What is init-first-agent?

A guided setup for creating NanoClaw’s first agent in a direct-message channel. It links the channel to the new agent and sends a test welcome message.

Use it after channel credentials are configured and NanoClaw is running to choose a channel, connect its messaging group, and verify delivery.

It removes the manual work of finding the right channel and user account and checking that messages travel through the full system.

How thmtz/nanoclaw-fleet configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to thmtz/nanoclaw-fleet. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/thmtz/nanoclaw-fleet/main/.claude/skills/init-first-agent/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/thmtz/nanoclaw-fleet

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/thmtz/nanoclaw-fleet/init-first-agent.svg)](https://agentmods.dev/skills/thmtz/nanoclaw-fleet/init-first-agent)

Your own site

<a href="https://agentmods.dev/skills/thmtz/nanoclaw-fleet/init-first-agent"><img src="https://agentmods.dev/badge/skills/thmtz/nanoclaw-fleet/init-first-agent.svg" alt="Measured on agentmods" height="20"></a>

Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,853 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 88% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00060	$0.01853
Opus 5	$0.00030	$0.00927
Sonnet 5	$0.00012	$0.00371
Haiku 4.5	$0.00006	$0.00185

Measured 7d ago against content hash edd47c9b9667, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

init-first-agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

88% identical to init-first-agent — 51 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/init-first-agent/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Init First Agent

Stand up the first NanoClaw agent for a channel and verify end-to-end delivery by having the agent DM the operator. Everything the skill does is idempotent — rerunning is safe.

Prerequisites

Service running. Check: launchctl list | grep nanoclaw (macOS) or systemctl --user status nanoclaw (Linux). If stopped, tell the user to run /setup first.
Target channel installed. At least one /add-<channel> skill has run, credentials are in .env, and the adapter is uncommented in src/channels/index.ts.
Adapter connected. Tail logs/nanoclaw.log — look for a recent channel setup / adapter connected line for the target channel.

1. Pick the channel

Read src/channels/index.ts to find enabled channels (uncommented imports). Cross-check .env for the relevant credentials.

AskUserQuestion: "Which channel should host the welcome DM?" with one option per enabled channel (Discord, Slack, Telegram, WhatsApp, Webex, Teams, Google Chat, Matrix, iMessage, Resend, …).

Record the choice as CHANNEL (lowercase, e.g. discord).

2. Ask for the operator's identity

Read the channel's own skill for its ## Channel Info > how-to-find-id section (e.g. .claude/skills/add-discord/SKILL.md, .claude/skills/add-telegram/SKILL.md). Show those instructions to the user in plain text.

Then ask in plain text (NOT AskUserQuestion — these are free-form):

Your user id on this channel — e.g. a Discord user ID, Telegram user ID, Slack user ID. Record as USER_HANDLE.
Your display name — human name, used to name the agent group (dm-with-<normalized>) and as the welcome-message addressee. Record as DISPLAY_NAME.
Agent persona name — the assistant's display name. Default: DISPLAY_NAME. Record as AGENT_NAME.

3. Resolve the DM platform id

This depends on whether the channel supports cold DM via adapter.openDM.

Channels without cold DM (direct-addressable): telegram, whatsapp, imessage, matrix, resend. The user handle doubles as the DM chat id. Set:

Read the full file on GitHub · 121 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

7d ago First seen · 121 lines · 60 tokens per session scan A edd47c9b9667

Subscribe to this mod's changes

init-first-agent is a skill published in the GitHub repository thmtz/nanoclaw-fleet (5 stars, last pushed 4mo ago), licensed MIT. It adds 60 tokens to every session and 1,853 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to init-first-agent, differing in 51 lines, and is treated as a copy.

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nanoclaw-fleet: Skill for Claude Code