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Review technical claims and deliverables by checking evidence and testing alternative explanations. Confirm that references and API endpoints exist, then report verified, unverified, or contradicted claims alongside evidence and an overall review verdict.
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Test Android and iOS apps by capturing real app traffic and checking backend APIs. When traffic is blocked or cannot be replayed, use decompilation and runtime inspection to uncover endpoints, inspect secrets, or understand request signing.
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Inventory old and undocumented API versions, then compare their authentication, request limits, input validation, and exposed fields with current versions. Uses API specifications and archived records to identify overlooked endpoints with weaker security controls.
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Databricks Model Serving endpoint lifecycle and ops. Use when asked to: CRUD serving endpoints (CLI or MLflow Deployments client); configure traffic routing for A/B / canary deploys and zero-downtime version swaps; retrieve OpenAPI schemas; inspect logs, metrics, or permissions; manage legacy AI Gateway rate limits (not Unity Gateway); discover Foundation Model API endpoints at runtime; integrate endpoints into Databricks Apps; or stream from off-platform clients (Vercel AI SDK v6, standalone Node.js). NOT for: Unity Gateway CRUD and management (databricks-unity-gateway), training, MLflow autologging, UC registration, custom PyFunc/ResponsesAgent authoring (databricks-ml-training); Knowledge Assistants/Supervisor Agents (databricks-agent-bricks); MLflow evaluation (databricks-mlflow-evaluation).
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Debug 404 errors for API endpoints in microservice architectures where code exists but routing sends requests to wrong service. Use when: (1) API endpoint returns 404 despite code being deployed, (2) Multiple services share same hostname via HTTPRoute/Ingress, (3) Service logs show "Health server" but you expected API endpoints, (4) Monorepo deploys multiple images and endpoint might be in different service than expected. Covers: verifying which service handles which paths, HTTPRoute path precedence, testing endpoints directly from inside cluster, matching image tags across services.
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API endpoint design and testing for vehicle insurance data platform. Use when designing new API endpoints, testing existing ones, validating response formats, or debugging API issues. Covers 11 core endpoints including 3 new pie chart distribution endpoints, parameter validation, error handling, and integration patterns.
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Use when testing APIs and web frameworks for mass assignment vulnerabilities where user-controlled request body fields are bound directly to model attributes without a field allowlist. Trigger on: ORM update/create endpoints, REST APIs accepting JSON body, Rails strong parameters, Django model forms, Laravel fillable/guarded, Node.js Mongoose/Sequelize, PUT/PATCH requests, registration endpoints, profile update endpoints, GraphQL mutations. Detects privilege escalation via role/admin/isAdmin fields, plan upgrades via subscription fields, and horizontal access via ownerId/userId injection.
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Manages Agent Platform serving endpoints. Use when you need to create, list, describe, update, or delete serving endpoints for model deployment on Agent Platform. Also use when troubleshooting endpoint permission, quota, or resource busy errors. Don't use for deploying models to endpoints or for running model evaluations.
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Pure API reference for reddapi.dev - authentication, all endpoints (vector search, semantic search, trends, subreddit lookup), request parameters, response schemas, and error codes, with no research-workflow framing. Use when the user wants raw endpoint documentation, is debugging a reddapi.dev integration, needs exact request/response field names, or asks for 'reddapi API reference', 'reddapi.dev endpoints', or 'reddapi error codes'. For guided research workflows and query playbooks, see reddit-research. For B2B lead scoring, see reddit-leads.
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Generates CRUD REST API endpoints with request validation, TypeScript types, consistent response formats, error handling, and documentation. Includes route handlers, validation schemas (Zod/Joi), typed responses, and usage examples. Use when building "REST API", "CRUD endpoints", "API routes", or "backend endpoints".
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在实现前定义 API 和模块之间的输入输出，统一命名、错误格式与输入校验，并考虑现有调用方的兼容性及重试造成的重复处理。
通过代理调用fal.ai的AI模型来生成图像和视频，涵盖Flux、SDXL、ideogram等模型，为提出生成请求提供入口。
Register and manage webhook endpoints, which receive event notifications from OmniRoute. Choose events such as completed requests or exceeded quotas, test delivery, inspect delivery history, and manage retries when notifications need another attempt.
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Manage OmniRoute API keys by creating, listing, rotating, and revoking them. Set access permissions, allowed models, spending limits, and expiration dates for each key to control access to proxy and management endpoints.
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Generate API documentation from TypeScript and JavaScript source code. Extract JSDoc comments, fill gaps in public API descriptions, and produce OpenAPI 3.0 definitions, a standard format for describing HTTP endpoints.
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Review HTML forms and JavaScript requests to find data sent over unencrypted HTTP. Check submission URLs, pages with implicit form destinations, and server redirects, then update endpoints to use HTTPS.
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Design APIs and interfaces between parts of an application with clear input and output types, consistent errors, and predictable names. The guidance helps you extend existing interfaces while preserving compatibility for the code that uses them.
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Build REST API endpoints, the routes applications use to exchange data, with input validation, authentication, access checks, error handling, and documentation. Covers creating, reading, updating, and deleting records, plus pagination and consistent response formats.
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Trace server-side request forgery, where a server fetches a supplied URL, through internal services and metadata endpoints in a CTF sandbox. Document credential scope and distinguish successful token extraction from access actually accepted by another service.
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Set up Python APIs with FastAPI using organized project templates. Build routes, asynchronous database operations, authentication, and error handling, with examples for sharing dependencies and testing endpoints through a separate test database.
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Compare C# Web API source code with its TypeScript or JavaScript clients to find mismatched data fields, required inputs, and response handling. Receive an audit report showing client impact, severity, and confidence in each match.
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Use CloudFox to inspect AWS and Azure resources through read-only queries. Identify exposed endpoints, secrets, permissions, and role trust relationships, then organize findings into files for reviewing configuration weaknesses and potential paths to broader access.
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Turn API code into documentation covering endpoints, inputs, authentication, responses, and errors. Add request examples in multiple languages and usage guides to help developers understand and start using the API.
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Explore local or remote repositories with Repomix CLI to understand their structure, locate related code across files, and review file counts and estimated tokens, the units AI models use to process text.
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