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.
npx skills add bestagentkits/agency-skills --skill claude-skills-business-growth-customer-success-manager-customer-success-managergit clone --depth 1 https://github.com/bestagentkits/agency-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/bestagentkits/agency-skills/claude-skills-business-growth-customer-success-manager-customer-success-manager)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/claude-skills-business-growth-customer-success-manager-customer-success-manager"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/claude-skills-business-growth-customer-success-manager-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/bestagentkits/agency-skills/claude-skills-business-growth-customer-success-manager-customer-success-manager"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/claude-skills-business-growth-customer-success-manager-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 | $0.00108 | $0.02018 |
| Opus 5 | $0.00054 | $0.01009 |
| Sonnet 5 | $0.00022 | $0.00404 |
| Haiku 4.5 | $0.00011 | $0.00202 |
Grade A, and why
claude-skills-business-growth-customer-success-manager-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 9d 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
89% identical to customer-success-manager — 12 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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Customer Success Manager
Production-grade customer success analytics with multi-dimensional health scoring, churn risk prediction, and expansion opportunity identification. Three Python CLI tools provide deterministic, repeatable analysis using standard library only -- no external dependencies, no API calls, no ML models.
Table of Contents
- Input Requirements
- Output Formats
- How to Use
- Scripts
- Reference Guides
- Templates
- Best Practices
- Limitations
Input Requirements
All scripts accept a JSON file as positional input argument. See assets/sample_customer_data.json for complete schema examples and sample data.
Health Score Calculator
Required fields per customer object: customer_id, name, segment, arr, and nested objects usage (login_frequency, feature_adoption, dau_mau_ratio), engagement (support_ticket_volume, meeting_attendance, nps_score, csat_score), support (open_tickets, escalation_rate, avg_resolution_hours), relationship (executive_sponsor_engagement, multi_threading_depth, renewal_sentiment), and previous_period scores for trend analysis.
Churn Risk Analyzer
Required fields per customer object: customer_id, name, segment, arr, contract_end_date, and nested objects usage_decline, engagement_drop, support_issues, relationship_signals, and commercial_factors.
Expansion Opportunity Scorer
Required fields per customer object: customer_id, name, segment, arr, and nested objects contract (licensed_seats, active_seats, plan_tier, available_tiers), product_usage (per-module adoption flags and usage percentages), and departments (current and potential).
Output Formats
All scripts support two output formats via the --format flag:
text(default): Human-readable formatted output for terminal viewingjson: Machine-readable JSON output for integrations and pipelines
What ships with it
13 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.
- agents/openai.yaml 280 B
- assets/executive_business_review_template.md 6.8 KB
- assets/expected_output.json 4.2 KB
- assets/onboarding_checklist_template.md 7.2 KB
- assets/qbr_template.md 4.6 KB
- assets/sample_customer_data.json 9.0 KB
- assets/success_plan_template.md 5.8 KB
- references/cs-metrics-benchmarks.md 8.9 KB
- references/cs-playbooks.md 10 KB
- references/health-scoring-framework.md 8.3 KB
- scripts/churn_risk_analyzer.py 19 KB runs code
- scripts/expansion_opportunity_scorer.py 15 KB runs code
- scripts/health_score_calculator.py 18 KB runs code
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.
- 9d ago First seen · 216 lines · 108 tokens per session scan A aa1c91c4ff8b
claude-skills-business-growth-customer-success-manager-customer-success-manager is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 108 tokens to every session and 2,018 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to customer-success-manager, differing in 12 lines, and is treated as a copy.
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