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.
git clone --depth 1 https://github.com/ricneves-ai/flowgrammers-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/commands/ricneves-ai/flowgrammers-skills/saas-health)<a href="https://agentmods.dev/commands/ricneves-ai/flowgrammers-skills/saas-health"><img src="https://agentmods.dev/badge/commands/ricneves-ai/flowgrammers-skills/saas-health/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/commands/ricneves-ai/flowgrammers-skills/saas-health"><img src="https://agentmods.dev/badge/commands/ricneves-ai/flowgrammers-skills/saas-health.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 | $0.00054 | $0.00443 |
| Opus 5 | $0.00027 | $0.00221 |
| Sonnet 5 | $0.00011 | $0.00089 |
| Haiku 4.5 | $0.00005 | $0.00044 |
Grade A, and why
saas-health 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.
What it actually says
/saas-health
Calcula métricas de saúde financeira SaaS a partir de números brutos do negócio, compara com benchmarks do setor e projeta resultados futuros.
Uso
/saas-health metrics --mrr <valor> [--customers <n>] [--churned <n>] [--json]
/saas-health quick-ratio --new-mrr <valor> --churned <valor> [--expansion <valor>]
/saas-health simulate --mrr <valor> --growth <pct> --churn <pct> --cac <valor> [--json]
Exemplos
/saas-health metrics --mrr 80000 --customers 200 --churned 3 --new-customers 15 --sm-spend 25000
/saas-health quick-ratio --new-mrr 10000 --expansion 2000 --churned 3000 --contraction 500
/saas-health simulate --mrr 50000 --growth 10 --churn 3 --cac 2000
Scripts
finance/saas-metrics-coach/scripts/metrics_calculator.py— Métricas SaaS principais (ARR, MRR, churn, CAC, LTV, NRR, payback)finance/saas-metrics-coach/scripts/quick_ratio_calculator.py— Índice de eficiência de crescimentofinance/saas-metrics-coach/scripts/unit_economics_simulator.py— Projeção de 12 meses
Referência de Skill
→ finance/saas-metrics-coach/SKILL.md
Comandos Relacionados
/financial-health— Análise financeira tradicional (índices, DCF, orçamentos)
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 · 36 lines · 0 tokens per session scan A 7dedd41e0fcf
saas-health is a command published in the GitHub repository ricneves-ai/flowgrammers-skills (112 stars, last pushed 3mo ago), licensed MIT. It adds 54 tokens to every session and 443 once invoked, about $0.0003 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 2026-09-03.
Other commands, from other repositories
analyze-bond-rv
Analyze a bond's relative value vs yield curves and credit spreads with scenario stress testing.
valuation-methods
Valuation methods analysis — multiples, DCF inputs, PEG integration, valuation assumption extraction.
merit-reconcile
Preview or check the status of Stripe → Merit payout reconciliation (read-only).
audit-checklist
Perform an internal audit, review controls, or prepare for an external financial audit.
scan
Scan AWS account for cost optimization.
audit
Scan for non-kernel money math. Rebuild critical flows as JournalEntrys. Replay and prove. Complements /ledger-verify.