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.
npx agentmods add skills/escapeboy/ai-prompts/module-assistantnpx skills add escapeboy/ai-prompts --skill module-assistantgit clone --depth 1 https://github.com/escapeboy/ai-promptsWrote 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/escapeboy/ai-prompts/module-assistant)<a href="https://agentmods.dev/skills/escapeboy/ai-prompts/module-assistant"><img src="https://agentmods.dev/badge/skills/escapeboy/ai-prompts/module-assistant.svg" alt="Measured on agentmods" 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 | $0.00024 | $0.05949 |
| Opus 5 | $0.00012 | $0.02975 |
| Sonnet 5 | $0.00005 | $0.01190 |
| Haiku 4.5 | $0.00002 | $0.00595 |
Grade A, and why
module:assistant 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 762 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Module: AI Assistant
Implement an AI-powered assistant chat panel embedded in your Laravel application. The assistant understands your domain, can execute tools to read/write data, and supports multiple LLM providers including local agents.
Reference implementation: Agent Fleet — Livewire panel with streaming, PrismPHP tool calling, local agent support (Claude Code text-based <tool_call> loop, Codex via MCP), conversation history, context awareness.
Usage
/module:assistant [action]
Quick Examples
/module:assistant # Full implementation
/module:assistant analyze # Only analyze and produce a component plan
/module:assistant tools # Only generate the tool registry (add to existing assistant)
Actions
1. Full Implementation (Default)
Implements the complete assistant: database, backend, tools, frontend.
Process:
Phase 1: Analyze the Project
-
Read CLAUDE.md to understand the domain, models, and architecture.
-
Check prerequisites:
- Livewire 3+ installed? (
composer show livewire/livewire) - PrismPHP installed? (
composer show prism-php/prism) - Alpine.js available? (comes with Livewire)
- Tailwind CSS configured?
- Livewire 3+ installed? (
-
If MCP is already set up (from
/module:mcp): the assistant can reference MCP tools for local agents that support MCP natively (e.g. Codex). -
Identify domain tools — the assistant needs tools to interact with your data. Scan models and actions to plan what tools to create (same analysis as
/module:mcp analyze). -
Decide the tool strategy:
- Cloud LLMs (Anthropic, OpenAI): Use PrismPHP Tool objects — native function calling.
- Claude Code (local): Use text-based
<tool_call>format — system prompt describes tool schemas, responses parsed for<tool_call>tags. - Codex (local): Use MCP natively — connect to your MCP server (requires
/module:mcpfirst).
Phase 2: Database
Create the migration for assistant conversations and messages.
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.
- 6d ago First seen · 762 lines · 24 tokens per session scan A d8e564878337
module:assistant is a skill published in the GitHub repository escapeboy/ai-prompts (91 stars, last pushed 10d ago), licensed MIT. It adds 24 tokens to every session and 5,949 once invoked, about $0.0001 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.
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