“credentials”的搜索结果

Start NanoClaw’s initial setup by directing the user to its terminal script. The script handles dependencies, the container image, credentials, the service, the first agent, and optional channel connections, with Claude-assisted recovery if an error interrupts setup.

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• Install NanoClaw for the first time
• Set up credentials, the service, and the first agent
• Connect an optional channel during initial setup

Install or refresh OneCLI as NanoClaw’s gateway for credentials and approval events. The skill restores integration files and agent guidance, configures a local or remote gateway, and validates the setup using a pinned SDK and tests.

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• Adding OneCLI during NanoClaw setup
• Migrating an existing OneCLI integration
• Restoring integration files and agent guidance

Identify security threats across system components and data flows, score their risks, and prioritize mitigations. Run a quick scan for exposed credentials and route requests beyond threat modeling to the appropriate specialist skills.

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• Reviewing threats in a new system design
• Prioritizing risks and assigning mitigation owners
• Scanning code for exposed credentials

Inspect and remove invisible characters from text and AI provenance metadata, information about content origin, from images and documents. It also supports prose rewriting and reports what changed, with limits on verifying watermark removal.

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• Removing invisible characters from owned text
• Cleaning AI provenance metadata from images and documents
• Rephrasing prose while preserving facts and meaning

Prepares an OpenWork Cloud/Den demo on Daytona with Acme Robotics sample data. It checks service health and sign-in, keeps the sandbox active, and returns URLs and credentials ready to share with demo participants.

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• Preparing a cloud demo with sample organization data
• Checking demo health endpoints and account sign-in
• Keeping a demo active and organizing access details

Test CodexBar against real provider services, check application settings, and verify menu contents. Use command-line checks and visual evidence to distinguish authentication problems, API mismatches, and display issues before a release.

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• Checking provider connections before a release
• Investigating missing usage data or authentication failures
• Comparing menu contents with enabled providers

Prepare a local development environment for the Data Manager API with authentication and library installation guidance. It covers five programming languages and companion utilities for formatting, hashing, and encrypting user identifiers before ingestion.

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• Preparing a local environment for the Data Manager API
• Installing client and identifier utility libraries
• Configuring local credentials and access scopes

Set up the official Google Ads MCP Server, a connector that lets AI assistants retrieve campaign data and reporting metrics through natural language. The guide covers installation, credentials, client configuration, and connection checks.

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• Connecting Claude Code or Cursor to Google Ads
• Configuring API credentials and environment variables
• Testing campaign queries in natural language

Find and call external service actions through Kortix connectors, choosing the appropriate connected account. Use the CLI for agent tasks or the TypeScript SDK for reusable workflows, with third-party credentials handled by the gateway.

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• Finding available external service actions
• Choosing among connected accounts
• Adding a service connection

Verify changes to the copilot-kit-ag-ui demo by building and running its server. Check API routing, cross-origin access settings, and build configuration, then use real credentials to confirm that a requested chart appears.

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• Checking server routing after changes
• Testing API wiring without real Anthropic credentials
• Checking which website origins can access the server

Guides developers in handling API failures consistently from backend responses to frontend messages. It covers ordinary and streaming requests, translated error codes, retry and authentication handling, request identifiers, and removing credentials from server logs.

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• Adding an API endpoint with consistent error responses
• Displaying errors during streaming responses
• Adding error codes and translated messages

Create and run KubeSphere DevOps pipelines connected to Jenkins to automate builds and tests. Covers branch-specific workflows, required input parameters, private repository credentials, execution monitoring, logs, and downloading build output files.

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• Create a pipeline that builds and tests a Go application
• Run builds for individual repository branches
• Configure credentials for a private repository

Review source code, dependencies, and infrastructure settings for security issues. Find exposed credentials, unsafe input handling, and access control gaps, then organize findings into a report with severity levels, affected locations, and recommended fixes.

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• Review code security before deployment
• Find API keys and passwords embedded in files
• Check dependencies for known vulnerabilities

Review code and infrastructure for vulnerabilities, insecure dependencies, and exposed credentials. Combine automated scans with manual review to produce audit reports that identify affected locations, rate severity, and prioritize practical fixes.

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• Reviewing code for security vulnerabilities
• Checking dependencies and exposed credentials
• Auditing cloud and infrastructure security

Check the AWS profile, region, account ID, and caller identity before starting AWS work. Read local configuration and validate credentials, then flag missing settings, expired access, or possible IAM restrictions associated with SSO authentication.

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• Check the AWS account and region before deployment
• Identify the active profile when none was specified
• Detect expired credentials or missing configuration

Helps investigate and modify Apache Beam's automated build and test workflows in GitHub Actions. Explains workflow types, failure logs, targeted reruns, local reproduction, and the cloud credentials needed for workflows that access GCP.

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• Investigating failed checks on a pull request
• Rerunning a specific test workflow
• Reproducing CI test commands locally

Manage Git user settings and authentication for a specific workspace. Set configuration values, register HTTPS access tokens, and import SSH keys, with options to list or remove credentials without exposing stored tokens or private keys in listings.

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• Setting Git user information for a workspace
• Registering an HTTPS access token
• Importing an SSH key for Git authentication

Assess AWS, Azure, and GCP environments by identifying identities, permissions, and paths to broader access or data exposure. Covers cloud storage, secrets, cross-account trust, and CI/CD, the automated systems used to build and deploy software.

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• Planning an AWS, Azure, or GCP security assessment
• Tracing privilege escalation from current permissions
• Reviewing CI/CD credentials and OIDC trust settings

Diagnose failed OpenAI API requests by separating network problems, authentication errors, exhausted credits, rate limits, and access restrictions. Use concrete error messages to explain the likely cause and direct users to the appropriate next action.

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• Separate network failures from API error responses
• Identify missing or invalid API credentials
• Distinguish exhausted credits from rate limits

Deploy an application or website to Vercel and receive its deployment link. Create a preview by default, request production explicitly, or use the included fallback script when the command line tool has no saved credentials.

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• Creating a preview link for a website
• Deploying a project from a specified folder
• Deploying without saved CLI credentials

Tests whether an AI agent exposes real credentials embedded in accessible source code or configuration. It requests searches for keys, passwords, and private keys, then documents confirmed disclosures with file locations and conversation evidence.

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• Checking source code for exposed embedded API keys
• Reviewing credentials in .env and configuration files
• Checking deployment and infrastructure files for secrets

Work across multiple n8n instances through one MCP connection, the link used by an agent to call tools. Specify each operation’s target, verify where credentials will be stored, and recover when requests reach the wrong environment.

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• Operate on production and staging with explicit targets
• Verify the destination before saving credentials
• Investigate unexpected NOT_FOUND errors

Run a quick code security review for exposed credentials, injection risks, unsafe page content, vulnerable dependencies, and authentication issues. Receive findings grouped by severity, with file locations and suggested fixes to prioritize remediation.

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• Reviewing sensitive code changes before merging
• Checking for exposed credentials
• Reviewing authentication and injection risks

Audit a project and its Claude Code configuration for exposed credentials, vulnerable dependencies, malicious instructions, and hook security. Receive a scored report with evidence, severity levels, and a prioritized plan for addressing the findings.

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• Reviewing project security before production deployment
• Checking credentials against Git history
• Inspecting Claude Code settings and security hooks