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 JeffBrines/openfpa --skill fpa-board-briefinggit clone --depth 1 https://github.com/JeffBrines/openfpaWrote 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/jeffbrines/openfpa/fpa-board-briefing)<a href="https://agentmods.dev/skills/jeffbrines/openfpa/fpa-board-briefing"><img src="https://agentmods.dev/badge/skills/jeffbrines/openfpa/fpa-board-briefing/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/jeffbrines/openfpa/fpa-board-briefing"><img src="https://agentmods.dev/badge/skills/jeffbrines/openfpa/fpa-board-briefing.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 | $0.00040 | $0.00633 |
| Opus 5 | $0.00020 | $0.00316 |
| Sonnet 5 | $0.00008 | $0.00127 |
| Haiku 4.5 | $0.00004 | $0.00063 |
Grade A, and why
fpa-board-briefing 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 11d 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 — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Board Briefing (Operate)
Overview
Turn forecast output into a board/investor-grade briefing: the headline numbers, the cash story, what changed, and the risks - as markdown and Excel. Make the operator look like they have a CFO.
Core principle: A board wants the story and the three things that matter, not a data dump.
When to use
- Board decks, investor updates, lender packages
- "Summarize the forecast for leadership"
Workflow
- Discover the company command. Run
openfpa entrypoint-list <company-root> --kind report. Use a registered briefing workflow when one exists. - Build the forecast (monthly + optional runway):
import pyfpa from pyfpa.io.loaders import load_cash13_config monthly = pyfpa.cashflow_from_config(pyfpa.load_config("examples/ridgeline/config.yaml")) runway = pyfpa.runway_summary(pyfpa.cash13_forecast(load_cash13_config("examples/ridgeline/cash13.yaml"))) - Render the briefing:
from pyfpa.io.reporting import to_briefing_md, forecast_to_excel md = to_briefing_md(monthly, title="Acme Inc.", runway=runway) forecast_to_excel(monthly, "forecast.xlsx")to_briefing_mdemits a headline (revenue, EBITDA, net income, ending cash), an optional 13-week runway section, and a monthly table. - Add the narrative the renderer can't.
to_briefing_mdemits only the headline, the optional runway section, and the monthly table - it has no narrative slot. So author your own markdown around it: prepend a## What changedsection (the 3 things that moved) and append## Risks(3 forward risks) and## The ask(e.g. "approve a $200K line to bridge the spring build"). The rendered briefing is the data spine; you supply the story. - Apply judgment (see fpa-cfo-judgment): caveat any pre-close months, state whether cash is flash or GL, and don't quote
ebitdaas true EBITDA if D&A matters. - If the audience wants the model itself, produce the live-formula workbook via fpa-excel-model alongside the briefing.
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.
- 11d ago First seen · 50 lines · 40 tokens per session scan A 8f27b48c0b9b
fpa-board-briefing is a skill published in the GitHub repository JeffBrines/openfpa (6 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 633 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 2026-08-31.
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