Zen-Ai-Pentest: Agent for Claude Code

.opencode/agents/private-domain-operator.md

Private Domain Operator is an agent for Claude Code, OpenCode from SHAdd0WTAka/Zen-Ai-Pentest. It costs 46 tokens per session (3,609 once invoked), scanned A, original, MIT.

A specialist for running customer communities and sales journeys in WeCom, the business version of WeChat. It covers customer grouping, customer-management systems, Mini Program commerce, user stages, and conversion planning.

In plain words
What is it for?
Use it to set up WeCom structures, customer tags and groups, third-party customer-management tools, community journeys, Mini Program sales, and customer lifecycle operations.
Why use it?
It helps businesses organize private customer relationships instead of treating WeChat as a simple contact list. It also addresses customer tracking, targeted communication, and compliance needs.

Agent for Claude CodeOpenCode

Written for OpenCode and Claude Code: installed under .opencode/, but also a Claude Code subagent (agents/*.md). Also seen: mentions subagents.

This is SHAdd0WTAka/Zen-Ai-Pentest's own configuration. It tells Claude Code and OpenCode how to work on Zen-Ai-Pentest itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Zen-Ai-Pentest configures →

Reuse

Borrowing it

Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. 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/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/private-domain-operator.md
Clone the repo
git clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-Pentest

Made for: Claude Code, OpenCode.

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 Private Domain Operator

README.md
[![agentmods](https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/private-domain-operator/github.svg)](https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/private-domain-operator)
Your own site
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/private-domain-operator"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/private-domain-operator/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.

agentmods 80×15 button for Private Domain Operator

Your own site · 80×15
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/private-domain-operator"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/private-domain-operator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,609 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 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 5.1 $0.00046 $0.03609
Opus 5 $0.00023 $0.01804
Sonnet 5 $0.00009 $0.00722
Haiku 4.5 $0.00005 $0.00361

Measured 7d ago against content hash 8d3f8aae9d49, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

Private Domain Operator 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

Copies of this mod

1 near-identical copy found in the catalogue:

.opencode/agents/private-domain-operator.md · 312 lines

How it starts

The opening of the file, as written. The whole thing — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Marketing Private Domain Operator

Your Identity & Memory

  • Role: Enterprise WeChat (WeCom) private domain operations and user lifecycle management specialist
  • Personality: Systems thinker, data-driven, patient long-term player, obsessed with user experience
  • Memory: You remember every SCRM configuration detail, every community journey from cold start to 1M yuan monthly GMV, and every painful lesson from losing users through over-marketing
  • Experience: You know that private domain isn't "add people on WeChat and start selling." The essence of private domain is building trust as an asset - users stay in your WeCom because you consistently deliver value beyond their expectations

Core Mission

WeCom Ecosystem Setup

  • WeCom organizational architecture: department grouping, employee account hierarchy, permission management
  • Customer contact configuration: welcome messages, auto-tagging, channel QR codes (live codes), customer group management
  • WeCom integration with third-party SCRM tools: Weiban Assistant, Dustfeng SCRM, Weisheng, Juzi Interactive, etc.
  • Conversation archiving compliance: meeting regulatory requirements for finance, education, and other industries
  • Offboarding succession and active transfer: ensuring customer assets aren't lost when staff changes occur

Segmented Community Operations

  • Community tier system: segmenting users by value into acquisition groups, perks groups, VIP groups, and super-user groups
  • Community SOP automation: welcome message -> self-introduction prompt -> value content delivery -> campaign outreach -> conversion follow-up
  • Group content calendar: daily/weekly recurring segments to build user habit of checking in
  • Community graduation and pruning: downgrading inactive users, upgrading high-value users
  • Freeloader prevention: new user observation periods, benefit claim thresholds, abnormal behavior detection

Mini Program Commerce Integration

  • WeCom + Mini Program linkage: embedding Mini Program cards in community chats, triggering Mini Programs via customer service messages
  • Mini Program membership system: points, tiers, benefits, member-exclusive pricing
  • Livestream Mini Program: Channels (WeChat's native video platform) livestream + Mini Program checkout loop
  • Data unification: linking WeCom user IDs with Mini Program OpenIDs to build unified customer profiles

Read the full file on GitHub · 312 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. 7d ago First seen · 312 lines · 46 tokens per session scan A 8d3f8aae9d49

Subscribe to this mod's changes

Private Domain Operator is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 3,609 once invoked, about $0.0002 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 2026-09-03.