{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-codingbuddy","slug":"npm-codingbuddy","name":"codingbuddy","type":"mcp","url":"https://www.npmjs.com/package/codingbuddy","page_url":"https://unfragile.ai/npm-codingbuddy","categories":["mcp-servers"],"tags":["ai","mcp","model-context-protocol","coding-assistant","cursor","claude","claude-code","copilot","antigravity","amazon-q","kiro","coding-rules","ai-rules","developer-tools","nestjs"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-codingbuddy__cap_0","uri":"capability://tool.use.integration.centralized.coding.rules.distribution.across.multiple.ai.assistants","name":"centralized coding rules distribution across multiple ai assistants","description":"Implements a Model Context Protocol (MCP) server that acts as a single source of truth for coding rules, allowing developers to define rules once and automatically propagate them to multiple AI coding assistants (Claude, Copilot, Amazon Q, Cursor, etc.) without manual duplication. Uses MCP's resource and tool interfaces to expose rule definitions that compatible clients can consume and apply during code generation and analysis workflows.","intents":["I want to enforce consistent coding standards across Claude, Copilot, and Cursor without maintaining separate rule files for each tool","I need to update my team's coding guidelines in one place and have all AI assistants immediately reflect those changes","I want to prevent different AI tools from generating code that violates our project's architectural patterns or style conventions"],"best_for":["engineering teams using multiple AI coding assistants simultaneously","organizations standardizing on MCP-compatible tools (Claude Code, Cursor, Amazon Q)","teams with strict code quality or architectural governance requirements"],"limitations":["Requires all target AI assistants to support MCP protocol — older tools like legacy Copilot versions may not be compatible","Rule enforcement depends on each client's implementation — MCP server provides rules but cannot guarantee adherence","No built-in conflict resolution if different assistants interpret rules differently","Requires Node.js runtime to host the MCP server — adds operational overhead vs. static rule files"],"requires":["Node.js 18+ (based on NestJS framework dependency)","MCP-compatible AI assistant client (Claude Code, Cursor, Amazon Q, or similar)","Network connectivity between client and MCP server (local or remote)","Basic understanding of MCP protocol and resource/tool definitions"],"input_types":["JSON or YAML rule definitions","MCP protocol requests (resource reads, tool invocations)","Code context from client assistants"],"output_types":["Structured rule objects (JSON)","MCP protocol responses","Rule metadata and versioning information"],"categories":["tool-use-integration","mcp-server"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-codingbuddy__cap_1","uri":"capability://tool.use.integration.rule.versioning.and.change.tracking.for.coding.standards","name":"rule versioning and change tracking for coding standards","description":"Maintains version history of coding rules with change tracking capabilities, allowing teams to audit when rules were modified, by whom, and what changed. Implements a versioning system that MCP clients can query to understand rule evolution and potentially rollback to previous rule sets if needed.","intents":["I need to track when our coding standards changed and what the previous version required","I want to understand why a particular coding rule exists and when it was introduced","I need to rollback to a previous set of rules if a recent change breaks our build process"],"best_for":["teams with formal code review and governance processes","organizations requiring audit trails for compliance or quality assurance","projects where coding standards evolve frequently and need historical context"],"limitations":["Version history storage depends on server-side persistence — no built-in database, requires external storage integration","No automatic rollback mechanism — requires manual intervention to revert to previous versions","Change tracking granularity depends on how rules are structured — monolithic rule files lose granular change history"],"requires":["Persistent storage backend (database, file system, or version control integration)","Mechanism to track rule authorship and timestamps","MCP client support for querying version metadata"],"input_types":["Rule definition updates","Metadata about rule changes (author, timestamp, reason)"],"output_types":["Version history objects","Change diffs between rule versions","Audit logs with authorship and timestamps"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-codingbuddy__cap_2","uri":"capability://tool.use.integration.multi.ai.assistant.rule.synchronization.and.conflict.resolution","name":"multi-ai assistant rule synchronization and conflict resolution","description":"Manages rule synchronization across heterogeneous AI assistants with different rule formats and capabilities, translating a canonical rule representation into assistant-specific formats (Claude system prompts, Copilot rule syntax, Cursor rules, etc.). Includes conflict detection when rules from different sources contradict each other and provides resolution strategies.","intents":["I use Claude, Copilot, and Cursor simultaneously but they have conflicting rules about code formatting — I need a way to resolve this","I want to translate my existing Cursor rules into a format that Claude Code can understand without manual rewriting","I need to detect when rules from different AI assistants contradict each other before they cause problems"],"best_for":["teams using 3+ different AI coding assistants in the same codebase","organizations migrating from one AI tool to another and need rule translation","projects with strict consistency requirements across multiple AI-assisted workflows"],"limitations":["Not all rule types translate cleanly between assistants — some assistants may not support certain rule categories","Conflict resolution is heuristic-based and may not capture domain-specific intent — requires human review for critical conflicts","Translation accuracy depends on semantic similarity between rule formats — lossy translation possible for complex rules","No real-time conflict detection during rule updates — conflicts discovered only when rules are queried or applied"],"requires":["Mapping definitions between different AI assistant rule formats","Conflict detection algorithm (rule comparison logic)","Knowledge of each assistant's rule syntax and capabilities"],"input_types":["Rules in canonical format","Rules from external sources (Cursor, Copilot, Claude system prompts)","Conflict resolution preferences"],"output_types":["Translated rules in assistant-specific formats","Conflict reports with severity levels","Reconciliation suggestions"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-codingbuddy__cap_3","uri":"capability://tool.use.integration.rule.templating.and.parameterization.for.project.specific.customization","name":"rule templating and parameterization for project-specific customization","description":"Provides a templating system for coding rules that allows teams to define rule templates with parameters, enabling different projects or teams to customize rules without duplicating the entire rule set. Uses variable substitution and conditional logic to generate project-specific rule variants from a shared template library.","intents":["I want to define a base set of coding rules but allow different teams to customize them for their specific tech stack","I need to parameterize rules so that naming conventions can be adjusted per project without maintaining separate rule files","I want to conditionally apply rules based on the project's framework (NestJS vs Express vs Fastify) without duplicating rules"],"best_for":["organizations with multiple projects sharing common coding standards but with project-specific variations","teams using different tech stacks that need similar but not identical rules","enterprises managing rules across dozens of projects with minimal duplication"],"limitations":["Template complexity can become difficult to maintain if too many parameters are introduced","Conditional logic in templates may obscure the actual rules being applied — requires careful documentation","No built-in validation that parameterized rules are semantically correct — invalid parameter combinations could generate nonsensical rules","Debugging template-generated rules is harder than static rules — requires template expansion visibility"],"requires":["Template engine (Handlebars, Jinja2, or similar)","Parameter definition schema","Project-specific configuration to bind parameters"],"input_types":["Rule templates with placeholders","Parameter definitions and values","Conditional expressions"],"output_types":["Expanded rule definitions","Parameter binding reports","Template validation errors"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-codingbuddy__cap_4","uri":"capability://tool.use.integration.mcp.protocol.resource.exposure.for.rule.discovery.and.querying","name":"mcp protocol resource exposure for rule discovery and querying","description":"Exposes coding rules as MCP resources that clients can discover, query, and subscribe to updates for. Implements the MCP resource interface to allow AI assistants to introspect available rules, retrieve specific rule definitions, and receive notifications when rules change, enabling dynamic rule application without client restarts.","intents":["I want Claude to automatically discover and apply the latest coding rules without me manually updating its system prompt","I need to query what rules are currently active for my project and see their full definitions","I want to be notified when coding rules change so I can adjust my AI assistant's behavior accordingly"],"best_for":["teams using MCP-compatible AI assistants (Claude Code, Cursor, Amazon Q)","organizations wanting dynamic rule updates without restarting AI tools","projects where rules change frequently and need to be reflected immediately"],"limitations":["Requires MCP client support for resource subscriptions — not all AI assistants may implement this feature","Network latency between client and MCP server affects rule discovery and update latency","No caching mechanism specified — frequent rule queries could create performance bottlenecks","Resource discovery depends on MCP client implementation — some clients may not expose all available resources"],"requires":["MCP-compatible AI assistant client","Network connectivity to MCP server","MCP protocol version compatibility"],"input_types":["MCP resource discovery requests","Rule query parameters (project ID, rule category, etc.)","Subscription requests for rule updates"],"output_types":["MCP resource listings","Rule definition objects","Update notifications with change deltas"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-codingbuddy__cap_5","uri":"capability://code.generation.editing.rule.validation.and.linting.against.coding.standards","name":"rule validation and linting against coding standards","description":"Validates generated code against defined coding rules using a linting engine that checks code compliance with rule definitions. Implements rule-to-linter-rule translation that converts high-level coding rules into executable validation logic, enabling automated enforcement of standards on AI-generated code.","intents":["I want to automatically check if code generated by Claude or Copilot violates our coding rules before it's committed","I need to provide feedback to the AI assistant about which rules its generated code violated","I want to run a linter that understands our custom coding rules, not just generic style rules"],"best_for":["teams with strict code quality requirements and automated CI/CD pipelines","organizations wanting to close the loop between AI rule definitions and code validation","projects where rule violations need to be caught before code review"],"limitations":["Linting accuracy depends on rule-to-validator translation — complex rules may not translate to executable validators","Performance overhead of running custom validators on every code generation — could slow down AI-assisted workflows","No built-in integration with popular linters (ESLint, Pylint, etc.) — requires custom adapter development","False positives/negatives possible if rule semantics don't map cleanly to linting logic"],"requires":["Rule definition schema that supports linting translation","Code parser for the target language (AST-based or regex-based)","Linting rule engine or integration with existing linters"],"input_types":["Generated code (source files)","Rule definitions","Language/framework context"],"output_types":["Linting violation reports","Rule violation details with line numbers","Remediation suggestions"],"categories":["code-generation-editing","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-codingbuddy__cap_6","uri":"capability://tool.use.integration.rule.inheritance.and.composition.for.hierarchical.rule.organization","name":"rule inheritance and composition for hierarchical rule organization","description":"Supports rule inheritance and composition patterns, allowing teams to define base rule sets that can be extended or overridden by more specific rules. Implements a hierarchical rule resolution system where rules are applied in priority order (e.g., project-specific rules override team rules, which override organization-wide rules).","intents":["I want to define organization-wide coding standards but allow individual teams to override specific rules","I need to create a base rule set for all NestJS projects and then customize it for specific microservices","I want to inherit rules from a parent project but add additional constraints for a security-sensitive subproject"],"best_for":["large organizations with hierarchical team structures and varying rule requirements","enterprises managing rules across multiple projects with shared baselines","teams wanting to avoid rule duplication while maintaining flexibility"],"limitations":["Rule inheritance chains can become complex and difficult to debug — requires clear documentation of inheritance hierarchy","Override semantics may be ambiguous for complex rules — requires explicit merge strategies","No automatic conflict detection in inheritance chains — conflicting overrides could silently override each other","Performance overhead of rule resolution increases with inheritance depth"],"requires":["Rule inheritance schema definition","Rule resolution algorithm (priority/override logic)","Mechanism to track rule provenance (which rule came from which level)"],"input_types":["Base rule definitions","Override rule definitions","Inheritance hierarchy specification"],"output_types":["Resolved rule sets with provenance information","Inheritance chain visualization","Conflict reports for ambiguous overrides"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-codingbuddy__cap_7","uri":"capability://text.generation.language.rule.documentation.and.explanation.generation","name":"rule documentation and explanation generation","description":"Automatically generates human-readable documentation and explanations for coding rules, including rationale, examples, and exceptions. Uses rule metadata and optional explanation fields to create comprehensive rule documentation that helps developers understand not just what rules to follow but why they exist.","intents":["I want to understand why a particular coding rule exists and what problem it solves","I need to generate documentation for our coding standards that developers can reference","I want to provide examples of compliant and non-compliant code for each rule"],"best_for":["teams onboarding new developers who need to understand coding standards","organizations with formal documentation requirements for coding standards","projects where rule rationale is important for developer buy-in"],"limitations":["Documentation quality depends on rule metadata completeness — sparse metadata results in poor documentation","No automatic example generation — examples must be manually provided or generated separately","Documentation maintenance overhead if rules change frequently — requires keeping explanations in sync","Generated documentation may not capture nuanced rule interactions or edge cases"],"requires":["Rule metadata schema with explanation fields","Documentation template system","Optional: code example repository"],"input_types":["Rule definitions with metadata","Explanation text and rationale","Code examples (compliant and non-compliant)"],"output_types":["Markdown or HTML documentation","Rule reference guides","Example code snippets"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"high","permissions":["Node.js 18+ (based on NestJS framework dependency)","MCP-compatible AI assistant client (Claude Code, Cursor, Amazon Q, or similar)","Network connectivity between client and MCP server (local or remote)","Basic understanding of MCP protocol and resource/tool definitions","Persistent storage backend (database, file system, or version control integration)","Mechanism to track rule authorship and timestamps","MCP client support for querying version metadata","Mapping definitions between different AI assistant rule formats","Conflict detection algorithm (rule comparison logic)","Knowledge of each assistant's rule syntax and capabilities"],"failure_modes":["Requires all target AI assistants to support MCP protocol — older tools like legacy Copilot versions may not be compatible","Rule enforcement depends on each client's implementation — MCP server provides rules but cannot guarantee adherence","No built-in conflict resolution if different assistants interpret rules differently","Requires Node.js runtime to host the MCP server — adds operational overhead vs. static rule files","Version history storage depends on server-side persistence — no built-in database, requires external storage integration","No automatic rollback mechanism — requires manual intervention to revert to previous versions","Change tracking granularity depends on how rules are structured — monolithic rule files lose granular change history","Not all rule types translate cleanly between assistants — some assistants may not support certain rule categories","Conflict resolution is heuristic-based and may not capture domain-specific intent — requires human review for critical conflicts","Translation accuracy depends on semantic similarity between rule formats — lossy translation possible for complex rules","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.26,"ecosystem":0.5000000000000001,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.903Z","last_scraped_at":"2026-04-22T08:10:42.509Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-codingbuddy","compare_url":"https://unfragile.ai/compare?artifact=npm-codingbuddy"}},"signature":"IQpfujSa98XGJxFX/U6XORaQCMWzQOHiWe+tK5YnW7aiv3NyL0AA6uotVbgxY7JS+tCvfZPNBWErneg7816/DQ==","signedAt":"2026-06-22T00:58:51.316Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-codingbuddy","artifact":"https://unfragile.ai/npm-codingbuddy","verify":"https://unfragile.ai/api/v1/verify?slug=npm-codingbuddy","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}