'inputs' 검색 결과

Turn JSON specifications into React interfaces using a catalog of available components. This skill helps connect component implementations, shared data, form inputs, conditional display, and user actions to render interactive screens, including AI-generated designs.

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• Render AI-generated JSON as a React interface
• Define a catalog of reusable UI components
• Connect form inputs to shared data

Build native mobile interfaces from JSON specifications with @json-render/react-native. Use standard or custom components, connect form inputs to application state, and update visible content in response to taps and other interactions.

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• Building mobile screens from JSON specifications
• Connecting form inputs to application state
• Switching tab content in response to taps

Test and debug REST and GraphQL APIs using curl, httpie, Postman collections, or scripted tests. Check authentication, invalid inputs, pagination, and response details to identify failures that a successful status code alone may miss.

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• Checking authentication and access permissions
• Testing invalid inputs and boundary conditions
• Debugging failed HTTP requests

Carry out Docupost tasks through Rube MCP, an agent connection to external tools. Discover supported actions, check their required inputs and the service connection, then execute operations according to the specifications returned by tool search.

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• Find supported Docupost actions and their inputs
• Check whether the Docupost connection is active
• Run a task using the discovered tool specifications

Automate Discordbot operations through Composio and Rube MCP, a connection for agent tools. Discover supported actions and their required inputs, verify the account connection, and execute tasks according to the tool definitions found.

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• Discover supported Discordbot actions and inputs
• Verify the Discordbot connection before execution
• Build workflows for repeated Discordbot operations

Automate Documint operations using Composio through Rube MCP, a connection for agent tools. Find available actions and required inputs, confirm an active account connection, and run requests using the tool definitions returned by search.

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• Find available Documint actions and required inputs
• Check Documint connectivity before running a task
• Set up repeated or bulk Documint operations

Automate Convertapi tasks through Rube MCP, a connection for agent tools. The skill searches Composio’s available operations, checks connection status and required inputs, and executes the selected tools, with guidance for bulk operations and paginated results.

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• Find available Convertapi operations
• Confirm the connection and required inputs
• Run supported operations in bulk

Automate Bouncer tasks through Rube MCP, a connection for accessing external tools. The skill guides an agent through finding available operations, checking the service connection, and executing tools with the required inputs.

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• Discovering available Bouncer operations
• Checking the Bouncer connection before execution
• Running a workflow with the required tool inputs

Automate Bestbuy operations through Rube MCP, a connection to external tools. The skill discovers supported actions and their required inputs, verifies the connection, and runs operations using the specifications returned by the search.

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• Finding supported Bestbuy operations
• Checking required inputs before execution
• Running Bestbuy operations in bulk

Automate Anonyflow operations through Rube MCP, a connection for agent tools. The skill guides agents through finding available tools, checking authentication status, and executing operations with the required inputs.

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• Finding available Anonyflow tools and required inputs
• Checking authentication before running operations
• Fetching all pages of a result

Automate Alpha Vantage operations through Rube MCP and Composio. Discover tools for a specific task, inspect their required inputs, verify an active connection, and execute the workflow using the current tool definitions.

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• Finding tools for an Alpha Vantage task
• Checking required inputs before execution
• Running a workflow with an active connection

Choose a frontend library for tasks such as notifications, charts, drag and drop, or shared application state. The skill checks existing dependencies and recommends one library from a curated list, with setup when requested.

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• Choose a library for notifications or verification code inputs
• Select a chart library for live data or dashboards
• Find tools for drag and drop or long lists

Prepare large text collections for AI models with fast tokenizers, which split text into model inputs. Train custom vocabularies, trace tokens to original text positions, adjust input lengths, and integrate the results with transformers.

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• Tokenizing large text collections
• Training a custom vocabulary
• Mapping extracted names or answers back to original text

Build MCP servers and clients that connect AI systems to external tools and data. The skill defines validated inputs, implements tool and resource handlers, configures communication methods, and checks protocol behavior with the MCP Inspector.

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• Expose external tools and data to AI systems through MCP
• Start an MCP project in TypeScript or Python
• Validate inputs and investigate protocol errors

Create interactive web demos and chat interfaces in Python with Gradio. Connect functions to text, image, audio, and file controls, arrange screen layouts, and define what happens when users click buttons or change inputs.

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• Turning a Python function into an interactive demo
• Building a chatbot interface
• Adding image and audio inputs and outputs

Review an AI tool deployment with six checks covering prompt protection, dangerous commands, malicious inputs, sensitive data transfers, Chinese compliance requirements, and audit records. The result summarizes protection status, risks, and proposed hardening actions.

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• Check whether system prompts can leak through logs or outputs
• Review blocking rules for dangerous commands and malicious inputs
• Identify sensitive data sent to overseas model endpoints

Create dictionaries of keywords and identifying byte sequences for fuzzing, or testing with generated inputs. Extract useful entries from code, binaries, or specifications, then configure fuzzers to explore parsing paths beyond initial input validation.

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• Build a dictionary for JSON or XML parser fuzzing
• Add protocol keywords to generated test inputs
• Test image parsers with file signatures and chunk names

Generates cryptographic test vectors, inputs with expected outcomes, by deliberately changing implementation code and finding changes existing tests miss. Verifies new vectors across independent implementations and compares detection rates before and after adding them.

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• Finding coverage gaps in cryptographic test vectors
• Creating invalid inputs that exercise validation checks
• Building test vectors shared across independent implementations

Sets up AFL++ to test C/C++ programs with varied generated inputs, a technique called fuzzing. Covers running tests across CPU cores, monitoring progress, reducing input collections, and reproducing crashes for investigation.

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• Running C/C++ fuzzing across multiple CPU cores
• Exploring further after libFuzzer progress stalls
• Monitoring fuzzing progress and stability

Set up libFuzzer to test C/C++ code with varied inputs guided by which code paths run. Build test harnesses, manage sample inputs and dictionaries, enable error detectors, and reproduce crashes or investigate stalled coverage.

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• Starting fuzz testing for a C/C++ library
• Writing or debugging an LLVMFuzzerTestOneInput harness
• Investigating runs that find no crashes or new code paths

Writes, reviews, and debugs property-based tests, which generate inputs to check general rules. Helps test conversions, parsers, normalization, and state invariants, assess whether existing assertions are meaningful, and distinguish faulty rules from implementation bugs.

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• Testing encode/decode round trips across generated inputs
• Checking normalization and sorting properties
• Reviewing whether existing property tests assert meaningful rules

Plan and run fuzz testing, which feeds varied inputs to software to uncover bugs. The skill guides tool selection, test harness creation, input collection, coverage measurement, and crash triage for parsers, protocols, kernels, and other targets.

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• Planning fuzz tests for a file parser
• Preparing test harnesses and seed inputs
• Investigating stalled test coverage

Assess web applications and APIs for SQL injection, where input changes database queries. The skill covers finding vulnerable inputs, testing different database systems, automating checks, and documenting findings with remediation suggestions.

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• Assessing web application inputs for SQL injection
• Reviewing GraphQL and WebSocket injection risks
• Combining SQLmap automation with manual verification

Assess security weaknesses in CI/CD systems that automate software builds and delivery. Covering GitHub Actions, Jenkins, GitLab CI, and Azure DevOps, the skill examines unsafe inputs, excessive permissions, exposed credentials, and tampered build outputs, alongside detection and defensive controls.

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• Reviewing workflow inputs and execution triggers
• Assessing pipeline permissions and credential exposure
• Checking build artifact handoffs for tampering risks