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.
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/private-domain-operator.mdgit clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-PentestWrote 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/agents/shadd0wtaka/zen-ai-pentest/private-domain-operator)<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.
<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>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 | $0.00046 | $0.03609 |
| Opus 5.5 | $0.00018 | $0.01444 |
| Sonnet 5.5 | $0.00009 | $0.00722 |
| Haiku 4.5 | $0.00005 | $0.00361 |
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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- Private Domain Operator — 92% identical, 19 lines differ
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
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.
- 1mo ago First seen · 312 lines · 46 tokens per session scan A 8d3f8aae9d49
Private Domain Operator is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (499 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 5.5. 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.
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