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Customize AgentRC readiness assessments to match team or organization standards. Choose or create policies that adjust check importance, disable irrelevant checks, set pass thresholds, and define requirements for automated checks in CI workflows.

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• Set shared readiness standards across an organization
• Focus assessments on AI tooling
• Adjust the importance of individual checks

Generate coding agent instruction files from a project's actual code using AgentRC. Capture detected languages, frameworks, and conventions in one shared file or split rules by topic and project area, with a preview before writing.

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• Create project instructions for VS Code Copilot
• Refresh agent rules after project changes
• Split monorepo instructions by project area

Review records across OMC sessions to find recurring obstacles in the agent's working environment. It turns evidence from timelines, logs, and notes into ranked proposals for checks, guidance, tools, or information access, with changes requiring user approval.

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• Investigating errors repeated across sessions
• Reviewing missing or disconnected automated checks
• Improving access to logs and service state

Identify runtime signs of attackers breaking out of Docker or Kubernetes containers. Review namespace changes, privilege abuse, sensitive host access, and unusual system calls to guide incident investigations and compare monitoring coverage across security tools.

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• Investigating a suspected Docker or Kubernetes container escape
• Choosing runtime behaviors to monitor for escape attempts
• Comparing escape detection coverage across security sensors

Simulate device-code and app-consent phishing in an explicitly authorized Microsoft Entra ID environment. Assess whether authentication and consent controls prevent token misuse, map reachable Microsoft 365 resources, and document findings with remediation recommendations.

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• Run authorized Microsoft 365 phishing exercises
• Validate Conditional Access and MFA controls
• Test restrictions on app consent

Helps plan Zoom integrations by comparing APIs, SDKs, app types, authentication, and permissions. Guides the choice between repeatable API automation and MCP, a protocol for connecting AI agents to tools, and identifies relevant implementation skills.

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• Choose a Zoom SDK for embedding meetings
• Compare REST API automation with AI agent tooling
• Plan meeting creation, authentication, and event handling

Build and review Kubernetes Operators, controllers that keep custom resources in their desired state. Included tools check resource definitions and Go reconciliation code, then assess operational capabilities and suggest improvements.

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• Designing custom resource definitions for a new Operator
• Reviewing Go reconciliation code for common mistakes
• Assessing Operator capabilities and planning improvements

Plan controlled failure experiments to uncover system weaknesses. Define normal operating metrics, estimate affected users and reliability risk, set abort and recovery conditions, and turn experiment results into a structured review with follow-up actions.

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• Designing a controlled failure experiment
• Estimating affected users and reliability risk
• Planning a team failure response exercise

Maintain cmux billing code with guidance on Stripe checkout, pricing, subscriptions, and access rights. It maps the relevant services and provides workflows for testing purchases, handling payment events, and rolling out billing changes.

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• Debugging checkout and subscription records
• Updating prices and plan switching
• Checking paid access and Cloud VM limits

Install LifeOS into an existing AI agent environment, then use a guided interview to capture current circumstances and goals for the Pulse dashboard. The skill also handles installation checks, updates, and removal.

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• Set up LifeOS in an existing AI agent environment
• Capture current circumstances and goals through an interview
• Check installation problems and suggested fixes

Review Agent-Native Research Artifacts, structured research packages for agents, across six dimensions of research quality. Produce a JSON report with scores, strengths, severity-ranked findings, practical improvements, and an overall acceptance or rejection recommendation.

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• Reviewing an ARA before publication
• Checking whether evidence supports research claims
• Assessing experimental methods and research records

Turn papers, code, experiment logs, and notes into an ARA, a structured research package for AI agents. Organizes claims, evidence, verification plans, code stubs, and research decisions, then checks coverage and consistency across the generated files.

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• Organize a paper and its code into a research package
• Link research claims to tables, figures, and verification plans
• Preserve failed approaches and research decisions

Document how a research or coding session evolved after the work is complete. The skill extracts decisions, experiments, failed approaches, and claims into ara/ files, distinguishing user statements from AI suggestions and actions.

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• Record the reasons behind research decisions
• Preserve failed experiments and their lessons
• Distinguish user decisions from AI suggestions

Build machine learning workflows that connect data checks, training, evaluation, and deployment. The skill implements experiment tracking, model version management, and automated retraining, with reproducible environments and explicit validation thresholds before models enter production.

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• Automate model training and retraining workflows
• Record and compare machine learning experiments
• Build a feature store for model input data

Create Dockerfiles, automated build and deployment pipelines, Kubernetes configurations, and infrastructure templates. The skill also prepares deployment checks, rollback procedures, and incident response runbooks to support application releases and production operations.

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• Setting up automated build and deployment pipelines
• Packaging applications with Docker
• Managing Kubernetes and cloud infrastructure as code

Create an isolated development container configured for Claude Code and the project's languages. Generate container files, editor settings, dependency setup commands, and persistent storage for Python, Node/TypeScript, Rust, and Go projects.

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• Add devcontainer support to a project
• Set up an isolated Claude Code workspace
• Configure development tools for a multilingual project

Set up Python projects and standalone scripts with uv for dependencies, ruff for code checks and formatting, and ty for type checking. Configure tests and project files, or migrate existing workflows when requested.

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• Starting a Python project or reusable package
• Writing a standalone script with external dependencies
• Configuring formatting, type checks, and tests

Assess API business workflows for flaws that automated scanners can miss. The skill examines skipped steps, simultaneous transactions, authentication tokens, GraphQL, and webhooks, helping testers document weaknesses and their financial or operational impact during authorized assessments.

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• Reviewing order and payment workflow integrity
• Testing concurrent coupon redemption or transfers
• Assessing JWT validation and GraphQL controls

Assess weaknesses in the software supply chain, from dependency packages to build pipelines and distributed artifacts. Covers authorized proof-of-concept testing, package confusion, container image risks, signing abuse, and defensive checks for tampering.

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• Assess dependency confusion risks in package registry settings
• Review tampering risks in CI/CD artifacts and container images
• Plan a non-destructive proof of concept and remediation report

Audit TLS/SSL, the technology that encrypts network connections, across servers and mobile apps. The skill covers outdated protocols, weak encryption, certificate validation failures, known vulnerabilities, and replay risks, helping organize evidence and prioritize fixes.

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• Auditing server protocols, encryption settings, and certificates
• Reviewing certificate validation in mobile apps
• Assessing TLS 1.3 replay risks and mutual authentication

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

Assess Wi-Fi disconnection and reconnection behavior using deauthentication and disassociation tests. The skill covers client targeting, handshake capture, protected management frames, transmission scope and rate, and reporting observed effects and detection signals.

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• Testing reconnection behavior for a specific Wi-Fi client
• Capturing authentication exchanges during reconnection
• Assessing protected management frame settings

Test REST, gRPC, and WebSocket APIs for weaknesses in authentication, access controls, input handling, and configuration. Provides protocol-specific checks, tool guidance, and detection indicators to help document reproducible findings and severity during authorized assessments.

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• Check access controls across users and roles
• Review token lifecycles and request limits
• Assess gRPC and WebSocket security

Assess how applications use encryption, signed tokens, and random values. Identify implementation weaknesses, select relevant testing tools, and document causes and fixes for issues involving encryption modes, RSA parameters, predictable randomness, and key derivation.

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• Assessing encrypted cookies and tokens
• Checking RSA keys and cryptographic settings
• Testing session token predictability