Browse the directory

Source-backed agent for reviewing typed Protobuf and gRPC API contract changes with Buf breaking-change evidence, lint results, buf.yaml policy, BSR schema checks, generated-code impact, consumer compatibility, and rollout decisions.

Source-backed Claude agent prompt for contributing to the official kubernetes/kubernetes repository using its AGENTS.md guidance for generated files, go.mod/go.work handling, staging source of truth, boilerplate, focused changes, tests, commit-message restrictions, make test, make verify, and make update workflows.

Source-backed rules for reviewing AI-generated endpoints and data-access code before merge for insecure direct object reference risk, covering per-request object-level authorization checks, scoped database lookups, identifier exposure, and consistent enforcement across read, write, and admin operations.

Source-backed rules for reviewing AI-generated code that deserializes data before merge for insecure deserialization risk, covering native serialization formats (pickle, PyYAML, Java Serializable) that can execute arbitrary code on untrusted input, safe data-interchange alternatives, and class allowlisting/integrity checks when native formats can't be avoided.

Source-backed rules for reviewing AI-generated code that binds request parameters to model/entity objects before merge for mass assignment risk, covering allowlist field binding, DTOs that exclude sensitive fields, and the framework-specific autobinding features that make this easy to introduce by default.

Source-backed rules for reviewing AI-generated redirect and forward logic before merge for open redirect risk, covering allowlist-based destination validation, relative-path/indexed-mapping alternatives to raw URLs, and the privilege-escalation and phishing impact of an unvalidated redirect target.

Source-backed rules for reviewing AI-generated code that builds or runs operating-system commands, shell invocations, or subprocesses before merge for command injection and argument injection risk, covering library alternatives to shelling out, array-form process APIs, allowlist input validation, and least-privilege execution.

Source-backed rules for reviewing AI-generated JavaScript/TypeScript code before merge for prototype pollution risk, covering unsafe recursive merge/clone/assign helpers on untrusted input, proto and constructor-prototype key handling, and safer alternatives like Map, Set, and Object.create(null).

Source-backed rules for reviewing AI-generated code that renders untrusted data into HTML, JavaScript, URLs, or CSS before merge for cross-site scripting risk, covering context-correct output encoding, dangerous DOM sinks, HTML sanitization, and Content-Security-Policy as defense in depth.

Source-backed rules for reviewing AI-generated request handlers and forms before merge for cross-site request forgery risk, covering state-changing method discipline, anti-CSRF token correctness, SameSite cookie posture, origin and referer checks, and safe handling of cookie-based sessions.

Source-backed rules for reviewing AI-generated file-handling code for path traversal before merge, covering canonical path validation, safe root confinement, upload filename sanitization, archive extraction limits, and privacy-safe test evidence.

Source-backed rules for reviewing AI-generated regular expressions before merge, covering catastrophic backtracking and ReDoS risk, input bounds, anchor and escaping correctness, validation versus parsing, safe engines, and privacy-safe test evidence.

Source-backed rules for reviewing AI-generated database access code for SQL injection before merge, covering parameterized queries, identifier handling, ORM safety, dynamic query construction, least-privilege access, and privacy-safe test evidence.

Source-backed rules for reviewing AI-generated code that makes server-side URL or network requests for server-side request forgery before merge, covering URL allow-lists, block-lists for internal networks, redirect handling, response isolation, and privacy-safe test evidence.

A source-backed review workflow for pull requests that include AI-generated code. Treat generated diffs as untrusted implementation work, verify behavior in CI, inspect security-sensitive paths first, and merge only after a reviewer-owned checklist passes.