Perplexity Search
escapeWu/perplexity-ai
Searches the live web with citations through perplexity-mcp v2 tools or a bundled Python REST client, with focused ask, deep research and detached tasks.
Evaluate LLM model quality using BERTScore, ROUGE, Perplexity, and Text Readability metrics on OCI AI Quick Actions (AQUA).
Install Aqua Evaluation
$ npx skills add oracle/accelerated-data-science --skill aqua-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install oracle/accelerated-data-science aqua-evaluation --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-evaluation .claude/skills/aqua-evaluation && 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-evaluation" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-evaluation into .claude/skills/aqua-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-evaluation", 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-evaluationType 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-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install oracle/accelerated-data-science aqua-evaluation --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-evaluation .agents/skills/aqua-evaluation && 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-evaluation" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-evaluation into .agents/skills/aqua-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-evaluation", 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-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install oracle/accelerated-data-science aqua-evaluation --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-evaluation .cursor/skills/aqua-evaluation && 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-evaluation" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-evaluation into .cursor/skills/aqua-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-evaluation", 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-evaluation--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-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install oracle/accelerated-data-science aqua-evaluation --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-evaluation .gemini/skills/aqua-evaluation && 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-evaluation" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-evaluation into .gemini/skills/aqua-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-evaluation", 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-evaluationInstalls 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-evaluation -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-evaluation .github/skills/aqua-evaluation && 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-evaluation" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-evaluation into .github/skills/aqua-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-evaluation", 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-evaluation -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-evaluation --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-evaluation .opencode/skills/aqua-evaluation && 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-evaluation" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-evaluation into .opencode/skills/aqua-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-evaluation", 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-evaluation- GitHub stars
- 125
- Token cost
- ~1.6k tokens
- SKILL.md length
- 295 words
- Files
- 3
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- UPL-1.0
At a glance
Evaluate LLM model quality using BERTScore, ROUGE, Perplexity, and Text Readability metrics on OCI AI Quick Actions (AQUA).
- Wants to evaluate
- SKILL.md covers Supported Metrics, Dataset Format, Python SDK Usage and CLI Usage, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Benchmark a model
What it does
Aqua Evaluation is an agent skill from oracle/accelerated-data-science, published by the product's own GitHub organization. Evaluate LLM model quality using BERTScore, ROUGE, Perplexity, and Text Readability metrics on OCI AI Quick Actions (AQUA). Covers dataset preparation, evaluation job creation, and report interpretation. Triggered when user wants to evaluate or benchmark a model.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files.
It sits in Writing & Content, covering Plain language and style rules and Web search. It works with Perplexity and Python. 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 evaluate
- Benchmark a model
Example prompts
- “/aqua-evaluation”
Requirements
- Python 3
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
No scripts in the folder and no shell commands in SKILL.md (its code samples are python, bash and jsonl).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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 Evaluation loads about 1.6k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 295 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 295 words (~1,641 tokens).
“Use this skill when the user wants to evaluate LLM models on OCI Data Science using AI Quick Actions.”
- name
- aqua-evaluation
- user-invocable
- true
- disable-model-invocation
- false
Files
SKILL.md and 2 other files in skills/aqua-evaluation of oracle/accelerated-data-science.
- SKILL.md
- examples/evaluation-sample-no-sys-message.jsonl
- examples/evaluation-sample-with-sys-message.jsonl
Open the folder on GitHubat commit 0418ab4
Compare with similar skills
Aqua Evaluation 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 Evaluation this skilloracle/accelerated-data-science | 125 | — | ~1.6k | Automated safety check: Pass | UPL-1.0 | |
| Perplexity SearchescapeWu/perplexity-ai | 169 | — | ~1.8k | Automated safety check: Pass | MIT | |
| SEO Auditshadcn-labs/agentcn | 486 | — | ~598 | Automated safety check: Pass | MIT | |
| Literature Searchgaasher/Agent-Loop-Skills | 174 | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Content Researchnicepkg/ai-workflow | 285 | — | ~3.7k | Automated safety check: Pass | MIT | |
| Python Style Guideaiskillstore/marketplace | 430 | — | ~2.8k | Automated safety check: Pass | Custom licence |
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Questions about Aqua Evaluation
What does Aqua Evaluation do?
Evaluate LLM model quality using BERTScore, ROUGE, Perplexity, and Text Readability metrics on OCI AI Quick Actions (AQUA). Aqua Evaluation is an agent skill from oracle/accelerated-data-science, published by the product's own GitHub organization. Evaluate LLM model quality using BERTScore, ROUGE, Perplexity, and Text Readability metrics on OCI AI Quick Actions (AQUA).
When should I use Aqua Evaluation?
Aqua Evaluation fits situations like: wants to evaluate; benchmark a model.
How do I install Aqua Evaluation in Claude Code?
Run `npx skills add oracle/accelerated-data-science --skill aqua-evaluation -a claude-code`. Or copy the skill folder (skills/aqua-evaluation in oracle/accelerated-data-science) into .claude/skills/aqua-evaluation in your project. Claude Code loads it when a task matches its description.
How do I install Aqua Evaluation in Codex?
Run `npx skills add oracle/accelerated-data-science --skill aqua-evaluation -a codex`. Or copy the skill folder (skills/aqua-evaluation in oracle/accelerated-data-science) into .agents/skills/aqua-evaluation in your project. Codex loads it when a task matches its description.
Can I use Aqua Evaluation 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-evaluation -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-evaluation, .gemini/skills/aqua-evaluation, .github/skills/aqua-evaluation and .opencode/skills/aqua-evaluation in your project.
What does Aqua Evaluation need to run?
SKILL.md names no scripts, command-line tools or credentials: Aqua Evaluation is instructions for the agent only. Our summary lists: Python 3.
Does Aqua Evaluation access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Aqua Evaluation 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 Evaluation use?
Aqua Evaluation is published under the UPL-1.0 licence (the repository's licence).
How many tokens does Aqua Evaluation use?
About 1.6k tokens (SKILL.md is roughly 6.6k 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 Evaluation?
Skills that share tags, products or a category with Aqua Evaluation: Perplexity Search (escapeWu/perplexity-ai, 169 stars), SEO Audit (shadcn-labs/agentcn, 486 stars), Literature Search (gaasher/Agent-Loop-Skills, 174 stars) and Content Research (nicepkg/ai-workflow, 285 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aqua Evaluation?
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.