new designs). Check breached/common passwords and support passphrases. Do not impose arbitrary uppercase/symbol composition rules or silently truncate long passwords. Legacy bcrypt has an input-byte limit that must be accounted for explicitly during migration; password length in characters and UTF-8 bytes are different.

Keep secrets in the approved secret mechanism, check required configuration at startup without printing values, and rotate exposed credentials. Never include raw tokens, passwords, request bodies or complete database exceptions in routine logs. Log bounded event names, request correlation and safe status/error classes under an appropriate retention/access policy. Sanitized errors should not return mass-assigned user objects. CORS controls browser cross-origin access; it is not API authentication or CSRF protection.

Worked example: a profile update boundary

Given PATCH /users/:id with a string ID and an editable display name:

  1. Record the authorized caller/tenant and current endpoint behavior in fixtures.
  2. Check missing/expired/wrong-audience tokens return 401 before storage access.
  3. Send 12abc, an unsafe integer, an empty name and an extra role field; expect 400 and no database mutation. Send a padded valid name; confirm only the parsed trimmed value reaches the owner-and-tenant-scoped update.
  4. Try a different user's valid ID and a cross-tenant ID; expect the documented denial and no mutation. A valid owner request updates only the allowed property.
  5. Exercise quota/store failure and confirm logs contain no request token or name.

Return the route policy, reproduced failure cases, exact test command/output and remaining gaps. These are expected checks to execute in the target application, not claims that this repository has tested a deployed API.

Limitations

This guide is not a full identity service, certified security audit or penetration test. Snippets omit application adapters and integration error middleware. Unit tests of a parser do not verify database transactions, proxy behavior or provider sessions. Report any untested route, tenant path and failure mode explicitly. Do not infer a clean security posture from passing structural checks or from a risk metadata label.

References