Enforcing Nophi Logging
maziyarpanahi/openmed
Add a logging and telemetry guard that scrubs or blocks PHI from logs, traces, and error reports around an OpenMed deployment.
Use BentoML CLI command families and BentoCloud workflows safely: login/context, deploy/deployment lifecycle, codespaces, secrets, API tokens, push/pull, and cloud troubleshooting.
Install CLI And Cloud
$ npx skills add VectorSpaceLab/AREX-Skill --skill cli-and-cloud -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill cli-and-cloud --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/bentoml/sub-skills/cli-and-cloud .claude/skills/cli-and-cloud && 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 "cli-and-cloud" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/bentoml/sub-skills/cli-and-cloud into .claude/skills/cli-and-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cli-and-cloud", 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/bentoml/sub-skills/cli-and-cloudType 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 cli-and-cloud -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill cli-and-cloud --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/bentoml/sub-skills/cli-and-cloud .agents/skills/cli-and-cloud && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cli-and-cloud" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/bentoml/sub-skills/cli-and-cloud into .agents/skills/cli-and-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cli-and-cloud", 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 cli-and-cloud -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill cli-and-cloud --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/bentoml/sub-skills/cli-and-cloud .cursor/skills/cli-and-cloud && 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 "cli-and-cloud" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/bentoml/sub-skills/cli-and-cloud into .cursor/skills/cli-and-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cli-and-cloud", 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/bentoml/sub-skills/cli-and-cloud--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 cli-and-cloud -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill cli-and-cloud --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/bentoml/sub-skills/cli-and-cloud .gemini/skills/cli-and-cloud && 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 "cli-and-cloud" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/bentoml/sub-skills/cli-and-cloud into .gemini/skills/cli-and-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cli-and-cloud", 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 cli-and-cloudInstalls 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 cli-and-cloud -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/bentoml/sub-skills/cli-and-cloud .github/skills/cli-and-cloud && 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 "cli-and-cloud" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/bentoml/sub-skills/cli-and-cloud into .github/skills/cli-and-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cli-and-cloud", 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 cli-and-cloud -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 cli-and-cloud --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/bentoml/sub-skills/cli-and-cloud .opencode/skills/cli-and-cloud && 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 "cli-and-cloud" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/bentoml/sub-skills/cli-and-cloud into .opencode/skills/cli-and-cloud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cli-and-cloud", 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
cli-and-cloud- GitHub stars
- 328
- Token cost
- ~1.1k tokens
- SKILL.md length
- 358 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 159
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Use BentoML CLI command families and BentoCloud workflows safely: login/context, deploy/deployment lifecycle, codespaces, secrets, API tokens, push/pull, and cloud troubleshooting.
- A task asks for bentoml terminal commands
- SKILL.md covers Safe Operating Rules, Workflow Routing, Common Command Plans and Cross-References
- Runs Python scripts from its folder; calls python; needs BENTOCLOUD_API_TOKEN and BENTO_CLOUD_API_KEY
- BentoCloud operations rather than Python service authoring
What it does
CLI And Cloud is an agent skill from VectorSpaceLab/AREX-Skill. Use BentoML CLI command families and BentoCloud workflows safely: login/context, deploy/deployment lifecycle, codespaces, secrets, API tokens, push/pull, and cloud troubleshooting. Use when a task asks for bentoml terminal commands or BentoCloud operations rather than Python service authoring, local serving/client calls, container builds, or observability setup.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/bentocloud-workflows.md`, `references/cli-catalog.md` and `references/troubleshooting.md`).
It sits in DevOps & Cloud, covering Deployment and Observability. It works with Python. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is Apache-2.0.
When your agent uses it
- A task asks for bentoml terminal commands
- BentoCloud operations rather than Python service authoring
- Local serving/client calls
- Container builds
Example prompts
- “/cli-and-cloud”
Requirements
- Python 3
- A credential in BENTOCLOUD_API_TOKEN
- A credential in BENTO_CLOUD_API_KEY
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 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
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 these keys or tokens, usually read from environment variables:
BENTOCLOUD_API_TOKENBENTO_CLOUD_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
CLI And Cloud loads about 1.1k tokens when it runs, and up to ~5.6k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 358 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). 358 words, ~1,090 tokens.
Download SKILL.mdSave it as
.claude/skills/cli-and-cloud/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- cli-and-cloud
- description
- Use BentoML CLI command families and BentoCloud workflows safely: login/context, deploy/deployment lifecycle, codespaces, secrets, API tokens, push/pull, and cloud troubleshooting. Use when a task asks for bentoml terminal commands or BentoCloud operations rather than Python service authoring, local serving/client calls, container builds, or observability setup.
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- Apache 2.0
BentoML CLI And BentoCloud
Use this sub-skill when the user needs a safe command plan or troubleshooting path for BentoML CLI and BentoCloud. Treat credentialed cloud commands as user-run operations unless the user explicitly asks you to execute them in an authenticated environment.
Safe Operating Rules
- Prefer local, non-mutating checks first:
bentoml --help,bentoml <command> --help, config-file linting, and command construction. - Never print, store, or request raw API token values.
bentoml api-token createshows the token once; tell the user to save it securely outside the transcript. - Ask before running credentialed or mutating cloud operations such as
bentoml cloud login,bentoml deploy,bentoml deployment update/apply/start/terminate/delete,bentoml secret create/apply/delete,bentoml api-token create/delete,bentoml push, andbentoml pull. - Classify destructive operations clearly:
deployment deleteis irreversible,deployment terminatestops billing-capable workloads but can be restarted, andsecret delete/api-token deletecan break deployments or automation. - Do not put secrets in command lines when avoidable. Use environment variables, files managed by the user, or BentoCloud secrets, and redact values in outputs.
Workflow Routing
- For CLI command discovery and safe local checks, use
references/cli-catalog.mdandscripts/inspect_bentoml_cli.py. - For BentoCloud login, context, deployment, codespace, secret, API-token, push/pull, and CI/CD command plans, use
references/bentocloud-workflows.md. - For errors such as not logged in, wrong context/cluster, missing tokens/secrets, invalid deployment config, wait timeout, quota, auth failures, or destructive-operation risk, use
references/troubleshooting.md. - For deployment YAML/JSON review before a cloud call, run
scripts/deployment_config_lint.pylocally.
Show full SKILL.md (127 more words)Show less
Common Command Plans
Inspect CLI Without Cloud Access
python skills/bentoml/sub-skills/cli-and-cloud/scripts/inspect_bentoml_cli.py --commands "cloud" "deployment" "deploy" "secret" "api-token"This helper only imports the local CLI and renders Click help through CliRunner; it does not log in or contact BentoCloud.
Login And Verify Context
bentoml cloud login
bentoml cloud current-context
bentoml cloud list-contextUse bentoml cloud login --api-token "$BENTOCLOUD_API_TOKEN" only in user-controlled shells or CI logs with secret masking. The CLI also accepts BENTO_CLOUD_API_ENDPOINT and BENTO_CLOUD_API_KEY environment variables.
Deploy From A Project Directory
bentoml deploy . -n my-deployment --cluster my-cluster --scaling-min 0 --scaling-max 3 --wait --timeout 3600If configuration is complex or there are multiple services, prefer a YAML/JSON config and lint it first:
python skills/bentoml/sub-skills/cli-and-cloud/scripts/deployment_config_lint.py config-file.yaml
bentoml deploy -f config-file.yamlManage A Deployment
bentoml deployment list --cluster my-cluster
bentoml deployment get my-deployment --cluster my-cluster -o yaml
bentoml deployment update my-deployment --cluster my-cluster --scaling-min 1 --scaling-max 5
bentoml deployment apply my-deployment --cluster my-cluster -f deployment.yaml
bentoml deployment terminate my-deployment --cluster my-cluster --waitUse update for patch-only changes. Use apply when the config should become the desired full state; it can reset or remove unspecified fields.
Cross-References
- CLI command catalog:
references/cli-catalog.md - BentoCloud workflows:
references/bentocloud-workflows.md - Troubleshooting guide:
references/troubleshooting.md - Local CLI help inspector:
scripts/inspect_bentoml_cli.py - Local deployment config linter:
scripts/deployment_config_lint.py
© 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 5 other files (scripts, references) in skills/repositories/repo-skills/bentoml/sub-skills/cli-and-cloud of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/bentocloud-workflows.md
- references/cli-catalog.md
- references/troubleshooting.md
- scripts/deployment_config_lint.py
- scripts/inspect_bentoml_cli.py
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
CLI And Cloud 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 |
|---|---|---|---|---|---|---|
| CLI And Cloud this skillVectorSpaceLab/AREX-Skill | 328 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Enforcing Nophi Loggingmaziyarpanahi/openmed | 5.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Python Azure Iot Edge Modulesgithub/awesome-copilot | 40k | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Kubeshark Installerkubeshark/kubeshark | 12k | — | ~3.6k | Automated safety check: Notes | Apache-2.0 | |
| KubeSphere ServiceMesh Managerkubesphere/kubesphere | 17k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| AWS Cdk Developmentzxkane/aws-skills | 367 | 2 repos | ~2.5k | Automated safety check: Pass | MIT |
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Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.
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Related
Works with
Categories
Questions about CLI And Cloud
What does CLI And Cloud do?
Use BentoML CLI command families and BentoCloud workflows safely: login/context, deploy/deployment lifecycle, codespaces, secrets, API tokens, push/pull, and cloud troubleshooting. CLI And Cloud is an agent skill from VectorSpaceLab/AREX-Skill. Use BentoML CLI command families and BentoCloud workflows safely: login/context, deploy/deployment lifecycle, codespaces, secrets, API tokens, push/pull, and cloud troubleshooting.
When should I use CLI And Cloud?
CLI And Cloud fits situations like: A task asks for bentoml terminal commands; bentoCloud operations rather than Python service authoring; local serving/client calls; container builds.
How do I install CLI And Cloud in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill cli-and-cloud -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/bentoml/sub-skills/cli-and-cloud in VectorSpaceLab/AREX-Skill) into .claude/skills/cli-and-cloud in your project. Claude Code loads it when a task matches its description.
How do I install CLI And Cloud in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill cli-and-cloud -a codex`. Or copy the skill folder (skills/repositories/repo-skills/bentoml/sub-skills/cli-and-cloud in VectorSpaceLab/AREX-Skill) into .agents/skills/cli-and-cloud in your project. Codex loads it when a task matches its description.
Can I use CLI And Cloud 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 cli-and-cloud -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cli-and-cloud, .gemini/skills/cli-and-cloud, .github/skills/cli-and-cloud and .opencode/skills/cli-and-cloud in your project.
What does CLI And Cloud need to run?
Going by SKILL.md and its folder, CLI And Cloud needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named BENTOCLOUD_API_TOKEN and BENTO_CLOUD_API_KEY. Our summary lists: Python 3; A credential in BENTOCLOUD_API_TOKEN; A credential in BENTO_CLOUD_API_KEY.
Does CLI And Cloud 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 CLI And Cloud 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 CLI And Cloud use?
CLI And Cloud 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 CLI And Cloud use?
About 1.1k tokens (SKILL.md is roughly 4.4k 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 4.5k tokens, read only when the agent opens those files.
What are the alternatives to CLI And Cloud?
Skills that share tags, products or a category with CLI And Cloud: Enforcing Nophi Logging (maziyarpanahi/openmed, 5.5k stars), Python Azure Iot Edge Modules (github/awesome-copilot, 40k stars), Kubeshark Installer (kubeshark/kubeshark, 12k stars) and KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains CLI And Cloud?
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.