← Files RAG & GenAI CopilotARCHIVED FILE
UPGRADE_AUDIT.md
2.2 KB · Nov 14, 2026 · 00:50 UTC
# Upgrade audit — RAG & GenAI Copilot ## Original archive reviewed `production-rag-genai-copilot-0.1.0.zip`: one broad `production-rag-genai-copilot` skill; six references; original large SVG icon; existing positive and negative review cases; a skills-only manifest. ## Findings and changes | Existing limitation | v0.2.0 response | | --- | --- | | One broad skill handles dissimilar tasks | Fifteen focused skills including a stable-name router | | Evaluation and security mostly references, not independent workflows | Dedicated evaluation, citation, security and incident skills | | Architecture and actual code-generation paths not separated | Separate architecture, implementation, ingestion and retrieval skills | | No explicit host-aware specialist coordination | Real-subagent policy and sequential fallback | | No machine-readable benchmark scenarios or offline evaluator | 24 prompt scenarios, synthetic fixture, retrieval scorer and unit tests | | No consistent artifact/report contract | Architecture, incident, diagnosis, evaluation, trace and claim templates | | Publisher fields point to an individual | Tekris Labs developer brand and four legal/contact URLs | | Public label differs from published listing | Aligned public display name to `RAG & GenAI Copilot` | ## Preserved - Internal package ID `production-rag-genai-copilot` to support an update to the existing listing. - Exact original technical reference files in `references/original/`. - Original long skill in `docs/legacy-original-skill.md` for audit; it is no longer discoverable as a skill. - Original SVG logo and composer icon; no new art created. - Skills-only runtime claims and conservative production safety principles. ## Honest validation scope - Static manifest/skill/path checks and ZIP integrity were run. - Deterministic retrieval-scoring tests were run against a synthetic fixture. - Prompt scenarios are specifications, not executions. - This package cannot by itself query a production index, conduct a live evaluation, guarantee runtime skill invocation, or start multiple autonomous agents. - Tekris Labs URL fields are populated; individual public page response behavior and developer identity alignment should be verified before portal submission.
SHA-256: c5bbc3fd5410da132a7bfdafca98b8379bc213de73116bee1f574748735fa6e0