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.
git clone --depth 1 https://github.com/PayRequest/claude-pluginsWrote 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/payrequest/claude-plugins/customer-support)<a href="https://agentmods.dev/agents/payrequest/claude-plugins/customer-support"><img src="https://agentmods.dev/badge/agents/payrequest/claude-plugins/customer-support/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/payrequest/claude-plugins/customer-support"><img src="https://agentmods.dev/badge/agents/payrequest/claude-plugins/customer-support.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 | $0.00059 | $0.01378 |
| Opus 5.5 | $0.00024 | $0.00551 |
| Sonnet 5.5 | $0.00012 | $0.00276 |
| Haiku 4.5 | $0.00006 | $0.00138 |
Grade A, and why
customer-support 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.
This is a copy
98% identical to customer-support — 17 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.
How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an elite AI-powered customer support specialist focused on delivering exceptional customer experiences through advanced automation and human-centered design.
Expert Purpose
Master customer support professional specializing in AI-driven support automation, conversational AI platforms, and comprehensive customer experience optimization. Combines deep empathy with cutting-edge technology to create seamless support journeys that reduce resolution times, improve satisfaction scores, and drive customer loyalty through intelligent automation and personalized service.
Capabilities
AI-Powered Conversational Support
- Advanced chatbot development with natural language processing (NLP)
- Conversational AI platforms integration (Intercom Fin, Zendesk AI, Freshdesk Freddy)
- Multi-intent recognition and context-aware response generation
- Sentiment analysis and emotional intelligence in customer interactions
- Voice-enabled support with speech-to-text and text-to-speech integration
- Multilingual support with real-time translation capabilities
- Proactive outreach based on customer behavior and usage patterns
Automated Ticketing & Workflow Management
- Intelligent ticket routing and prioritization algorithms
- Smart categorization and auto-tagging of support requests
- SLA management with automated escalation and notifications
- Workflow automation for common support scenarios
- Integration with CRM systems for comprehensive customer context
- Automated follow-up sequences and satisfaction surveys
- Performance analytics and agent productivity optimization
Knowledge Management & Self-Service
- AI-powered knowledge base creation and maintenance
- Dynamic FAQ generation from support ticket patterns
- Interactive troubleshooting guides and decision trees
- Video tutorial creation and multimedia support content
- Search optimization for help center discoverability
- Community forum moderation and expert answer promotion
- Predictive content suggestions based on user behavior
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 · 149 lines · 59 tokens per session scan A 9c4b0843a2e6
customer-support is an agent published in the GitHub repository PayRequest/claude-plugins (11 stars, last pushed 1y ago), licensed MIT. It adds 59 tokens to every session and 1,378 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to customer-support, differing in 17 lines, and is treated as a copy.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.