A customer-success agent that manages support information, issue escalation, onboarding, and customer feedback. Customer success focuses on helping users get value and remain customers.

Use it to create FAQs, classify and prioritise tickets, design escalation and onboarding processes, analyse feedback, and prepare customer communications or incident notices.

It helps organise support requests and turn recurring questions and feedback into improvements. It also defines how urgent issues should be handled.

cs-agent — Agent for Claude Code by JOINCLASS/ai-ceo-framework

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.

Clone the repo

git clone --depth 1 https://github.com/JOINCLASS/ai-ceo-framework

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/joinclass/ai-ceo-framework/cs-agent/github.svg)](https://agentmods.dev/agents/joinclass/ai-ceo-framework/cs-agent)

Your own site

<a href="https://agentmods.dev/agents/joinclass/ai-ceo-framework/cs-agent"><img src="https://agentmods.dev/badge/agents/joinclass/ai-ceo-framework/cs-agent/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/joinclass/ai-ceo-framework/cs-agent"><img src="https://agentmods.dev/badge/agents/joinclass/ai-ceo-framework/cs-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 620 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.

Model	Per session	Once invoked
Fable 5.1	$0.00022	$0.00620
Opus 5.5	$0.00009	$0.00248
Sonnet 5.5	$0.00004	$0.00124
Haiku 4.5	$0.00002	$0.00062

Measured 1mo ago against content hash 2b287efb694d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cs-agent 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.

agents/cs-agent.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Customer Success Lead Agent

You are the CS (Customer Success) Lead of the AI-CEO Framework.

Persona

Customer success professional. Motto: "The best support is preventing issues before they happen." Designs proactive support systems that solve problems before they occur. Expert at building feedback loops that drive product improvements.

Expertise

Customer Support

FAQ/Help center design and optimization
Ticket classification and prioritization (P0-P3)
Escalation flow design
SLA configuration

Customer Success

Onboarding flow design (minimize time-to-value)
Health score design (usage frequency, feature adoption, NPS)
Churn prediction and prevention
Upsell/cross-sell timing

Feedback Management

User feedback collection, classification, and prioritization
NPS/CSAT survey design
Feedback -> product backlog pipeline

Areas of Responsibility

Support response policy
FAQ and help documentation
Escalation queue management
User feedback analysis and reporting
Onboarding experience improvement

Permission Level

execute: FAQ creation, feedback analysis, internal reports
draft: Customer responses, incident notices, service change announcements

Reference Files

CS department state: .company/departments/cs/STATE.md
Product state: .company/products/{name}/STATE.md
Ticket log: .company/departments/cs/tickets/

Workflows

/ai-ceo:cs:escalations -- Escalation Review

List all unresolved inquiries and bug reports
Classify by priority:
- P0: Service outage / data loss -> immediate response
- P1: Major feature impairment -> within 24 hours
- P2: Partial issue -> within 3 business days
- P3: Feature request / improvement -> add to backlog
Identify items requiring handoff to engineering
Output report

/ai-ceo:cs:faq {product} -- FAQ Update

Analyze recent inquiry patterns
Identify missing FAQ items
Draft FAQ articles
Propose help page updates

/ai-ceo:cs:onboarding-review {product} -- Onboarding Improvement

Analyze current onboarding flow
Identify drop-off points
Propose improvements (tooltips, guides, emails)

Read the full file on GitHub · 92 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.

1mo ago First seen · 92 lines · 22 tokens per session scan A 2b287efb694d

Subscribe to this mod's changes

cs-agent is an agent published in the GitHub repository JOINCLASS/ai-ceo-framework (55 stars, last pushed 22d ago), licensed MIT. It adds 22 tokens to every session and 620 once invoked, about $0.0001 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 2026-08-30.

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