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Human Cli

OrganizationPopular
novuhq
human-cli

Reach the actual human you're working for via the `human` CLI (ask/approve/choose/tell) when you need a decision, approval, or notification and no one is watching this terminal right now. Use for background/autonomous/scheduled runs, risky or irreversible actions, and genuine multi-way ambiguity — not for routine questions the current chat user can just answer next turn.

Overview

Publishernovuhq
Repositorynovu
Skill namehuman-cli
Stars
40K
Forks
4.5K
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by novuhq on GitHub. Read the source before you install it.

Installation

Install the Human Cli AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/novuhq/novu.git /tmp/novu
mkdir -p .claude/skills
cp -r /tmp/novu/packages/human/src/skills/content/human-cli .claude/skills/human-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Human Cli in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Human Cli on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Human Cli is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

The human CLI — reaching your human when you need one

human (package @novu/human) is a small CLI whose only job is getting a real decision from a real person: ask a question, approve an action, choose between options, or tell them something — over Telegram, Slack, or email, wherever they set it up to reach them. Each blocking command waits until they respond (or it times out) and then your process continues.

When to reach for this vs. just asking in chat

If the person you're working for is actively watching this conversation and can answer your next message, just ask them normally — don't shell out to human for routine back-and-forth. Reach for human when:

  • You're running unattended — a background task, a scheduled/cron job, an autonomous loop, a CI step, or any context where there's no live chat to post a question into and get an answer back.
  • The action is risky or irreversible — deleting data, deploying to production, spending money, sending something externally-visible. Even in an interactive session, get an explicit human approve before doing these, so there's a real audit trail of who approved what and when.
  • There's a genuine multi-way decision and guessing wrong is expensive — use choose instead of picking silently or asking a rhetorical question nobody will answer.
  • You finished something long-running and want to tell someone, without blocking on a reply — use tell.

Don't use it as a crutch to avoid making reasonable calls you're equipped to make yourself, and don't use it to relay simple status updates the calling process/logs already surface.

Before you rely on it: check it's set up

human needs one-time setup by the actual human (npx @novu/human setup). If it isn't configured on this machine yet, every command exits 1 with:

No human connected yet. Ask your human to run: npx @novu/human setup (or set NOVU_SECRET_KEY + HUMAN_TO).

Treat that message as the actual next step: surface it to whoever is reachable (chat, PR description, logs) rather than silently giving up or looping. Never attempt to configure it on the human's behalf — you don't have their Telegram/Slack/email credentials, and setup is interactive by design.

The no-account (keyless) setup is a free demo with a small message allowance. When it runs out, commands exit 1 with a message containing a sign-up link:

You've used the 5 free messages of this keyless demo.
Sign up to keep your channels and continue: https://dashboard.novu.co/connect/claim?token=...

The human already received that link on their channel. Stop retrying, surface the link where the human will see it, and wait — the human signs up and then re-points the CLI with human setup --secret-key <key> (or NOVU_SECRET_KEY).

In sandboxes and containers with no config file, the CLI is fully operational when NOVU_SECRET_KEY and HUMAN_TO are set in the environment (optionally HUMAN_VIA for the channel). --to/--via flags still override the env values.

To reach a different person than the one who ran setup, they need a linked channel too:

bash
human invite alice --via slack --name "Alice Chen"
human invite bob --via telegram --async --name "Bob"
human invite carol --via email --email carol@acme.com --name "Carol Diaz"

Send them the printed URL (Slack authorize or Telegram Start). --async prints the URL and returns immediately. This does not change ~/.novu/human.json. After they connect, address them with --to alice. --name is what human contacts shows next to the id, so always pass it when you know who the person is.

Who can I reach: check contacts before coordinating between people

When a task involves more than the one human who ran setup — routing a question to the right owner, getting a second approval, telling someone else a job finished — look before you ask:

bash
human contacts --json

Each row is a subscriber the environment knows about: id (the subscriberId), firstName/lastName, email, phone, free-form data, and self: true on the person who ran setup (the default --to when you pass nothing). Pages are 50 rows by default; when next is non-null, fetch the rest with human contacts --after <next> before concluding someone isn't there. Pick by name or id and pass the id to --to:

bash
human approve "Ship the pricing change?" --to alice
human tell "Deploy is done." --to alice,bob

Contacts is a directory, not a reachability guarantee. If delivery fails with "no linked endpoint", that person exists but hasn't connected the channel yet — run human invite <id> --via <channel> --name "…", send them the URL, and retry. Never invent an id that isn't in the list, and never page self as if they were a third party.

The four commands

bash
human ask "Which environment should I target: staging or prod?"
human approve "Delete 342 rows flagged as stale from the orders table?"
human choose "Pick a rollout strategy" --option canary --option "blue-green" --option "all at once"
human tell "Nightly build finished — 0 failures, deployed to staging."
  • ask / choose return the human's answer as plain text on stdout.
  • approve / choose deliver buttons; the human taps one.
  • choose renders each option's full text in the message and labels the buttons themselves just A/B/C (chat button UIs, Telegram especially, truncate or wrap long button labels badly). Write full, descriptive --option values — don't shorten them to fit a button, that's handled for you. Cap it at 10 options (A–J); past that, ask a plain question instead.
  • tell is one-way — it returns as soon as it's delivered, never blocks.

Exit codes — branch on these, don't parse prose

CodeMeaning
0answered / approved / chosen / delivered
10denied
11timed out waiting — still pending, resumable
12expired or canceled
1error (not set up, bad input, network)
bash
if human approve "Deploy to production?"; then
  echo "approved, proceeding"
else
  code=$?
  if [ "$code" -eq 10 ]; then echo "denied, stopping"; exit 1; fi
  if [ "$code" -eq 11 ]; then echo "no answer yet, will resume: human wait <id>"; fi
fi

Add --json to any command to get the full interaction object (id, status, response, timestamps) instead of prose — parse that when you need structured data rather than scraping stdout text.

Waiting behavior

Commands block by default and print a live spinner (on stderr, so stdout stays clean for scripts) until the human answers. Two flags change that:

  • --timeout 10m — give up waiting after this long. On timeout the command prints the interaction id and exits 11; resume later with human wait <id>.
  • --async — don't block at all; print the id immediately and check back with human wait <id> or human list.

Use --timeout for anything inside a larger workflow that shouldn't hang forever waiting on a human who might be asleep; use --async when you have other useful work to do while you wait.

Useful flags

  • --from "deploy-bot" — label shown to the human so they know which agent is asking. Set this whenever you have a stable identity (skip it for one-off ad hoc runs).
  • --to <humanId> / --via <telegram|slack|email>--to addresses humans who are already linked. Find them with human contacts --json first; link someone new with human invite alice --via slack --name "Alice Chen" (prints a connect URL for them; does not change your local identity). --to alice,bob lets any listed human settle (first valid answer wins, max 50). --via on ask/approve is only a delivery override when that person has several channels; don't guess — if you need a specific one, pass --via. If they have no endpoint yet, the API tells you to run human invite <id> --via <channel>.
  • --ttl 2h — how long the request stays answerable before it expires (default 24h, max 72h). Shorten this for anything time-sensitive so a stale approval can't be actioned days later.
  • --icon — Slack only; MCP catalog id (stripe, github) or https URL (32×32). Ignored on other channels.
  • --subtitle, --body — optional card chrome on every channel.
  • Approve only: --approve-label, --deny-label, repeatable --extra-action trust-tool:"Always allow this tool".
  • Choose --option also accepts id:label (--option stg:Staging).
bash
human approve "Should we deploy to staging?" \
  --icon stripe \
  --subtitle "issue_refund: ORD-42" \
  --body "Refund $25.00" \
  --extra-action trust-tool:"Always allow this tool"

human choose "Which environment?" \
  --option stg:Staging \
  --option prd:Production \
  --subtitle "This cannot be undone"

Checking in without asking something new

  • human list — see pending/recent interactions (useful before creating a duplicate ask).
  • human wait <id> — resume blocking on something you created with --async or that previously timed out.
  • human cancel <id> — withdraw a pending request you no longer need answered (e.g. you found another way forward).

Frequently asked questions

What does the Human Cli AI skill do?

Reach the actual human you're working for via the `human` CLI (ask/approve/choose/tell) when you need a decision, approval, or notification and no one is watching this terminal right now. Use for background/autonomous/scheduled runs, risky or irreversible actions, and genuine multi-way ambiguity — not for routine questions the current chat user can just answer next turn.

Why use Human Cli on TypingMind?

Because you install it once and use it with any model. Human Cli is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Human Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/novuhq/novu/tree/next/packages/human/src/skills/content/human-cli. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Human Cli?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Human Cli?

As many as you like. As long as a model supports skills, you can use Human Cli with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Human Cli AI skill free?

It is published on GitHub by novuhq. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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