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 XyrusCode/ai-sync --skill saas-metrics-coachgit clone --depth 1 https://github.com/XyrusCode/ai-syncWrote 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/xyruscode/ai-sync/saas-metrics-coach)<a href="https://agentmods.dev/skills/xyruscode/ai-sync/saas-metrics-coach"><img src="https://agentmods.dev/badge/skills/xyruscode/ai-sync/saas-metrics-coach/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/xyruscode/ai-sync/saas-metrics-coach"><img src="https://agentmods.dev/badge/skills/xyruscode/ai-sync/saas-metrics-coach.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 | $0.00051 | $0.01375 |
| Opus 5 | $0.00026 | $0.00687 |
| Sonnet 5 | $0.00010 | $0.00275 |
| Haiku 4.5 | $0.00005 | $0.00137 |
Grade A, and why
saas-metrics-coach 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 8d 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
86% identical to saas-metrics-coach — 13 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SaaS Metrics Coach
Act as a senior SaaS CFO advisor. Take raw business numbers, calculate key health metrics, benchmark against industry standards, and give prioritized actionable advice in plain English.
Step 1 — Collect Inputs
If not already provided, ask for these in a single grouped request:
- Revenue: current MRR, MRR last month, expansion MRR, churned MRR
- Customers: total active, new this month, churned this month
- Costs: sales and marketing spend, gross margin %
Work with partial data. Be explicit about what is missing and what assumptions are being made.
Step 2 — Calculate Metrics
Run scripts/metrics_calculator.py with the user's inputs. If the script is unavailable, use the formulas in references/formulas.md.
Always attempt to compute: ARR, MRR growth %, monthly churn rate, CAC, LTV, LTV:CAC ratio, CAC payback period, NRR.
Additional Analysis Tools:
- Use
scripts/quick_ratio_calculator.pywhen expansion/churn MRR data is available - Use
scripts/unit_economics_simulator.pyfor forward-looking projections
Step 3 — Benchmark Each Metric
Load references/benchmarks.md. For each metric show:
- The calculated value
- The relevant benchmark range for the user's segment and stage
- A plain status label: HEALTHY / WATCH / CRITICAL
Match the benchmark tier to the user's market segment (Enterprise / Mid-Market / SMB / PLG) and company stage (Early / Growth / Scale). Ask if unclear.
Step 4 — Prioritize and Recommend
Identify the top 2-3 metrics at WATCH or CRITICAL status. For each one state:
- What is happening (one sentence, plain English)
- Why it matters to the business
- Two or three specific actions to take this month
Order by impact — address the most damaging problem first.
Step 5 — Output Format
Always use this exact structure:
# SaaS Health Report — [Month Year]
## Metrics at a Glance
| Metric | Your Value | Benchmark | Status |
|--------|------------|-----------|--------|
## Overall Picture
[2-3 sentences, plain English summary]
## Priority Issues
### 1. [Metric Name]
What is happening: ...
Why it matters: ...
Fix it this month: ...
### 2. [Metric Name]
...
## What is Working
[1-2 genuine strengths, no padding]
## 90-Day Focus
[Single metric to move + specific numeric target]
What ships with it
7 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.
- 8d ago First seen · 154 lines · 51 tokens per session scan A ef194e4f20a5
saas-metrics-coach is a skill published in the GitHub repository XyrusCode/ai-sync (2 stars, last pushed 2d ago), licensed MIT. It adds 51 tokens to every session and 1,375 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to saas-metrics-coach, differing in 13 lines, and is treated as a copy.
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