unified-ai-gateway – skill Agent & Tự động hóa cho agent AI

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.

Version Note

These are two different things and they are not equal today:

• Historical referenced release: v0.8.0. It declares and ships fifteen tool names, and the

[60-second demo command](https://github.com/happy520ai/unified-ai-system#try-it-in-60-seconds)

in the README names that version. The upstream tools/verify-image-roster.mjs is not bundled; retrieve and review it before any use. Do not execute it merely to establish source review.

• Reviewed and pinned below: 0.4.9. The inspection procedure in this file

pins that image's recorded digests because 0.4.9 is the newest version with a

completed [content review](https://github.com/happy520ai/unified-ai-system/blob/8561ec5c9e9d1ecf499c1be5aba0ba3720219074/docs/security/mcp-image-review-0.4.9.md).

It carries 9 of the fifteen names: the model-backed enhancement, knowledge

retrieval and workflow execution tools arrived at 0.5.0, and the three

governance tools at 0.8.0.

Do not substitute a mutable tag for a pinned digest, and do not move the pin to a

newer version just because this file looks out of date: a new content review is

required first, and the pinned identity is only as good as the review that backs it.

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 0.4.9 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:

IMAGE='ghcr.io/happy520ai/unified-ai-system/mcp-server@sha256:751a0d32acd2d6b1da6ad9ac67987fbd1ff36ce26b7160014d8605f18b7907b3'
PLATFORM='linux/amd64' # Use linux/arm64 only on a reviewed ARM64 engine.
umask 077
REVIEW_DIR="$(mktemp -d)"

docker pull --platform "$PLATFORM" "$IMAGE"
docker image inspect "$IMAGE" --format 'Id={{.Id}} OS={{.Os}} Architecture={{.Architecture}} User={{json .Config.User}} Entrypoint={{json .Config.Entrypoint}} Cmd={{json .Config.Cmd}} Labels={{json .Config.Labels}}'
docker image history --no-trunc "$IMAGE" > "$REVIEW_DIR/image-history.txt"

REVIEW_CONTAINER="$(docker create --platform "$PLATFORM" --pull never --entrypoint /bin/true "$IMAGE")"
docker export --output "$REVIEW_DIR/rootfs.tar" "$REVIEW_CONTAINER"
docker rm "$REVIEW_CONTAINER"

tar -tf "$REVIEW_DIR/rootfs.tar" > "$REVIEW_DIR/rootfs-files.txt"
mkdir -p "$REVIEW_DIR/rootfs"
# STOP before extraction unless a reviewed safe extractor is available.
exit 1 # Deliberate gate: run later inventory only after separately validated extraction.
# Reject absolute/traversal paths, device/FIFO entries, link escapes and duplicate entries; bound expanded size/count.
# Extract as an unprivileged user, never preserve owner/setuid permissions, into this private empty directory.
# The remaining commands require that validated extraction; ordinary tar -xf is not the safety check.
find "$REVIEW_DIR/rootfs/app" -type f -print > "$REVIEW_DIR/app-files.txt"
: > "$REVIEW_DIR/app-links.txt"
while IFS= read -r -d '' APP_LINK; do
  ls -ld -- "$APP_LINK" >> "$REVIEW_DIR/app-links.txt"
done < <(find "$REVIEW_DIR/rootfs/app" \( -type l -o -type f -links +1 \) -print0)
: > "$REVIEW_DIR/native-binaries.sha256"
while IFS= read -r -d '' NATIVE_BINARY; do
  sha256sum -- "$NATIVE_BINARY" >> "$REVIEW_DIR/native-binaries.sha256"
done < <(find "$REVIEW_DIR/rootfs/app" -type f -name '*.node' -print0)
find "$REVIEW_DIR/rootfs" -type f \( -perm -0100 -o -perm -0010 -o -perm -0001 \) -print > "$REVIEW_DIR/executable-files.txt"
find "$REVIEW_DIR/rootfs" -type f \( -perm -4000 -o -perm -2000 \) -print > "$REVIEW_DIR/suid-sgid-files.txt"
find "$REVIEW_DIR/rootfs/app" -type f \( -name '.env' -o -name '.env.*' -o -name '*.pem' -o -name '*.key' -o -name '*.p12' -o -name '*.pfx' -o -path '*/.ssh/id_*' \) -print > "$REVIEW_DIR/credential-like-files.txt"
find "$REVIEW_DIR/rootfs/app" -type f -name 'package.json' \
  -exec grep -nHE '"(preinstall|install|postinstall|prepare|prepack|postpack)"' -- {} + \
  > "$REVIEW_DIR/lifecycle-hooks.txt"
find \
  "$REVIEW_DIR/rootfs/app/packages/mcp-server/src" \
  "$REVIEW_DIR/rootfs/app/packages/shared-sdk/src" \
  -type f \
  -exec grep -nHE 'child_process|spawn\(|fetch\(|AI_GATEWAY_MCP_URL|process\.env|writeFile|appendFile|unlink|rm\(' -- {} + \
  > "$REVIEW_DIR/runtime-sensitive-code.txt"

If sha256sum is unavailable, use the platform's SHA-256 utility and preserve

the same report. Keep the review directory until the report is accepted; its

delete only the task-owned review directory when cleanup is covered by the authorized inspection; otherwise preserve it for review.

5. Inventories/pattern scans are navigation aids only. Read all application source, entrypoints, dependency/lifecycle code and security-relevant configuration, and compare the actual immutable image/source identities before claiming content review. Do not activate from grep output alone. Read every generated inventory and report the inspection before proceeding.

Compare it with the versioned

[image content review](https://github.com/happy520ai/unified-ai-system/blob/8561ec5c9e9d1ecf499c1be5aba0ba3720219074/docs/security/mcp-image-review-0.4.9.md).

Require OCI index digest

sha256:751a0d32acd2d6b1da6ad9ac67987fbd1ff36ce26b7160014d8605f18b7907b3.

For linux/amd64, require manifest digest

sha256:ff6cf988b01d5fb2e97aabe8e952f6a303dcffe650df5b4dcb0ba3d51ee88c06

and config digest

sha256:0c2c0c7b9c7fb7ca24c73d9a903bcf719b079a0b285a3a3269ee3ae059905e97.

For linux/arm64, require manifest digest

sha256:90318b9e373820f863c1c1addc759be4b5ce186f2ecb6232ee502fad7c6613de

and config digest

sha256:c2047eb63fdc42bcb16d53fca17d78a4a6fb355cf6320b9aa6688e594371054f.

Require source https://github.com/happy520ai/unified-ai-system, revision

342a47313927870bcc696be13c9e5fb922062dac, version 0.4.9, license

Apache-2.0, entrypoint docker-entrypoint.sh, and command

node packages/mcp-server/src/index.js.

Report these reviewed risks explicitly: the image uses the default root

user; includes Debian shell/package utilities and 11 base-image SUID/SGID

files; contains 522 internal pnpm links, three native Node binaries, and eight

lifecycle-hook declarations; and starts a child gateway with loopback HTTP.

The optional AI_GATEWAY_MCP_URL can make an HTTP or HTTPS connection only

when explicitly passed. The registered command below passes no host files,

environment variables, or ports and disables container networking. Stop on

any mismatch, unexpected link, credential-like file, native binary, hook,

privileged file, or sensitive-code behavior.

6. Explain the second stage: it persists a Codex MCP configuration and permits

Codex to launch the inspected image in a later task. Obtain a separate

explicit approval for registration and activation; the download approval

does not carry over.

7. After that second approval, register the reviewed platform digest with

pulling, container networking, Linux capabilities, and privilege escalation

disabled, then inspect the stored configuration:

IMAGE='ghcr.io/happy520ai/unified-ai-system/mcp-server@sha256:751a0d32acd2d6b1da6ad9ac67987fbd1ff36ce26b7160014d8605f18b7907b3'
PLATFORM='linux/amd64' # Match the reviewed platform inspected above.
codex mcp add unified-ai-system -- docker run --rm -i --pull never --platform "$PLATFORM" --network none --cap-drop ALL --security-opt no-new-privileges "$IMAGE"
codex mcp get unified-ai-system --json

8. Restart Codex or open a new task, then use /mcp verbose to confirm that all

nine tools are available - the pinned 0.4.9 image ships nine of the fifteen

names the current release declares. Remove the registration when it is no longer

wanted:

codex mcp remove unified-ai-system

Removing the registration does not remove the pulled image from Docker's

cache. Treat image-cache deletion as a separate host-state change and obtain

approval before doing it.

When to Use This Skill

• Use when a user ask

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