customize

customize is a skill for Claude Code, Codex from ShinyStar307/nano---Openclaw. It costs 60 tokens per session (965 once invoked), scanned A, a copy of customize, MIT.

An interactive guide for changing NanoClaw, a container-based assistant, by adding channels, changing message triggers, or connecting other services. It asks questions first, then identifies the relevant code and explains how to test the change.

In plain words
What is it for?
Use it to add Telegram, Slack, or email input, change how messages start the assistant, add integrations, or modify message routing. It is also useful for planning changes to NanoClaw's configuration, database, or channel code.
Why use it?
It turns broad customization requests into a defined change instead of requiring the user to find the right files and decisions alone. It can also point to an existing guide when one already covers the requested addition.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/shinystar307/nano---openclaw/customize
Any agent
npx skills add ShinyStar307/nano---Openclaw --skill customize
Clone the repo
git clone --depth 1 https://github.com/ShinyStar307/nano---Openclaw

Made for: Claude Code, Codex.

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.

agentmods badge for customize

README.md
[![agentmods](https://agentmods.dev/badge/skills/shinystar307/nano---openclaw/customize.svg)](https://agentmods.dev/skills/shinystar307/nano---openclaw/customize)
Your own site
<a href="https://agentmods.dev/skills/shinystar307/nano---openclaw/customize"><img src="https://agentmods.dev/badge/skills/shinystar307/nano---openclaw/customize.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 965 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.00965
Opus 5 $0.00030 $0.00483
Sonnet 5 $0.00012 $0.00193
Haiku 4.5 $0.00006 $0.00097

Measured 5d ago against content hash 6fdbd0bf0605, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

customize 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 5d 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 customize — 18 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/customize/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NanoClaw Customization

This skill helps users add capabilities or modify behavior. Use AskUserQuestion to understand what they want before making changes.

Workflow

  1. Understand the request - Ask clarifying questions
  2. Plan the changes - Identify files to modify. If a skill exists for the request (e.g., /add-telegram for adding Telegram), invoke it instead of implementing manually.
  3. Implement - Make changes directly to the code
  4. Test guidance - Tell user how to verify

Key Files

File Purpose
src/index.ts Orchestrator: state, message loop, agent invocation
src/channels/whatsapp.ts WhatsApp connection, auth, send/receive
src/ipc.ts IPC watcher and task processing
src/router.ts Message formatting and outbound routing
src/types.ts TypeScript interfaces (includes Channel)
src/config.ts Assistant name, trigger pattern, directories
src/db.ts Database initialization and queries
src/whatsapp-auth.ts Standalone WhatsApp authentication script
groups/CLAUDE.md Global memory/persona

Common Customization Patterns

Adding a New Input Channel (e.g., Telegram, Slack, Email)

Questions to ask:

  • Which channel? (Telegram, Slack, Discord, email, SMS, etc.)
  • Same trigger word or different?
  • Same memory hierarchy or separate?
  • Should messages from this channel go to existing groups or new ones?

Implementation pattern:

  1. Create src/channels/{name}.ts implementing the Channel interface from src/types.ts (see src/channels/whatsapp.ts for reference)
  2. Add the channel instance to main() in src/index.ts and wire callbacks (onMessage, onChatMetadata)
  3. Messages are stored via the onMessage callback; routing is automatic via ownsJid()

Adding a New MCP Integration

Questions to ask:

  • What service? (Calendar, Notion, database, etc.)
  • What operations needed? (read, write, both)
  • Which groups should have access?

Implementation:

  1. Add MCP server config to the container settings (see src/container-runner.ts for how MCP servers are mounted)
  2. Document available tools in groups/CLAUDE.md

Read the full file on GitHub · 111 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.

  1. 5d ago First seen · 111 lines · 60 tokens per session scan A 6fdbd0bf0605

Subscribe to this mod's changes

customize is a skill published in the GitHub repository ShinyStar307/nano---Openclaw (5 stars, last pushed 5mo ago), licensed MIT. It adds 60 tokens to every session and 965 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 customize, differing in 18 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

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…

microsoft/ai-agents-for-beginners · 200 tokens

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…

vercel/next.js · 95 tokens

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…

vercel/next.js · 170 tokens

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…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens