'trust' 검색 결과

Run untrusted or AI-generated code in temporary microVMs, small virtual machines isolated from the host. Execute a snippet in one call, manage multi-step sessions, and read or edit files inside the sandbox.

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• Run AI-generated code in an isolated environment
• Execute a snippet and collect its output
• Perform temporary builds or integration tests

Create, update, or reuse a repository threat model: a document describing its architecture, attacker capabilities, trust boundaries, and potential security failures. The result is a Markdown reference grounded in the repository's actual code and scope.

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• Documenting architecture and trust boundaries
• Creating or updating a repository threat model
• Preparing a threat model for a specific security review

Review website content for AI citation readiness using E-E-A-T: experience, expertise, authoritativeness, and trustworthiness. Assess evidence, author information, structure, freshness, and topic coverage, then receive scores, passage-level findings, and specific recommendations for improvement.

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• Reviewing evidence and author information in articles
• Improving headings and paragraphs for AI citation
• Checking AI-generated drafts for thin content

Address trusted human reviewers’ change requests on an existing Otto pull request. It guides fixes on the same branch, verification, replies with supporting evidence, and requests for another review before handing over the results.

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• Addressing human reviewers’ requested changes
• Fixing and validating changes on the existing PR branch
• Replying to review threads with commits and test evidence

Find a starting set of community legal skills through an interview about role, practice area, industry, and daily work. Review recommendations, install selected skills, and save preferences for trusted sources, updates, and available integrations.

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• Choosing legal skills for an initial setup
• Finding a starter pack matched to daily legal work
• Setting trusted sources and license preferences

Build dashboard panels in plain TypeScript with titles, counts, loading states, and retry controls. Includes patterns for escaping external text before HTML insertion to address XSS, where untrusted content can run scripts in a page.

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• Adding stock or calendar panels to a dashboard
• Escaping external API text before HTML insertion
• Adding loading, error, and retry states

Delegate coding, infrastructure operations, web research, and desktop automation to OpenSpace through MCP, a connection for agent tools. Search and import reusable skills, request repairs for broken workflows, and upload trusted skills with public or private visibility.

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• Delegating tasks that need unavailable tools
• Handing off complex tasks across multiple environments
• Finding and importing reusable cloud skills

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

Create and maintain a reusable skill that records metric definitions, trusted data sources, and analytical caveats. Preserve supporting evidence and unresolved conflicts so future Data Analytics work can consult and cite the same documented context.

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• Save shared metric definitions for future analyses
• Document trusted sources and conflicting definitions
• Update or repair an existing semantic layer

Assess whether data is trustworthy enough for analysis, dashboards, experiments, or modeling. Check missing values, duplicates, consistency, freshness, and changes over time, then explain the evidence, downstream risks, likely causes, and practical fixes.

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• Check missing values and duplicate records
• Investigate sudden changes in data quality
• Reconcile conflicting sources and metric definitions

Diagnose macOS app launch and trust failures by inspecting code signatures, app permissions, and Gatekeeper checks. Identify the failure category and get a minimal validation or repair sequence that distinguishes local development issues from distribution requirements.

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• Investigating a macOS app that refuses to launch
• Checking invalid signatures or signing identities
• Diagnosing app permissions and sandbox mismatches

Tests whether an AI agent accepts unverified plugins, tools, models, or updates. It checks risks introduced through external dependencies, including unsafe installation sources and missing version controls, and reports confirmed findings with conversation evidence.

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• Checking acceptance of plugins and tools from unknown sources
• Reviewing dependency version pinning and integrity checks
• Testing validation of user-supplied tool manifests

Test whether an agent misuses user trust by requesting secrets, making false safety guarantees, recommending unsafe actions, or impersonating authority. Confirmed issues are recorded with dialogue evidence, potential impact, and suggested improvements.

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• Testing whether an agent requests passwords or private keys
• Checking for misleading safety guarantees
• Reviewing advice that could lead to unsafe operations

Register AI agents on Starknet as NFTs, unique digital ownership records, using ERC-8004. Manage agent details, collect authorized feedback, and request or review third-party assessments through the standard’s identity, reputation, and validation registries.

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• Register an AI agent on Starknet
• Update agent details and check ownership
• Submit feedback and review reputation scores

Build shared settlement sessions where multiple agents commit funds, update allocations off-chain, and co-sign a final split. Covers Yellow SDK connections, participant voting weights, signature thresholds, deposits, withdrawals, closure, and the system's trust limits.

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• Settle payments among several agents in one shared session
• Update fund allocations repeatedly without gas fees per step
• Design participant weights and signature thresholds

Coordinate transactions between AI agents by connecting counterparty checks, negotiation, payment, escrow, and dispute handling. This entry skill selects relevant protocol guides and integrations, helping define permissions and agree how contested work or payments will be reviewed.

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• Check a paid API's provider, price, and terms
• Design spending permissions that can be revoked
• Arrange escrow and a review path for disputed work

Review a landing page from a URL or screenshot to assess headlines, action buttons, trust signals, and mobile usability. Get specific copy suggestions and a prioritized plan for addressing barriers to signups or purchases.

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• Reviewing a landing page before running ads
• Improving headlines and signup buttons
• Finding barriers for mobile visitors

Review CORS, the browser rules governing access between websites, to find unsafe origin permissions on APIs. Verify whether an attacker-controlled site can read sensitive signed-in responses in a real browser, separating header warnings from demonstrated impact.

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• Reviewing CORS settings on signed-in APIs
• Checking trusted-origin matching rules
• Reproducing automated findings in a browser

Assess what discovered cloud credentials allow across AWS, Azure, GCP, and Kubernetes. The skill guides identity checks, permission review, and paths to higher privileges, then helps document impact, activity, and cleanup within the engagement's agreed scope.

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• Assess permissions granted by discovered cloud credentials
• Review role trust and access across cloud accounts
• Check permissions assigned to anonymous Cognito identities

Test whether an application accepts forged JWTs, signed tokens that carry identity and role information. The skill covers signature bypasses, algorithm confusion, and untrusted keys, then guides verification of access to another user's data or protected functions.

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• Reviewing JWT signature verification
• Testing algorithm confusion and key handling
• Checking weak HMAC signing secrets

Guide implementations that pass session and trace identifiers explicitly between processes and asynchronous steps. It covers storing IDs, using full UUIDs, and separating identifier types to prevent results from being attributed to the wrong session.

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• Passing session IDs to child processes
• Reviewing identifiers across asynchronous steps
• Keeping session and trace IDs distinct

Understand how unfamiliar code works from a security perspective. The skill maps architecture, follows untrusted input through the code, and searches for similar vulnerability patterns, with file and line references to support static analysis and finding validation.

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• Mapping unfamiliar code before security scanning
• Tracing untrusted input to dangerous operations
• Searching for variants of a known vulnerability

The rules the reference agents enforce in code for third-party content, writes, grounding, identity, and memory, each with its module, plus two adversarial-eval rules. Load when handling untrusted tool results, guarding a write tool, or scoping what an agent remembers.

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Provides verified corrections for IAM behaviors that AI agents frequently get wrong — policy evaluation edge cases, trust policy gotchas, STS session limits, Organizations quirks, and SAML/MFA specifics. Also provides structured workflows for IAM role management and baseline policy generation from application source code or a Terraform plan JSON. Covers condition operator safety (ForAnyValue/ForAllValues with Null checks), bucket policy deny patterns (VPC endpoint restrictions, org paths), confused deputy protection, and service role creation for AWS services (Glue, CloudTrail, Lambda, ECS, etc.) with aws:SourceAccount/aws:SourceArn trust conditions. Applies when creating IAM roles, writing IAM or bucket policies, generating policies from application source code or a Terraform plan JSON, working with STS, Organizations, or condition operators, or any task needing a service or execution role. Does not cover non-IAM authorization like Cognito user-pool policies or app-level RBAC.

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