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/financial-health)<a href="https://agentmods.dev/commands/ricneves-ai/flowgrammers-skills/financial-health"><img src="https://agentmods.dev/badge/commands/ricneves-ai/flowgrammers-skills/financial-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/financial-health"><img src="https://agentmods.dev/badge/commands/ricneves-ai/flowgrammers-skills/financial-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 | $0.00046 | $0.00391 |
| Opus 5 | $0.00023 | $0.00196 |
| Sonnet 5 | $0.00009 | $0.00078 |
| Haiku 4.5 | $0.00005 | $0.00039 |
Grade A, and why
financial-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
/financial-health
Analisa demonstrações financeiras, constrói modelos de valuation, avalia variações orçamentárias e elabora projeções.
Uso
/financial-health ratios <financial_data.json> [--format json|text]
/financial-health dcf <valuation_data.json> [--format json|text]
/financial-health budget <budget_data.json> [--format json|text]
/financial-health forecast <forecast_data.json> [--format json|text]
Exemplos
/financial-health ratios financeiros_trimestre.json --format json
/financial-health dcf valuation_empresa.json
/financial-health budget orcamento_q1.json --format json
/financial-health forecast historico_receita.json
Scripts
finance/financial-analyst/scripts/ratio_calculator.py— Índices de rentabilidade, liquidez, alavancagem, eficiência e valuationfinance/financial-analyst/scripts/dcf_valuation.py— Valuation DCF de empresa e equity com análise de sensibilidadefinance/financial-analyst/scripts/budget_variance_analyzer.py— Análise de variação realizado vs orçado vs ano anteriorfinance/financial-analyst/scripts/forecast_builder.py— Previsão de receita baseada em drivers com modelagem de cenários
Referência de Skill
→ finance/financial-analyst/SKILL.md
Comandos Relacionados
/saas-health— Métricas específicas de SaaS (ARR, MRR, churn, CAC, LTV, Quick Ratio)
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 · 39 lines · 0 tokens per session scan A 266609a44abe
financial-health is a command published in the GitHub repository ricneves-ai/flowgrammers-skills (112 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 391 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 2026-09-03.
Other commands, from other repositories
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valuation-methods
Valuation methods analysis — multiples, DCF inputs, PEG integration, valuation assumption extraction.
merit-reconcile
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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.