agentmods.dev

customize

An interactive guide for changing GhostClaw, a software assistant, by adding input channels, changing triggers, connecting services, or modifying its routing and behavior.

In plain words
What is it for?
Use it to add channels such as Telegram, Slack, or email, change message triggers, modify the router, or update configuration and memory behavior.
Why use it?
It turns a broad customization request into questions, a file plan, implementation work, and guidance for checking the result.

Skill for Claude CodeCodex

91 4mo ago A scan 60 tokens original MIT
View the source file b1rdmania/ghostclaw
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/b1rdmania/ghostclaw/customize
Any agent
npx skills add b1rdmania/ghostclaw --skill customize
Clone the repo
git clone --depth 1 https://github.com/b1rdmania/ghostclaw

Made for: Claude Code, Codex.

Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 941 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00060 $0.00941
Opus 5 $0.00030 $0.00470
Sonnet 5 $0.00012 $0.00188
Haiku 4.5 $0.00006 $0.00094

Measured 3d ago against content hash 3e87ab6f9cf7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 3d 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

Copies of this mod

8 near-identical copies found in the catalogue:

.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.

GhostClaw 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
  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 (see src/agent-spawner.ts for how MCP servers are wired into each agent process)
  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. 3d ago First seen · 111 lines · 60 tokens per session scan A 3e87ab6f9cf7

Subscribe to this mod's changes

customize is a skill published in the GitHub repository b1rdmania/ghostclaw (91 stars, last pushed 4mo ago), licensed MIT. It adds 60 tokens to every session and 941 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Building agentsaiai-agentclaudenanoclawopenclawpersonal-assistant
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