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 frank-luongt/faos-skills-marketplace --skill revenue-operationsgit clone --depth 1 https://github.com/frank-luongt/faos-skills-marketplaceWrote 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/frank-luongt/faos-skills-marketplace/revenue-operations)<a href="https://agentmods.dev/skills/frank-luongt/faos-skills-marketplace/revenue-operations"><img src="https://agentmods.dev/badge/skills/frank-luongt/faos-skills-marketplace/revenue-operations/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/frank-luongt/faos-skills-marketplace/revenue-operations"><img src="https://agentmods.dev/badge/skills/frank-luongt/faos-skills-marketplace/revenue-operations.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 | $0.00000 | $0.02165 |
| Opus 5.5 | $0.00000 | $0.00866 |
| Sonnet 5.5 | $0.00000 | $0.00433 |
| Haiku 4.5 | $0.00000 | $0.00216 |
Grade A, and why
revenue-operations 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.
How it starts
The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: revenue-operations description: Analyze sales pipeline health, forecast revenue, measure quota attainment, and optimize funnel conversion. Use when building RevOps dashboards, diagnosing pipeline gaps, forecasting quarterly revenue, or aligning sales-marketing-CS handoffs. tags: [revops, sales, pipeline, forecasting]
Revenue Operations
End-to-end RevOps framework for pipeline analytics, revenue forecasting, quota management, and cross-functional alignment between Sales, Marketing, and Customer Success.
Use this skill when
- Building or reviewing a RevOps dashboard
- Diagnosing pipeline coverage gaps or stage bottlenecks
- Forecasting quarterly or annual revenue
- Analyzing quota attainment at individual, team, or org level
- Designing sales-marketing-CS handoff processes
- Calculating key revenue metrics (ARR, NRR, Magic Number, LTV:CAC)
Do not use this skill when
- Designing pricing tiers or packaging (use
pricing-strategy) - Analyzing early-stage startup metrics with no pipeline (use
startup-metrics-framework) - Running individual A/B tests on sales emails (use
ab-test-analysis) - Building the actual dashboard infrastructure (use data engineering skills)
Instructions
- Assess pipeline health using the Pipeline Health Scorecard.
- Forecast revenue using the appropriate methodology (weighted, commit-based, or historical).
- Measure quota attainment at individual and team levels.
- Analyze funnel conversion stage by stage to identify bottlenecks.
- Align cross-functional handoffs using the Sales-Marketing Alignment Framework.
- Report using the Quarterly RevOps Report template.
RevOps Metrics Taxonomy
Master reference for revenue metrics — know these before building any dashboard:
Growth Metrics
| Metric | Formula | Benchmark (SaaS) |
|---|---|---|
| ARR | MRR x 12 | Growth target: 2-3x <$10M, 1.5-2x >$10M |
| MRR | Sum of all monthly recurring revenue | Track net new, expansion, contraction, churn |
| Net Revenue Retention (NRR) | (Starting MRR + Expansion - Contraction - Churn) / Starting MRR | >120% = elite, >100% = healthy |
| Gross Revenue Retention (GRR) | (Starting MRR - Contraction - Churn) / Starting MRR | >90% = healthy, <85% = problem |
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 · 229 lines · 0 tokens per session scan A 0d6dea7fb39b
revenue-operations is a skill published in the GitHub repository frank-luongt/faos-skills-marketplace (37 stars, last pushed 3mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,165 tokens. 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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