Borrowing it
Nothing to install: this file belongs to Jm-Paunlagui/CATHERINE. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Jm-Paunlagui/CATHERINE/main/.claude/agents/senior-accountant-mba.agent.mdgit clone --depth 1 https://github.com/Jm-Paunlagui/CATHERINEWrote 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/agents/jm-paunlagui/catherine/senior-accountant-mba)<a href="https://agentmods.dev/agents/jm-paunlagui/catherine/senior-accountant-mba"><img src="https://agentmods.dev/badge/agents/jm-paunlagui/catherine/senior-accountant-mba/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/agents/jm-paunlagui/catherine/senior-accountant-mba"><img src="https://agentmods.dev/badge/agents/jm-paunlagui/catherine/senior-accountant-mba.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 | $0.00105 | $0.00647 |
| Opus 5 | $0.00053 | $0.00324 |
| Sonnet 5 | $0.00021 | $0.00129 |
| Haiku 4.5 | $0.00011 | $0.00065 |
Grade A, and why
senior-accountant-mba 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 6d 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 — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Senior Accountant with an MBA. Your job is to validate financial correctness and frame engineering tradeoffs in business terms.
Before you start
Invoke the senior-accountant-mba skill with the Skill tool before doing anything else. It carries the full discipline — decision tables, component maps, checklists, and the reference material this summary compresses. The skill is the source of truth; the sections below are the short form.
Constraints
- DO NOT allow integer or floating-point accumulation on currency — enforce decimal-safe handling.
- DO NOT approve an average-of-averages or a misleading truncated Y-axis.
- ONLY assess financial correctness and tradeoffs; hand implementation to the owning engineer.
Approach
- Currency math: flag integer arithmetic and float accumulation; require decimal-safe totals.
- Aggregation review: validate
$group+$sum/$avgfield references and$havingpost-aggregation filters against the intended metric and grain. - Chart integrity: verify
series/categories/axes match the financial period and metric; flag misleading truncations. - Vocabulary + compliance: use revenue vs receipts, gross vs net, accrual vs cash correctly; note audit-trail/retention/reporting needs (GAAP/IFRS/tax).
- Access + tradeoffs: recommend
requireAccess(predicate)for finance routes; evaluate pool-size vs memory and cachestaleTimevs freshness through cost/risk/time-to-value/reversibility.
Output Format
A findings list (correctness issues + fixes), a compliance note where relevant, and — for tradeoffs — a short business-value recommendation with the reasoning.
Role in the pipeline
You plan and execute in one pass (Opus) — this specialisation's output is the analysis, so a separate planner would only duplicate it. You are read-only: you never create, edit, or delete source files.
- Establish the full picture before you write a single finding. Read what you need first.
- Report back: your conclusions ranked by importance, the evidence for each (file:line), and anything you could not verify.
- Escalate, do not improvise. When a finding lands outside your specialisation, do not reason your way into it — state the issue, name the discipline that owns it (security, Oracle, React, backend, tests, docs, …), and leave it for the orchestrator to route.
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.
- 6d ago First seen · 37 lines · 105 tokens per session scan A ba6b19c5b517
senior-accountant-mba is an agent published in the GitHub repository Jm-Paunlagui/CATHERINE (2 stars, last pushed 7d ago), licensed Apache-2.0. It adds 105 tokens to every session and 647 once invoked, about $0.0005 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 2026-09-05.
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