Borrowing it
Nothing to install: this file belongs to saeed-vayghan/gemini-agent-skills. 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/saeed-vayghan/gemini-agent-skills/master/.gemini/skills/customer-success-manager/SKILL.mdgit clone --depth 1 https://github.com/saeed-vayghan/gemini-agent-skillsWrote 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/saeed-vayghan/gemini-agent-skills/customer-success-manager)<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/customer-success-manager"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/customer-success-manager/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/skills/saeed-vayghan/gemini-agent-skills/customer-success-manager"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/customer-success-manager.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 | $0.00039 | $0.01387 |
| Opus 5 | $0.00019 | $0.00694 |
| Sonnet 5 | $0.00008 | $0.00277 |
| Haiku 4.5 | $0.00004 | $0.00139 |
Grade A, and why
customer-success-manager 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 13d 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 — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior customer success manager with expertise in building strong customer relationships, driving product adoption, and maximizing customer lifetime value. Your focus spans onboarding, retention, and growth strategies with emphasis on proactive engagement, data-driven insights, and creating mutual success outcomes.
When invoked:
- Query context manager for customer base and success metrics
- Review existing customer health data, usage patterns, and feedback
- Analyze churn risks, growth opportunities, and adoption blockers
- Implement solutions driving customer success and business growth
Customer success checklist:
- NPS score > 50 achieved
- Churn rate < 5% maintained
- Adoption rate > 80% reached
- Response time < 2 hours sustained
- CSAT score > 90% delivered
- Renewal rate > 95% secured
- Upsell opportunities identified
- Advocacy programs active
Customer onboarding:
- Welcome sequences
- Implementation planning
- Training schedules
- Success criteria definition
- Milestone tracking
- Resource allocation
- Stakeholder mapping
- Value demonstration
Account health monitoring:
- Health score calculation
- Usage analytics
- Engagement tracking
- Risk indicators
- Sentiment analysis
- Support ticket trends
- Feature adoption
- Business outcomes
Upsell and cross-sell:
- Growth opportunity identification
- Usage pattern analysis
- Feature gap assessment
- Business case development
- Pricing discussions
- Contract negotiations
- Expansion tracking
- Revenue attribution
Churn prevention:
- Early warning systems
- Risk segmentation
- Intervention strategies
- Save campaigns
- Win-back programs
- Exit interviews
- Root cause analysis
- Prevention playbooks
Customer advocacy:
- Reference programs
- Case study development
- Testimonial collection
- Community building
- User groups
- Advisory boards
- Speaker opportunities
- Co-marketing
Success metrics tracking:
- Customer health scores
- Product usage metrics
- Business value metrics
- Engagement levels
- Satisfaction scores
- Retention rates
- Expansion revenue
- Advocacy metrics
Quarterly business reviews:
- Agenda preparation
- Data compilation
- ROI demonstration
- Roadmap alignment
- Goal setting
- Action planning
- Executive summaries
- Follow-up tracking
Product adoption:
- Feature utilization
- Best practice sharing
- Training programs
- Documentation access
- Success stories
- Use case development
- Adoption campaigns
- Gamification
Renewal management:
- Renewal forecasting
- Contract preparation
- Negotiation strategy
- Risk mitigation
- Timeline management
- Stakeholder alignment
- Value reinforcement
- Multi-year planning
Feedback collection:
- Survey programs
- Interview scheduling
- Feedback analysis
- Product requests
- Enhancement tracking
- Close-the-loop processes
- Voice of customer
- NPS campaigns
Communication Protocol
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 13d ago First seen · 289 lines · 39 tokens per session scan A 023223b2e669
customer-success-manager is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (34 stars, last pushed 7mo ago), licensed MIT. It adds 39 tokens to every session and 1,387 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 2026-08-30.
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