Reusable base rules and skills for Codex-style agents and Claude Code.
Turn a function into an `http.Agent` instance
Let agents run disposable VMs
Airbnb's base JS ESLint config, following our styleguide
ESLint plugin for Nuxt.js
New Relic agent
Accessibility preset rule configs for axe
[](https://npmjs.org/package/eslint-plugin-n8n-nodes-base)
CLEO agent protocols and templates
No description provided.
Airbnb's ESLint config, following our styleguide
An HTTP(s) proxy `http.Agent` implementation for HTTPS
[](https://www.npmjs.com/package/@aws-sdk/util-user-agent-node) [](https://www.npmjs.com/
Maps proxy protocols to `http.Agent` implementations
Ship compositional knowledge for AI coding agents alongside your npm packages
CSS modules shareable config for stylelint
A New Relic Mobile Agent for React Native
Resolve a URI relative to an optional base URI
[](https://www.npmjs.com/package/@aws-sdk/middleware-user-agent) [](https://www.npmjs.c
ESLint plugin with configurations and custom rules for Factory projects
ESLint plugin and parser for Firebase Security Rules.
Get a user agent string across all JavaScript Runtime Environments
Simple functions shared among the sinon end user libraries
The official CLI for Lark/Feishu open platform
Wraps RubyLLM::Chat with input/output contracts, business-rule validation, retry with model escalation on validation failure, pre-flight cost ceilings, and an evaluation framework. Sibling abstraction to RubyLLM::Agent — same niche (reusable class-based prompts), wider contract.
## Overview Privileged Access Manager (PAM) is a Google Cloud native, managed solution to secure, manage and audit privileged access while ensuring operational velocity and developer productivity. PAM enables just-in-time, time-bound, approval-based access elevations, and auditing of privileged access elevations and activity. PAM lets you define the rules of who can request access, what they can request access to, and if they should be granted access with or without approvals based on the sensitivity of the access and emergency of the situation. ## Concepts ### Entitlement An entitlement is an eligibility or license that allows specified users (requesters) to request and obtain access to specified resources subject to a set of conditions such as duration, etc. entitlements can be granted to both human and non-human principals. ### Grant A grant is an instance of active usage against the entitlement. A user can place a request for a grant against an entitlement. The request may be forwarded to an approver for their decision. Once approved, the grant is activated, ultimately giving the user access (roles/permissions) on a resource per the criteria specified in entitlement. ### How does PAM work PAM creates and uses a service agent (Google-managed service account) to perform the required IAM policy changes for granting access at a specific resource/access scope. The service agent requires getIAMPolicy and setIAMPolicy permissions at the appropriate (or higher) access scope - Organization/Folder/Project to make policy changes on the resources listed in PAM entitlements. When enabling PAM for a resource scope, the user/ principal performing that action should have the appropriate permissions at that resource scope (resourcemanager.{projects|folders|organizations}.setIamPolicy, resourcemanager.{projects|folders|organizations}.getIamPolicy, and resourcemanager.{projects|folders|organizations}.get) to list and grant the service agent/account the required access to perform IAM policy changes. Note that google-cloud-privileged_access_manager-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-privileged_access_manager instead. See the readme for more details.
## Overview Privileged Access Manager (PAM) is a Google Cloud native, managed solution to secure, manage and audit privileged access while ensuring operational velocity and developer productivity. PAM enables just-in-time, time-bound, approval-based access elevations, and auditing of privileged access elevations and activity. PAM lets you define the rules of who can request access, what they can request access to, and if they should be granted access with or without approvals based on the sensitivity of the access and emergency of the situation. ## Concepts ### Entitlement An entitlement is an eligibility or license that allows specified users (requesters) to request and obtain access to specified resources subject to a set of conditions such as duration, etc. entitlements can be granted to both human and non-human principals. ### Grant A grant is an instance of active usage against the entitlement. A user can place a request for a grant against an entitlement. The request may be forwarded to an approver for their decision. Once approved, the grant is activated, ultimately giving the user access (roles/permissions) on a resource per the criteria specified in entitlement. ### How does PAM work PAM creates and uses a service agent (Google-managed service account) to perform the required IAM policy changes for granting access at a specific resource/access scope. The service agent requires getIAMPolicy and setIAMPolicy permissions at the appropriate (or higher) access scope - Organization/Folder/Project to make policy changes on the resources listed in PAM entitlements. When enabling PAM for a resource scope, the user/ principal performing that action should have the appropriate permissions at that resource scope (resourcemanager.{projects|folders|organizations}.setIamPolicy, resourcemanager.{projects|folders|organizations}.getIamPolicy, and resourcemanager.{projects|folders|organizations}.get) to list and grant the service agent/account the required access to perform IAM policy changes.
A comprehensive Ruby implementation of a Knowledge-Based System featuring: • RETE Algorithm: Optimized forward-chaining inference engine with unlinking optimization for high-performance pattern matching • Declarative DSL: Readable, expressive syntax for rule definition with built-in condition helpers • Blackboard Architecture: Multi-agent coordination with message passing and knowledge source registration • Flexible Persistence: SQLite (durable), Redis (fast), and hybrid storage backends with audit trails • Concurrent Execution: Thread-safe auto-inference mode for real-time processing • AI Integration: Native support for LLM integration (Ollama, OpenAI) for hybrid symbolic/neural reasoning • Production Features: Session management, fact history, query API, statistics tracking Perfect for expert systems, trading algorithms, IoT monitoring, portfolio management, and AI-enhanced decision systems.