vLLM Model Serving
Orchestra-Research/AI-Research-SKILLs
Deploys LLMs with vLLM for high-throughput serving, covering the OpenAI-compatible server, offline batch inference, monitoring and a Docker rollout.
Set up Prometheus and Grafana monitoring for AQUA vLLM model deployments on OCI.
Install Aqua Metrics
$ npx skills add oracle/accelerated-data-science --skill aqua-metrics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install oracle/accelerated-data-science aqua-metrics --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/oracle/accelerated-data-science.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/aqua-metrics .claude/skills/aqua-metrics && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "aqua-metrics" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-metrics into .claude/skills/aqua-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-metrics", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-metricsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add oracle/accelerated-data-science --skill aqua-metrics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install oracle/accelerated-data-science aqua-metrics --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oracle/accelerated-data-science.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/aqua-metrics .agents/skills/aqua-metrics && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aqua-metrics" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-metrics into .agents/skills/aqua-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-metrics", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add oracle/accelerated-data-science --skill aqua-metrics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install oracle/accelerated-data-science aqua-metrics --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oracle/accelerated-data-science.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/aqua-metrics .cursor/skills/aqua-metrics && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "aqua-metrics" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-metrics into .cursor/skills/aqua-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-metrics", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/oracle/accelerated-data-science.git --path skills/aqua-metrics--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add oracle/accelerated-data-science --skill aqua-metrics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install oracle/accelerated-data-science aqua-metrics --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oracle/accelerated-data-science.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/aqua-metrics .gemini/skills/aqua-metrics && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "aqua-metrics" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-metrics into .gemini/skills/aqua-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-metrics", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install oracle/accelerated-data-science aqua-metricsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add oracle/accelerated-data-science --skill aqua-metrics -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/oracle/accelerated-data-science.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/aqua-metrics .github/skills/aqua-metrics && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "aqua-metrics" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-metrics into .github/skills/aqua-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-metrics", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add oracle/accelerated-data-science --skill aqua-metrics -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install oracle/accelerated-data-science aqua-metrics --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oracle/accelerated-data-science.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/aqua-metrics .opencode/skills/aqua-metrics && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "aqua-metrics" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-metrics into .opencode/skills/aqua-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-metrics", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
aqua-metrics- GitHub stars
- 125
- Token cost
- ~1.5k tokens
- SKILL.md length
- 364 words
- Files
- 1
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- UPL-1.0
At a glance
Set up Prometheus and Grafana monitoring for AQUA vLLM model deployments on OCI.
- Works in 4 steps: Clone the Monitoring Stack → Build and Push Images to OCIR → Create the OCI Container Instance → …
- Wants to monitor LLM deployments
- SKILL.md covers Available Metrics (vLLM…, Architecture, Step 1: Clone the Monitoring… and Step 2: Build and Push Images…, plus 4 more sections
- Calls docker and git; reaches github.com
What it does
Aqua Metrics is an agent skill from oracle/accelerated-data-science, published by the product's own GitHub organization. Set up Prometheus and Grafana monitoring for AQUA vLLM model deployments on OCI. Covers the signing proxy, container registry setup, OCI Container Instance deployment, and PromQL dashboards. Triggered when user wants to monitor LLM deployments, view TTFT/latency/throughput metrics, or set up observability for AQUA.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud, covering Monitoring and alerting, Deployment and LLM inference and serving. It works with Prometheus, Grafana, vLLM and Docker. The repository describes itself as: ADS is the Oracle Data Science Cloud Service's python SDK supporting, model ops (train/eval/deploy), along with running workloads on Jobs and Pipeline resources.
When your agent uses it
- Wants to monitor LLM deployments
- View TTFT/latency/throughput metrics
- Set up observability for AQUA
Example prompts
- “/aqua-metrics”
Requirements
- Docker
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- Clone the Monitoring Stack
- Build and Push Images to OCIR
- Create the OCI Container Instance
- Configure Grafana
What it can do on your machine
Read from SKILL.md and the folder at commit 0418ab4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
dockergit
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
github.com
Also links to:
docs.vllm.aigrafana.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Aqua Metrics loads about 1.5k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 364 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (UPL-1.0) doesn't allow us to republish the file, so here is its outline and opening line. It has 364 words (~1,504 tokens).
“Monitor vLLM model deployments with Prometheus + Grafana hosted on an OCI Container Instance. The monitoring stack consists of:”
- name
- aqua-metrics
- user-invocable
- true
- disable-model-invocation
- false
Files
Just SKILL.md in skills/aqua-metrics of oracle/accelerated-data-science.
Open the folder on GitHubat commit 0418ab4
Compare with similar skills
Aqua Metrics next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Aqua Metrics this skilloracle/accelerated-data-science | 125 | — | ~1.5k | Automated safety check: Pass | UPL-1.0 | |
| vLLM Model ServingOrchestra-Research/AI-Research-SKILLs | 13k | 5 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Dashboard Previewm4r1k/Eneru | 149 | — | ~1.4k | Automated safety check: Pass | MIT | |
| ML AIgrafana/skills | 282 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| SageMaker Production Defaultshuggingface/skills | 11k | 1 repos | ~6.9k | Automated safety check: Pass | Apache-2.0 | |
| Graftm4r1k/Eneru | 149 | 1 repos | ~2.3k | Automated safety check: Pass | MIT |
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Mandatory pre-release deep review for minor/major releases (X.Y.0 / X.0.0).
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Related
Works with
Categories
Questions about Aqua Metrics
What does Aqua Metrics do?
Set up Prometheus and Grafana monitoring for AQUA vLLM model deployments on OCI. Aqua Metrics is an agent skill from oracle/accelerated-data-science, published by the product's own GitHub organization. Set up Prometheus and Grafana monitoring for AQUA vLLM model deployments on OCI.
When should I use Aqua Metrics?
Aqua Metrics fits situations like: wants to monitor LLM deployments; view TTFT/latency/throughput metrics; set up observability for AQUA.
How do I install Aqua Metrics in Claude Code?
Run `npx skills add oracle/accelerated-data-science --skill aqua-metrics -a claude-code`. Or copy the skill folder (skills/aqua-metrics in oracle/accelerated-data-science) into .claude/skills/aqua-metrics in your project. Claude Code loads it when a task matches its description.
How do I install Aqua Metrics in Codex?
Run `npx skills add oracle/accelerated-data-science --skill aqua-metrics -a codex`. Or copy the skill folder (skills/aqua-metrics in oracle/accelerated-data-science) into .agents/skills/aqua-metrics in your project. Codex loads it when a task matches its description.
Can I use Aqua Metrics in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add oracle/accelerated-data-science --skill aqua-metrics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aqua-metrics, .gemini/skills/aqua-metrics, .github/skills/aqua-metrics and .opencode/skills/aqua-metrics in your project.
What does Aqua Metrics need to run?
Going by SKILL.md and its folder, Aqua Metrics needs the command-line tools its instructions call (docker and git). Our summary lists: Docker.
Does Aqua Metrics access the network?
SKILL.md names 3 domains. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. As links in the text: docs.vllm.ai and grafana.com. This is read from the text; nothing was executed.
Is Aqua Metrics safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Aqua Metrics use?
Aqua Metrics is published under the UPL-1.0 licence (the repository's licence).
How many tokens does Aqua Metrics use?
About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Aqua Metrics?
Skills that share tags, products or a category with Aqua Metrics: vLLM Model Serving (Orchestra-Research/AI-Research-SKILLs, 13k stars), Dashboard Preview (m4r1k/Eneru, 149 stars), ML AI (grafana/skills, 282 stars) and SageMaker Production Defaults (huggingface/skills, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aqua Metrics?
oracle (a GitHub organization, an official publisher) maintains it in oracle/accelerated-data-science, which has 125 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 3, 2026.
Source: oracle/accelerated-data-science on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.