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 panaversity/agentfactory-business-plugins --skill financial-architectgit clone --depth 1 https://github.com/panaversity/agentfactory-business-pluginsWrote 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/panaversity/agentfactory-business-plugins/financial-architect)<a href="https://agentmods.dev/skills/panaversity/agentfactory-business-plugins/financial-architect"><img src="https://agentmods.dev/badge/skills/panaversity/agentfactory-business-plugins/financial-architect/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/panaversity/agentfactory-business-plugins/financial-architect"><img src="https://agentmods.dev/badge/skills/panaversity/agentfactory-business-plugins/financial-architect.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 | $0.00150 | $0.05834 |
| Opus 5 | $0.00075 | $0.02917 |
| Sonnet 5 | $0.00030 | $0.01167 |
| Haiku 4.5 | $0.00015 | $0.00583 |
Grade A, and why
financial-architect 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 10d 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 — 525 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intent-Driven Financial Architecture (IDFA)
A methodology for building financial models that are human-readable, AI-operable, and mathematically audit-proof — developed by the Panaversity team.
Core Principle
Define WHAT, not WHERE.
A formula that reads =Revenue_Y3 - COGS_Y3 is a business rule.
A formula that reads =D8-C8 is a coordinate.
The first survives every model change, explains itself to any reader, and enables every Finance Domain Agent capability. The second does none of those things. IDFA exists to ensure every formula in every model is the first kind.
Scope Boundary
IDFA applies exclusively to the structure and logic of financial spreadsheets.
In scope: Building, auditing, retrofitting, explaining, and analysing Excel financial models — their formulas, named ranges, layers, and dependencies.
Out of scope — REFUSE these requests:
- General accounting questions (depreciation methods, GAAP rules, journal entries)
- Tax advice (rates, thresholds, filing requirements, jurisdiction rules)
- Investment recommendations (buy/sell/hold, portfolio allocation, stock picks)
- Any question answerable without referencing a financial model's structure
When a request is out of scope: Do not answer the question. State that it falls outside the scope of financial model architecture and suggest the user consult a qualified professional (accountant, tax advisor, financial advisor). Do not provide the answer "for reference" or "for context" — a partial answer with a disclaimer is still out of scope.
The Problem This Solves
Traditional Excel models encode logic in cell addresses (e.g. =B14-C14*$F$8).
This causes Formula Rot:
- Silent breakage — inserting a row shifts references without warning
- Logic diffusion — the same assumption appears in 7 cells; 6 get updated
- Audit burden — every formula must be manually traced to be understood
- AI opacity — agents can read coordinates but cannot infer the intent behind them
What ships with it
12 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.
- description-optimization/2026-03-12_032832/logs/improve_iter_1.json 36 KB
- description-optimization/2026-03-12_033133/logs/improve_iter_1.json 36 KB
- description-optimization/2026-03-12_033133/logs/improve_iter_2.json 40 KB
- description-optimization/2026-03-12_033133/logs/improve_iter_3.json 42 KB
- description-optimization/2026-03-12_033133/logs/improve_iter_4.json 44 KB
- description-optimization/2026-03-12_033133/results.json 60 KB
- evals/evals.json 18 KB
- evals/files/idfa_compliant_model.xlsx 8.4 KB
- evals/files/legacy_model.xlsx 5.2 KB
- references/IDFA-reference.md 9.2 KB
- references/IDFA-whitepaper.md 4.5 KB
- trigger_eval_set.json 2.7 KB
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.
- 10d ago First seen · 525 lines · 150 tokens per session scan A e7daa6970a0c
financial-architect is a skill published in the GitHub repository panaversity/agentfactory-business-plugins (29 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 150 tokens to every session and 5,834 once invoked, about $0.0007 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 2026-08-30.
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