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← RAG & GenAI CopilotCONTENT HISTORY

Update to RAG & GenAI Copilot

Snapshot Nov 3, 2026 · 00:12 UTC · version 0.2.0

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Before

Sep 30, 2026 · 23:18 UTC

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After

Nov 3, 2026 · 00:12 UTC

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Package file

Before

Sep 30, 2026 · 23:18 UTC

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After

Nov 3, 2026 · 00:12 UTC

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Before

Sep 30, 2026 · 23:18 UTC

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After

Nov 3, 2026 · 00:12 UTC

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Before

Sep 30, 2026 · 23:18 UTC

2576

After

Nov 3, 2026 · 00:12 UTC

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Changed files

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.codex-plugin/assets/composer-icon.svg →

.codex-plugin/assets/logo.svg →

.codex-plugin/plugin.json →

CHANGELOG.md →

PLUGIN_CREATOR_PROMPT.md →

README.md →

SUBMISSION.md →

UPGRADE_AUDIT.md →

assets/composer-icon.svg →

assets/icon.svg →

benchmarks/fixtures/retrieval_examples.json →

benchmarks/review-cases.md →

benchmarks/scenarios.json →

docs/RESEARCH_NOTES.md →

docs/legacy-original-skill.md →

plugin.json →

references/architecture-patterns.md →

references/citations-grounding.md →

references/core-invariants.md →

references/debugging-boundaries.md →

references/evaluation-metrics.md →

references/evidence-contract.md →

references/implementation-contracts.md →

references/incident-response.md →

references/ingestion-indexing.md →

references/observability-slo.md →

references/official-sources.md →

references/orchestration.md →

references/original/official_source_registry.md →

references/original/rag_architecture_patterns.md →

references/original/rag_debugging_playbooks.md →

references/original/rag_evaluation_framework.md →

references/original/rag_observability_latency_cost.md →

references/original/rag_security_guardrails.md →

references/retrieval-ranking.md →

references/security-boundaries.md →

references/security-test-cases.md →

references/technology-comparison.md →

scripts/__pycache__/score_retrieval.cpython-313.pyc →

scripts/score_retrieval.py →

scripts/validate_package.py →

skills/audit-citations/SKILL.md →

skills/build-rag-system/SKILL.md →

skills/compare-rag-stacks/SKILL.md →

skills/debug-rag/SKILL.md →

skills/design-ingestion-indexing/SKILL.md →

skills/design-retrieval/SKILL.md →

skills/evaluate-rag/SKILL.md →

skills/modernize-rag/SKILL.md →

skills/observe-rag/SKILL.md →

skills/optimize-rag/SKILL.md →

skills/orchestrate-rag-agents/SKILL.md →

skills/plan-rag-architecture/SKILL.md →

skills/production-rag-genai-copilot/SKILL.md →

skills/production-rag-genai-copilot/agents/openai.yaml →

skills/production-rag-genai-copilot/references/official_source_registry.md →

skills/production-rag-genai-copilot/references/rag_architecture_patterns.md →

skills/production-rag-genai-copilot/references/rag_debugging_playbooks.md →

skills/production-rag-genai-copilot/references/rag_evaluation_framework.md →

skills/production-rag-genai-copilot/references/rag_observability_latency_cost.md →

skills/production-rag-genai-copilot/references/rag_security_guardrails.md →

skills/respond-rag-incident/SKILL.md →

skills/secure-rag/SKILL.md →

submission/listing-and-prompts.md →

submission/public-submission-checklist.md →

submission/release-notes.md →

submission/test-cases.md →

templates/architecture-brief.md →

templates/claim-evidence-matrix.csv →

templates/diagnostic-report.md →

templates/eval-plan.md →

templates/incident-brief.md →

templates/trace-record.json →

tests/__pycache__/test_retrieval_metrics.cpython-313.pyc →

tests/test_retrieval_metrics.py →

plugin.json

− removed · + added

--- before
+++ after
@@ -1,49 +1,64 @@
 {
   "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
+  "name": "production-rag-genai-copilot",
+  "version": "0.2.0",
+  "description": "Engineering-focused RAG architecture, implementation, debugging, evaluation, security, incidents, and reliability workflows.",
   "author": {
-    "name": "Krishna Sathvik"
+    "name": "Tekris Labs",
+    "email": "support@tekrislabs.com",
+    "url": "https://tekrislabs.com/"
   },
-  "description": "Production-focused RAG architecture, debugging, evaluation, security, and reliability.",
+  "homepage": "https://tekrislabs.com/",
+  "keywords": [
+    "rag",
+    "genai",
+    "retrieval",
+    "embeddings",
+    "groundedness",
+    "citations",
+    "evaluation",
+    "rag-security",
+    "observability",
+    "agents"
+  ],
+  "skills": "./skills/",
   "extensions": {
     "com.openai": {
       "interface": {
+        "displayName": "RAG & GenAI Copilot",
+        "shortDescription": "Build and debug reliable RAG",
+        "longDescription": "Build, inspect, improve, evaluate and secure retrieval-augmented generation systems using focused production workflows. Diagnose ingestion, parsing, indexing, retrieval, reranking, grounded answers, citations and access-control failures. Design measurable evaluation sets, reliability plans, incident playbooks, observability and latency/cost trade-offs. Supports practical coding and real specialist-agent delegation when tools are available. This is a skills-only plugin: it does not independently query private indexes, execute production evaluations, access your repositories or deploy changes.",
+        "developerName": "Tekris Labs",
+        "category": "Developer Tools",
         "capabilities": [
-          "Design production RAG architectures for quality, freshness, security, latency, and cost",
-          "Debug retrieval and grounded-generation failures from traces, logs, prompts, and evals",
-          "Diagnose parsing, chunking, indexing, metadata, filtering, reranking, and context issues",
-          "Evaluate retrieval quality, groundedness, citation correctness, abstention, and regressions",
-          "Review prompt injection, RAG poisoning, cross-tenant leakage, and authorization risks",
-          "Plan low-blast-radius incident containment, verification, rollback, and permanent fixes",
-          "Improve hybrid retrieval, query rewriting, reranking, context packing, and source precedence",
-          "Design observability for retrieval traces, model calls, citations, latency, tokens, and cost",
-          "Compare retrievers, rerankers, models, vector stores, and architecture trade-offs",
-          "Use current official documentation for model, vector-store, SDK, security, and platform changes"
+          "Design RAG architectures with evidence, freshness, authorization, and evaluation boundaries",
+          "Build or improve RAG pipelines when coding tools and project access are available",
+          "Diagnose ingestion, chunking, indexing, retrieval, reranking, and context failures",
+          "Evaluate ranking, grounded answers, citations, abstention, and regressions by slice",
+          "Review data isolation, prompt injection, poisoned documents, and access controls",
+          "Plan production containment, safe rollback, and incident recovery",
+          "Compare vector search, hybrid retrieval, rerankers, models, and trade-offs",
+          "Add tracing for answer evidence, latency, cost, failures, and index freshness",
+          "Coordinate real specialist agents where supported; otherwise work sequentially",
+          "Prepare regression checks and release evidence without inventing test results"
         ],
-        "category": "Developer Tools",
-        "composerIcon": "./.codex-plugin/assets/composer-icon.svg",
         "defaultPrompt": [
-          "Debug why this RAG system is returning the wrong evidence.",
-          "Design a production RAG architecture for this use case.",
-          "Build an eval plan for retrieval, grounding, citations, and abstention."
+          "Debug this RAG failure using my retrieval traces and identify the first failing layer.",
+          "Design a secure production RAG architecture for this corpus and access model.",
+          "Create an evaluation plan for retrieval, grounded answers, citations, and abstention."
         ],
-        "developerName": "Krishna Sathvik",
-        "displayName": "RAG & GenAI Copilot",
-        "logo": "./.codex-plugin/assets/logo.svg",
-        "longDescription": "Production RAG & GenAI Copilot helps you design, debug, evaluate, secure, and operate retrieval-augmented generation systems. It can trace failures across ingestion, parsing, chunking, indexing, retrieval, reranking, context construction, generation, citations, authorization, and evaluation; design practical RAG architectures; build retrieval and groundedness evals; review prompt-injection and data-leakage risks; and improve observability, latency, and cost. It favors measurable evidence, reversible fixes, source-level authorization, and simple architectures over prompt-only fixes or unnecessary complexity.",
-        "shortDescription": "Build and debug production RAG"
+        "brandColor": "#1B2636",
+        "logo": "./assets/logo.svg",
+        "composerIcon": "./assets/composer-icon.svg",
+        "websiteURL": "https://tekrislabs.com/",
+        "supportURL": "https://tekrislabs.com/contact",
+        "privacyPolicyURL": "https://tekrislabs.com/privacy",
+        "termsOfServiceURL": "https://tekrislabs.com/terms"
+      },
+      "onboardingSkill": "./skills/production-rag-genai-copilot/SKILL.md",
+      "publication": {
+        "release_notes": "0.2.0: Refactored one broad production RAG skill into 15 focused workflows; expanded technical references, incident/evaluation templates, host-aware agent coordination, benchmark scenarios, and offline validation. Added Tekris Labs publisher and policy URLs. Skills-only; no remote MCP server."
       }
     }
-  },
-  "keywords": [
-    "rag",
-    "genai",
-    "retrieval",
-    "llm",
-    "evaluation",
-    "security",
-    "observability"
-  ],
-  "name": "production-rag-genai-copilot",
-  "skills": "./skills/",
-  "version": "0.1.0"
+  }
 }
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