Sync ctx 0472ed1

GitHub commit: 0472ed17f328f754e712273a3077ce0b295e095a

.github/workflows/test.yml

@@ -150,7 +150,7 @@ jobs:
           python -m pip install ".[dev,embeddings]"
 
       - name: Cache MiniLM model
-        uses: actions/cache@v4
+        uses: actions/cache@v5
         with:
           path: ~/.cache/huggingface
           key: hf-sentence-transformers-all-MiniLM-L6-v2-v1
@@ -507,7 +507,7 @@ jobs:
           PY
 
       - name: Cache Playwright browsers
-        uses: actions/cache@v4
+        uses: actions/cache@v5
         with:
           path: ~/.cache/ms-playwright
           key: playwright-${{ runner.os }}-${{ steps.playwright.outputs.version }}

README.md

@@ -27,6 +27,13 @@ tags:
 [![Docs](https://img.shields.io/badge/docs-MkDocs_Material-blue.svg)](https://stevesolun.github.io/ctx/)
 [![Repo views](https://hits.sh/github.com/stevesolun/ctx.svg?label=repo%20views)](https://hits.sh/github.com/stevesolun/ctx/)
 
+**ctx is not an Amazon-style catalog of skills, MCPs, agents, tools, or
+harnesses. It is a recommendation layer.** Point it at your organization's own
+tools, or use the pre-built graph, and ctx recommends the smallest useful bundle
+for the current development window. The goal is to load the right skills,
+agents, MCP servers, and optional harness at the right moment so hosted LLMs
+burn fewer tokens and local models waste less CPU/GPU work.
+
 ctx watches what you are building, walks a **79,958-node** graph, and
 recommends a small, top-scored bundle of skills, agents, and MCP servers for
 the current task. If you use your own local/API model instead of Claude Code,

docs/index.md

@@ -7,6 +7,13 @@ hide:
 
 [![Repo views](https://hits.sh/github.com/stevesolun/ctx.svg?label=repo%20views)](https://hits.sh/github.com/stevesolun/ctx/)
 
+**ctx is not an Amazon-style catalog of skills, MCPs, agents, tools, or
+harnesses. It is a recommendation layer.** Point it at your organization's own
+tools, or use the pre-built graph, and ctx recommends the smallest useful bundle
+for the current development window. The goal is to load the right skills,
+agents, MCP servers, and optional harness at the right moment so hosted LLMs
+burn fewer tokens and local models waste less CPU/GPU work.
+
 Watches what you develop, walks a knowledge graph of **68,494 skill pages, 467 agents, 10,790 MCP servers, and 207 cataloged harnesses**, and recommends the
 right execution bundle on the fly. The live execution bundle is skills,
 agents, and MCP servers only; custom/API/local model users get a separate