Agent skill

Vellum Client Capabilities

by vellum-ai in vellum-ai/vellum-assistant

Truthful answers about what the Vellum client apps can and cannot do on the user's device.

MITAuto-check passedAgent Workflows

Install Vellum Client Capabilities

skills CLI
$ npx skills add vellum-ai/vellum-assistant --skill vellum-client-capabilities -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install vellum-ai/vellum-assistant vellum-client-capabilities --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/vellum-client-capabilities .claude/skills/vellum-client-capabilities && rm -rf skills-src

Use ~/.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/

Facts

Skill name
vellum-client-capabilities
GitHub stars
1.4k
Token cost
~1.2k tokens
SKILL.md length
566 words
Files
1
Skills in repo
108
Repo updated
First seen
Licence
MIT

At a glance

Truthful answers about what the Vellum client apps can and cannot do on the user's device.

  • Works in 3 steps: Say plainly that you cannot access… → Ask them to type a city, address, or… → Continue the task with what they give you.
  • Tasks that involve Human-in-the-loop approvals
  • SKILL.md covers Critical Rule, Device Location, Shipped Clients and Desktop App And Chrome Extension, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Vellum Client Capabilities is an agent skill from vellum-ai/vellum-assistant. Truthful answers about what the Vellum client apps can and cannot do on the user's device. Device location and GPS are unavailable in every client and there is no location permission prompt to approve, so location requests are answered by asking for a typed city or address instead.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Vellum personal assistants

It sits in Agent Workflows, covering Human-in-the-loop approvals. It works with Chrome Extensions and Linux. The repository describes itself as: An AI Assistant that’s easy to setup, does your work 24/7, knows your preferences and gets better over time. The licence is MIT.

When your agent uses it

  • Tasks that involve Human-in-the-loop approvals

Example prompts

  • “/vellum-client-capabilities”

Requirements

  • Compatibility (from SKILL.md): Designed for Vellum personal assistants

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Say plainly that you cannot access device location.
  2. Ask them to type a city, address, or place name instead. Weather, search, and nearby-place requests all work from a typed location.
  3. Continue the task with what they give you.

What it can do on your machine

Read from SKILL.md and the folder at commit 33cc983. 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.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • vellum.ai
    • chromewebstore.google.com
    • apps.apple.com
    • play.google.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.

  • Compatibility

    Designed for Vellum personal assistants

    From compatibility in the SKILL.md frontmatter.

Context cost

Vellum Client Capabilities loads about 1.2k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 566 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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

The full file from vellum-ai/vellum-assistant at commit 33cc983, republished under its MIT licence (© vellum-ai). 566 words, ~1,151 tokens.

Download SKILL.mdSave it as .claude/skills/vellum-client-capabilities/SKILL.md (or your agent's skills folder).
name
vellum-client-capabilities
description
Truthful answers about what the Vellum client apps can and cannot do on the user's device. Device location and GPS are unavailable in every client and there is no location permission prompt to approve, so location requests are answered by asking for a typed city or address instead.
compatibility
Designed for Vellum personal assistants
metadata.emoji
📍

Critical Rule

Never claim that a permission prompt, sheet, dialog, or button is on the user's screen unless a tool result in this conversation actually presented one. Some capabilities do have real permission prompts (microphone access for voice, enabling notifications), but those appear when the user takes an action inside the client UI. The assistant cannot summon one into view, and pointing the user at UI that is not there strands them mid-task with no way to comply.

Device Location

No Vellum client can read the device's location. Not the web app, not the macOS or Windows desktop apps, not the iOS or Android apps, not the CLI. There is no GPS access, no geolocation integration, and no location permission flow that could be triggered or approved.

When the user asks you to use their current, live, or nearby location:

  1. Say plainly that you cannot access device location.
  2. Ask them to type a city, address, or place name instead. Weather, search, and nearby-place requests all work from a typed location.
  3. Continue the task with what they give you.

Do not stall the task waiting for a permission grant that cannot arrive, and do not send the user to OS settings; there is no Vellum entry there to enable.

The one coarse signal that exists

Settings has a "Timezone" field, set by searching for a city or UTC offset. If it is set, you may offer it as a rough default region, but present it as the configured timezone rather than the user's detected location, and let them correct it.

If the user asks for real location support

It does not exist today in any client. The honest answer is that they can mention a place per request, or set the Timezone field in Settings as a standing default.

Show full SKILL.md (265 more words)Show less

Shipped Clients

Tell the user only what is actually downloadable. Do not invent a Linux desktop installer.

For install, pricing, or "how do I install you" questions, also load vellum-self-knowledge and fetch Installation, FAQ, and Pricing from the docs. Do not answer those from memory.

Desktop App And Chrome Extension

When a task needs a logged-in browser or a host computer (internal pages, company SSO, VPN-only dashboards, local files, or host shell):

  1. Offer the desktop app for Mac or Windows: https://www.vellum.ai/downloads
  2. For browser sessions, also offer the Chrome extension: https://chromewebstore.google.com/detail/vellum-assistant-browser/hphbdmpffeigpcdjkckleobjmhhokpne
  3. Offer those first. Only ask for a screenshot or pasted page content if the user cannot install either.

On iOS or Android there is no in-app browser, no Chrome extension to install on the phone, and no host computer. Offer the desktop app or Chrome extension on a computer. Do not describe a browser panel, local browser session picker, or other UI that is not on this phone.

Other Device Capabilities

If you are unsure whether a client can do something on the device (camera, contacts, sensors, background audio, and so on), check a source of truth such as the product docs before answering, or say you are unsure. Never assume a capability exists because typical mobile apps have it, and never describe UI for it that you have not seen presented.

© vellum-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/vellum-client-capabilities of vellum-ai/vellum-assistant.

Open the folder on GitHubat commit 33cc983

Compare with similar skills

Vellum Client Capabilities 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.

Vellum Client Capabilities compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Vellum Client Capabilities this skillvellum-ai/vellum-assistant1.4k—~1.2kAutomated safety check: PassMIT
Show Me Your Work Decision Logcursor/plugins11k8 repos~1.6kAutomated safety check: PassNone
Darwin Skill Optimizeralchaincyf/darwin-skill6.2k1 repos~4.7kAutomated safety check: PassMIT
Loop Constraints Enforcercobusgreyling/loop-engineering11k1 repos~475Automated safety check: NotesMIT
Ask User QuestionMemTensor/MemOS12k—~1kAutomated safety check: PassApache-2.0
PUA High-Agency Governancetanweai/pua20k—~502Automated safety check: PassMIT

Similar skills

  • Official

    Keeps a TSV decision log for long or unattended agent runs, one row per decision with what, why, evidence and result, so a reviewer can check the work later.

    11k GitHub starsUsed in 8 repos~1.6k tokens
    Agent WorkflowsAuto-check passed
  • Darwin Skill Optimizer

    alchaincyf/darwin-skill

    Scores SKILL.md files on a nine-dimension rubric, then improves them in a keep-or-revert loop with independent judge agents, test prompts, git history and human checkpoints.

    6.2k GitHub starsUsed in 1 repo~4.7k tokens
    Agent WorkflowsAuto-check passed
  • Loop Constraints Enforcer

    cobusgreyling/loop-engineering

    Loads a project's loop-constraints.md before any other action and blocks pushes, edits or merges that violate the rules it defines.

    11k GitHub starsUsed in 1 repo~475 tokens
    Agent WorkflowsAuto-check: notes
  • Ask User Question

    MemTensor/MemOS

    Shows a question as a modal in the interface to clarify a task, collect a preference or get approval, since the user cannot see terminal output.

    12k GitHub stars~1k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Pushes an agent to keep verifying and changing approach after repeated failures, using a diagnosis line, evidence-based completion and confirmation before risky edits.

    20k GitHub stars~502 tokensUpdated 1 mo ago
    Agent WorkflowsAuto-check passed
  • Agentmemory Forget

    rohitg00/agentmemory

    Deletes chosen memories from agentmemory only after showing the matches and getting an explicit yes, for privacy requests and cleanup of outdated notes.

    29k GitHub stars~612 tokensUpdated today
    Agent WorkflowsAuto-check passed

More from vellum-ai/vellum-assistant

All 108 skills in this repo
  • Vellum GitHub App Setup

    vellum-ai/vellum-assistant

    Create and configure a GitHub App so the assistant can push commits, open PRs, and comment under its own bot identity.

    1.4k GitHub stars~3.1k tokensUpdated yesterday
    Auto-check passed
  • Discord App Setup

    vellum-ai/vellum-assistant

    Connect a Discord bot to the assistant via the Discord Gateway with guided application creation and intent configuration

    1.4k GitHub stars~4.2k tokensUpdated yesterday
    Auto-check passed
  • Sentry App Setup

    vellum-ai/vellum-assistant

    Create and configure a Sentry internal integration so the assistant can manage issues, alerts, and releases under its own identity

    1.4k GitHub stars~1.3k tokensUpdated yesterday
    Auto-check passed
  • Memory Corpus Ingest

    vellum-ai/vellum-assistant

    Ingest a large dataset into memory as a skimmed map. An agent skill from vellum-ai/vellum-assistant.

    1.4k GitHub stars~3k tokensUpdated yesterday
    Auto-check: notes
  • Plugin Builder

    vellum-ai/vellum-assistant

    A skill your agent uses when the user wants to build, scaffold, ship, or edit a Vellum plugin that bundles multiple surfaces (hooks, tools, skills, and more) into one installable package.

    1.4k GitHub stars~3.1k tokensUpdated yesterday
    Auto-check passed
  • Slack App Setup

    vellum-ai/vellum-assistant

    Connect a Slack app to the Vellum Assistant via Socket Mode.

    1.4k GitHub stars~2.5k tokensUpdated yesterday
    Auto-check: warnings

Categories

Questions about Vellum Client Capabilities

What does Vellum Client Capabilities do?

Truthful answers about what the Vellum client apps can and cannot do on the user's device. Vellum Client Capabilities is an agent skill from vellum-ai/vellum-assistant. Truthful answers about what the Vellum client apps can and cannot do on the user's device.

When should I use Vellum Client Capabilities?

Vellum Client Capabilities fits situations like: tasks that involve Human-in-the-loop approvals.

How do I install Vellum Client Capabilities in Claude Code?

Run `npx skills add vellum-ai/vellum-assistant --skill vellum-client-capabilities -a claude-code`. Or copy the skill folder (skills/vellum-client-capabilities in vellum-ai/vellum-assistant) into .claude/skills/vellum-client-capabilities in your project. Claude Code loads it when a task matches its description.

How do I install Vellum Client Capabilities in Codex?

Run `npx skills add vellum-ai/vellum-assistant --skill vellum-client-capabilities -a codex`. Or copy the skill folder (skills/vellum-client-capabilities in vellum-ai/vellum-assistant) into .agents/skills/vellum-client-capabilities in your project. Codex loads it when a task matches its description.

Can I use Vellum Client Capabilities 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 vellum-ai/vellum-assistant --skill vellum-client-capabilities -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vellum-client-capabilities, .gemini/skills/vellum-client-capabilities, .github/skills/vellum-client-capabilities and .opencode/skills/vellum-client-capabilities in your project.

What does Vellum Client Capabilities need to run?

SKILL.md names no scripts, command-line tools or credentials: Vellum Client Capabilities is instructions for the agent only. Compatibility (from SKILL.md): Designed for Vellum personal assistants.

Does Vellum Client Capabilities access the network?

SKILL.md names 4 domains. As links in the text: vellum.ai, chromewebstore.google.com, apps.apple.com and play.google.com. This is read from the text; nothing was executed.

Is Vellum Client Capabilities 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 Vellum Client Capabilities use?

Vellum Client Capabilities is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Vellum Client Capabilities use?

About 1.2k tokens (SKILL.md is roughly 4.6k 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 Vellum Client Capabilities?

Skills that share tags, products or a category with Vellum Client Capabilities: Show Me Your Work Decision Log (cursor/plugins, 11k stars), Darwin Skill Optimizer (alchaincyf/darwin-skill, 6.2k stars), Loop Constraints Enforcer (cobusgreyling/loop-engineering, 11k stars) and Ask User Question (MemTensor/MemOS, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vellum Client Capabilities?

vellum-ai (a GitHub organization) maintains it in vellum-ai/vellum-assistant, which has 1,408 GitHub stars. The repository holds 108 skills in this directory. The repository was last updated on October 9, 2026.

Source: vellum-ai/vellum-assistant on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.