unified-ai-gateway

npx skills add sickn33/agentic-awesome-skills --skill unified-ai-gateway --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# Unified AI Gateway ## Overview Use the official `unified-ai-system` MCP server to inspect and exercise a local AI gateway without provider credentials. This skill file provides operating guidance; it does not install the server or change Codex configuration by itself. The official Codex plugin bundles the MCP definition, while skill-only installations require the manual setup below. ## Prerequisites And Setup 1. Confirm that Codex CLI and Docker are installed and Docker is running. 2. If the nine tools are already visible, skip setup and do not register a duplicate server. 3. Explain the first stage: it downloads one reviewed platform from the immutable `0.4.0` multi-platform index into Docker's cache, inspects its metadata and layer history, creates but never starts a temporary container, exports its root filesystem, removes that temporary container, and writes an inspection inventory to a temporary directory. The reviewed platforms are linux/amd64 and linux/arm64. Obtain explicit user approval for those download and inspection changes only. 4. After that first approval, pull the reviewed platform manifest and complete the inspection. Do not execute the image or register it yet:

docker pull --platform "$PLATFORM" "$IMAGE"
docker image history --no-trunc "$IMAGE" > "$REVIEW_DIR/image-history.txt"
docker export --output "$REVIEW_DIR/rootfs.tar" "$REVIEW_CONTAINER"
docker rm "$REVIEW_CONTAINER"
tar -tf "$REVIEW_DIR/rootfs.tar" > "$REVIEW_DIR/rootfs-files.txt"
mkdir -p "$REVIEW_DIR/rootfs"
tar --same-permissions -xf "$REVIEW_DIR/rootfs.tar" -C "$REVIEW_DIR/rootfs"
find "$REVIEW_DIR/rootfs/app" -type f -print > "$REVIEW_DIR/app-files.txt"
while IFS= read -r -d '' APP_LINK; do
ls -ld -- "$APP_LINK" >> "$REVIEW_DIR/app-links.txt"