Borrowing it
Nothing to install: this file belongs to taslim/nanoclaw-gws-ea. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/taslim/nanoclaw-gws-ea/main/.claude/skills/init-first-agent/SKILL.mdgit clone --depth 1 https://github.com/taslim/nanoclaw-gws-eaWrote 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.
[](https://agentmods.dev/skills/taslim/nanoclaw-gws-ea/init-first-agent)<a href="https://agentmods.dev/skills/taslim/nanoclaw-gws-ea/init-first-agent"><img src="https://agentmods.dev/badge/skills/taslim/nanoclaw-gws-ea/init-first-agent/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/taslim/nanoclaw-gws-ea/init-first-agent"><img src="https://agentmods.dev/badge/skills/taslim/nanoclaw-gws-ea/init-first-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.01885 |
| Opus 5 | $0.00030 | $0.00942 |
| Sonnet 5 | $0.00012 | $0.00377 |
| Haiku 4.5 | $0.00006 | $0.00188 |
Grade A, and why
init-first-agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
86% identical to init-first-agent — 47 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Init First Agent
Stand up the first NanoClaw agent for a channel and verify end-to-end delivery by having the agent DM the operator. Everything the skill does is idempotent — rerunning is safe.
Prerequisites
- Service running. Check:
launchctl list | grep "$(. setup/lib/install-slug.sh && launchd_label)"(macOS) orsystemctl --user status "$(. setup/lib/install-slug.sh && systemd_unit)"(Linux). If stopped, tell the user to run/setupfirst. - Target channel installed. At least one
/add-<channel>skill has run, credentials are in.env, and the adapter is uncommented insrc/channels/index.ts. - Adapter connected. Tail
logs/nanoclaw.log— look for a recentchannel setup/adapter connectedline 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 asDISPLAY_NAME. - Agent persona name — the assistant's display name. Default:
DISPLAY_NAME. Record asAGENT_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:
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.
- 10d ago First seen · 121 lines · 60 tokens per session scan A 1507a14b6dca
init-first-agent is a skill published in the GitHub repository taslim/nanoclaw-gws-ea (11 stars, last pushed 3mo ago), licensed MIT. It adds 60 tokens to every session and 1,885 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to init-first-agent, differing in 47 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…