Arize Evaluator
github/awesome-copilot
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and…
A skill your agent uses when evaluating whether a skill belongs in a library.
$ npx skills add MoizIbnYousaf/ai-agent-skills --skill review-a-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MoizIbnYousaf/ai-agent-skills review-a-skill --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/MoizIbnYousaf/ai-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/review-a-skill .claude/skills/review-a-skill && 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 "review-a-skill" agent skill from https://github.com/MoizIbnYousaf/ai-agent-skills/tree/main/skills/review-a-skill into .claude/skills/review-a-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-a-skill", 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/MoizIbnYousaf/ai-agent-skills/tree/main/skills/review-a-skillType 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 MoizIbnYousaf/ai-agent-skills --skill review-a-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MoizIbnYousaf/ai-agent-skills review-a-skill --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MoizIbnYousaf/ai-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/review-a-skill .agents/skills/review-a-skill && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "review-a-skill" agent skill from https://github.com/MoizIbnYousaf/ai-agent-skills/tree/main/skills/review-a-skill into .agents/skills/review-a-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-a-skill", 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 MoizIbnYousaf/ai-agent-skills --skill review-a-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MoizIbnYousaf/ai-agent-skills review-a-skill --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MoizIbnYousaf/ai-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/review-a-skill .cursor/skills/review-a-skill && 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 "review-a-skill" agent skill from https://github.com/MoizIbnYousaf/ai-agent-skills/tree/main/skills/review-a-skill into .cursor/skills/review-a-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-a-skill", 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/MoizIbnYousaf/ai-agent-skills.git --path skills/review-a-skill--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 MoizIbnYousaf/ai-agent-skills --skill review-a-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MoizIbnYousaf/ai-agent-skills review-a-skill --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MoizIbnYousaf/ai-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/review-a-skill .gemini/skills/review-a-skill && 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 "review-a-skill" agent skill from https://github.com/MoizIbnYousaf/ai-agent-skills/tree/main/skills/review-a-skill into .gemini/skills/review-a-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-a-skill", 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 MoizIbnYousaf/ai-agent-skills review-a-skillInstalls 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 MoizIbnYousaf/ai-agent-skills --skill review-a-skill -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MoizIbnYousaf/ai-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/review-a-skill .github/skills/review-a-skill && 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 "review-a-skill" agent skill from https://github.com/MoizIbnYousaf/ai-agent-skills/tree/main/skills/review-a-skill into .github/skills/review-a-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-a-skill", 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 MoizIbnYousaf/ai-agent-skills --skill review-a-skill -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MoizIbnYousaf/ai-agent-skills review-a-skill --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MoizIbnYousaf/ai-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/review-a-skill .opencode/skills/review-a-skill && 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 "review-a-skill" agent skill from https://github.com/MoizIbnYousaf/ai-agent-skills/tree/main/skills/review-a-skill into .opencode/skills/review-a-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-a-skill", 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.
review-a-skillA skill your agent uses when evaluating whether a skill belongs in a library.
Review A Skill is an agent skill from MoizIbnYousaf/ai-agent-skills. Use when evaluating whether a skill belongs in a library. Preview content, check frontmatter, validate structure, and decide whether to keep, curate, or remove.
Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Universal skill installer and package manager for AI coding agents. One command, 12+ runtimes. npx ai-agent-skills. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 6d95c78. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Review A Skill loads about 576 tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 206 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.
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.
The full file from MoizIbnYousaf/ai-agent-skills at commit 6d95c78, republished under its MIT licence (© MoizIbnYousaf). 206 words, ~576 tokens.
.claude/skills/review-a-skill/SKILL.md (or your agent's skills folder).Evaluate a single skill's quality, relevance, and safety before it enters or stays in a library.
--format json for machine-readable output in automated pipelines.--fields to limit output size when inspecting catalog entries.--dry-run before curating or removing a skill.info --format json dependencies.npx ai-agent-skills preview <skill-name>The preview command sanitizes content — if it flags sanitization, investigate before proceeding.
npx ai-agent-skills info <skill-name> --format json --fields name,description,tags,collections,dependenciesnpx ai-agent-skills validate <skill-name>npx ai-agent-skills curate <skill-name> --notes "Reviewed: solid patterns" --verify --dry-run
npx ai-agent-skills curate <skill-name> --notes "Reviewed: solid patterns" --verifynpx ai-agent-skills curate <skill-name> --remove --dry-run
npx ai-agent-skills curate <skill-name> --remove --yespreview command only works for vendored (house) skills. Upstream skills show description and whyHere only.validate command checks frontmatter structure but not content quality — that requires human or agent judgment.dependencies.usedBy first.© MoizIbnYousaf, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/review-a-skill of MoizIbnYousaf/ai-agent-skills.
Open the folder on GitHubat commit 6d95c78
Review A Skill 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 |
|---|---|---|---|---|---|---|
| Review A Skill this skillMoizIbnYousaf/ai-agent-skills | 1.1k | — | ~576 | Automated safety check: Pass | MIT | |
| Arize Evaluatorgithub/awesome-copilot | 40k | 1 repos | ~8.1k | Automated safety check: Notes | MIT | |
| LLM Evaluationdavila7/claude-code-templates | 33k | 12 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Agent Evaluationsickn33/agentic-awesome-skills | 47k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| EvaluatorsArize-ai/phoenix | 12k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Agent Evaluation Reportingsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.1k | Automated safety check: Pass | MIT |
github/awesome-copilot
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and…
davila7/claude-code-templates
Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.
sickn33/agentic-awesome-skills
Evaluate agent behavior with versioned cases and explicit verifiers.
Arize-ai/phoenix
Author or refine a Phoenix evaluator — code or LLM-as-a-judge — that scores a run's output.
sickn33/agentic-awesome-skills
A skill your agent uses when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.
PostHog/posthog
Author continuously-running online evaluations in PostHog AI observability, grounded in real failure modes you've identified.
MoizIbnYousaf/ai-agent-skills
Database schema design, optimization, and migration patterns for PostgreSQL, MySQL, and NoSQL databases.
MoizIbnYousaf/ai-agent-skills
Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration.
MoizIbnYousaf/ai-agent-skills
A skill your agent uses when checking the overall health of a skills library.
MoizIbnYousaf/ai-agent-skills
Backend API design, database architecture, microservices patterns, and test-driven development.
MoizIbnYousaf/ai-agent-skills
A skill your agent uses when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing.
MoizIbnYousaf/ai-agent-skills
Writing effective code documentation - API docs, README files, inline comments, and technical guides.
A skill your agent uses when evaluating whether a skill belongs in a library. Review A Skill is an agent skill from MoizIbnYousaf/ai-agent-skills. Use when evaluating whether a skill belongs in a library.
Review A Skill fits situations like: evaluating whether a skill belongs in a library.
Run `npx skills add MoizIbnYousaf/ai-agent-skills --skill review-a-skill -a claude-code`. Or copy the skill folder (skills/review-a-skill in MoizIbnYousaf/ai-agent-skills) into .claude/skills/review-a-skill in your project. Claude Code loads it when a task matches its description.
Run `npx skills add MoizIbnYousaf/ai-agent-skills --skill review-a-skill -a codex`. Or copy the skill folder (skills/review-a-skill in MoizIbnYousaf/ai-agent-skills) into .agents/skills/review-a-skill in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add MoizIbnYousaf/ai-agent-skills --skill review-a-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-a-skill, .gemini/skills/review-a-skill, .github/skills/review-a-skill and .opencode/skills/review-a-skill in your project.
Going by SKILL.md and its folder, Review A Skill needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Review A Skill is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 576 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Review A Skill: Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 33k stars), Agent Evaluation (sickn33/agentic-awesome-skills, 47k stars) and Evaluators (Arize-ai/phoenix, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
MoizIbnYousaf (a GitHub user) maintains it in MoizIbnYousaf/ai-agent-skills, which has 1,149 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 21, 2026.
Source: MoizIbnYousaf/ai-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.