Agent Observability Experiment Bootstrap
datadog-labs/agent-skills
Bootstrap a reproducible LLM Observability experiment through the Python ddtrace SDK or the Node dd-trace SDK.
Use this repo skill when a task involves the Google Agents CLI (google-agents-cli / agents-cli) lifecycle for ADK agent projects: install/setup, requirements planning, scaffolding, ADK code…
Install Google Agents CLI
$ npx skills add VectorSpaceLab/AREX-Skill --skill google-agents-cli -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill google-agents-cli --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/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/google-agents-cli .claude/skills/google-agents-cli && 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 "google-agents-cli" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/google-agents-cli into .claude/skills/google-agents-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-agents-cli", 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/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/google-agents-cliType 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 VectorSpaceLab/AREX-Skill --skill google-agents-cli -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill google-agents-cli --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/google-agents-cli .agents/skills/google-agents-cli && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "google-agents-cli" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/google-agents-cli into .agents/skills/google-agents-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-agents-cli", 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 VectorSpaceLab/AREX-Skill --skill google-agents-cli -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill google-agents-cli --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/google-agents-cli .cursor/skills/google-agents-cli && 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 "google-agents-cli" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/google-agents-cli into .cursor/skills/google-agents-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-agents-cli", 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/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/google-agents-cli--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 VectorSpaceLab/AREX-Skill --skill google-agents-cli -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill google-agents-cli --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/google-agents-cli .gemini/skills/google-agents-cli && 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 "google-agents-cli" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/google-agents-cli into .gemini/skills/google-agents-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-agents-cli", 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 VectorSpaceLab/AREX-Skill google-agents-cliInstalls 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 VectorSpaceLab/AREX-Skill --skill google-agents-cli -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/google-agents-cli .github/skills/google-agents-cli && 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 "google-agents-cli" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/google-agents-cli into .github/skills/google-agents-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-agents-cli", 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 VectorSpaceLab/AREX-Skill --skill google-agents-cli -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill google-agents-cli --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/google-agents-cli .opencode/skills/google-agents-cli && 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 "google-agents-cli" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/google-agents-cli into .opencode/skills/google-agents-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-agents-cli", 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
google-agents-cli- GitHub stars
- 328
- Token cost
- ~1k tokens
- SKILL.md length
- 399 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 159
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Use this repo skill when a task involves the Google Agents CLI (google-agents-cli / agents-cli) lifecycle for ADK agent projects: install/setup, requirements planning, scaffolding, ADK code…
- Works in 4 steps: Verify the CLI is available: agents-cli… → If the user is planning a new agent,… → If the user names a command family,… → …
- Tasks that involve Project scaffolding
- SKILL.md covers Start Here, Route by Task, Common Command Aliases and Installation and Runtime Checks, plus 2 more sections
- Runs Python scripts from its folder; calls uv
What it does
Google Agents CLI is an agent skill from VectorSpaceLab/AREX-Skill. Use this repo skill when a task involves the Google Agents CLI (google-agents-cli / agents-cli) lifecycle for ADK agent projects: install/setup, requirements planning, scaffolding, ADK code patterns, evaluation, deployment, Gemini Enterprise publication, and observability.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/command-surface.md`, `references/repo-provenance.md` and `references/repo-routing-metadata.json`).
It sits in DevOps & Cloud, covering Project scaffolding and Observability. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Project scaffolding
- Tasks that involve Observability
Example prompts
- “/google-agents-cli”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Verify the CLI is available: agents-cli --version and agents-cli --help.
- If the user is planning a new agent, start with sub-skills/workflow/SKILL.md before any scaffold command.
- If the user names a command family, route directly using the table below.
- For command discovery without the source checkout, use scripts/inspect_cli_tree.py after installing google-agents-cli.
What it can do on your machine
Read from SKILL.md and the folder at commit ac3fe1a. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
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
Google Agents CLI loads about 1k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 399 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); the scripts in this folder are not scanned.
SKILL.md
The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its Apache-2.0 licence (© VectorSpaceLab). 399 words, ~1,017 tokens.
Download SKILL.mdSave it as
.claude/skills/google-agents-cli/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- google-agents-cli
- description
- Use this repo skill when a task involves the Google Agents CLI (google-agents-cli / agents-cli) lifecycle for ADK agent projects: install/setup, requirements planning, scaffolding, ADK code patterns, evaluation, deployment, Gemini Enterprise publication, and observability.
- metadata.disco-role
- operating
- metadata.author
- metadata.license
- Apache-2.0
- metadata.version
- 1.3.1
- disable-model-invocation
- true
- license
- Apache 2.0
Google Agents CLI Repo Skill
Use this skill for the google-agents-cli package and its agents-cli command. It is a router for the repository-specific operating graph; load the narrow sub-skill before acting.
Start Here
- Verify the CLI is available:
agents-cli --versionandagents-cli --help. - If the user is planning a new agent, start with
sub-skills/workflow/SKILL.mdbefore any scaffold command. - If the user names a command family, route directly using the table below.
- For command discovery without the source checkout, use
scripts/inspect_cli_tree.pyafter installinggoogle-agents-cli.
Route by Task
| User need | Read |
|---|---|
| End-to-end ADK agent lifecycle, requirements clarification, safe coding-agent workflow, command map, project rules | sub-skills/workflow/SKILL.md |
| Create, enhance, or upgrade a project; choose prototype/deployment/session/CI-CD flags | sub-skills/scaffold/SKILL.md |
| Write or change Python ADK agent code, tools, callbacks, state, A2A, trigger sources, or clone-and-study recipes | sub-skills/adk-code/SKILL.md |
| Generate/grade/analyze/compare/optimize evals, datasets, metrics, LLM-as-judge, user simulation | sub-skills/eval/SKILL.md |
| Deploy to Agent Runtime, Cloud Run, or GKE; provision infra; configure CI/CD; test deployed endpoints; troubleshoot deploy failures | sub-skills/deploy/SKILL.md |
| Register a deployed agent with Gemini Enterprise, choose ADK vs A2A registration, or manage Agent Registry records | sub-skills/publish/SKILL.md |
| Configure/debug traces, logging, prompt-response logging, BigQuery Agent Analytics, or telemetry | sub-skills/observability/SKILL.md |
Common Command Aliases
agents-cli createis an alias foragents-cli scaffold create.agents-cli updatereinstalls bundled Agents CLI skills into detected coding-agent targets.agents-cli data-ingestionis retained only as a removed-command stub; RAG/data ingestion is now a clone-and-study recipe, not a CLI flag family.agents-cli infois the quickest way to inspect project configuration from inside a scaffolded project.
For a full command tree and representative verification commands, read references/command-surface.md.
Show full SKILL.md (139 more words)Show less
Installation and Runtime Checks
Recommended install:
uv tool install google-agents-cli
agents-cli --version
agents-cli --helpIf agents-cli is unavailable, read references/troubleshooting.md and the setup section in sub-skills/workflow/SKILL.md before making project changes.
Operating Rules
- Do not invent removed scaffold flags such as
--datastoreor anagentic_ragtemplate; use recipe study throughsub-skills/adk-code/SKILL.md. - Do not hand-write the A2A serving surface for scaffolded Python ADK projects; the scaffolded
adktemplate already wires A2A into the FastAPI app. - Do not deploy, publish, create cloud resources, initialize git remotes, or push code without explicit user approval and required credentials.
- Use evaluations (
sub-skills/eval/SKILL.md) for LLM response quality; do not rely on brittle pytest assertions over model text. - Treat this repo skill as public operating guidance. It does not require the original source checkout once installed.
Repo Metadata
- Provenance and evidence baseline:
references/repo-provenance.md. - Router import metadata:
references/repo-routing-metadata.json. - Cross-cutting install, auth, and workflow failure recovery:
references/troubleshooting.md.
© VectorSpaceLab, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (scripts, references) in skills/repositories/repo-skills/google-agents-cli of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/command-surface.md
- references/repo-provenance.md
- references/repo-routing-metadata.json
- references/troubleshooting.md
- scripts/inspect_cli_tree.py
- sub-skills
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Google Agents CLI 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 |
|---|---|---|---|---|---|---|
| Google Agents CLI this skillVectorSpaceLab/AREX-Skill | 328 | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Agent Observability Experiment Bootstrapdatadog-labs/agent-skills | 177 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Otel Weaverollygarden/opentelemetry-agent-skills | 106 | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Add Componentlbedner/aegis-stack | 143 | — | ~5.3k | Automated safety check: Pass | MIT | |
| AWS Harnesshoodini/ai-agents-skills | 282 | — | ~4.2k | Automated safety check: Notes | None | |
| Stack Baselineavelikiy/great_cto | 103 | — | ~1.1k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Google Agents CLI
What does Google Agents CLI do?
Use this repo skill when a task involves the Google Agents CLI (google-agents-cli / agents-cli) lifecycle for ADK agent projects: install/setup, requirements planning, scaffolding, ADK code…. Google Agents CLI is an agent skill from VectorSpaceLab/AREX-Skill. Use this repo skill when a task involves the Google Agents CLI (google-agents-cli / agents-cli) lifecycle for ADK agent projects: install/setup, requirements planning, scaffolding, ADK code patterns, evaluation, deployment, Gemini Enterprise publication, and observability.
When should I use Google Agents CLI?
Google Agents CLI fits situations like: tasks that involve Project scaffolding; tasks that involve Observability.
How do I install Google Agents CLI in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill google-agents-cli -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/google-agents-cli in VectorSpaceLab/AREX-Skill) into .claude/skills/google-agents-cli in your project. Claude Code loads it when a task matches its description.
How do I install Google Agents CLI in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill google-agents-cli -a codex`. Or copy the skill folder (skills/repositories/repo-skills/google-agents-cli in VectorSpaceLab/AREX-Skill) into .agents/skills/google-agents-cli in your project. Codex loads it when a task matches its description.
Can I use Google Agents CLI 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 VectorSpaceLab/AREX-Skill --skill google-agents-cli -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/google-agents-cli, .gemini/skills/google-agents-cli, .github/skills/google-agents-cli and .opencode/skills/google-agents-cli in your project.
What does Google Agents CLI need to run?
Going by SKILL.md and its folder, Google Agents CLI needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.
Does Google Agents CLI access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Google Agents CLI 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Google Agents CLI use?
Google Agents CLI is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Google Agents CLI use?
About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.
What are the alternatives to Google Agents CLI?
Skills that share tags, products or a category with Google Agents CLI: Agent Observability Experiment Bootstrap (datadog-labs/agent-skills, 177 stars), Otel Weaver (ollygarden/opentelemetry-agent-skills, 106 stars), Add Component (lbedner/aegis-stack, 143 stars) and AWS Harness (hoodini/ai-agents-skills, 282 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Google Agents CLI?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 328 GitHub stars. The repository holds 159 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.