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 agentmods add skills/nomarj/sigil/financial-opsnpx skills add NOMARJ/sigil --skill financial-opsgit clone --depth 1 https://github.com/NOMARJ/sigilWrote 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/nomarj/sigil/financial-ops)<a href="https://agentmods.dev/skills/nomarj/sigil/financial-ops"><img src="https://agentmods.dev/badge/skills/nomarj/sigil/financial-ops.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.02281 |
| Opus 5 | $0.00000 | $0.01141 |
| Sonnet 5 | $0.00000 | $0.00456 |
| Haiku 4.5 | $0.00000 | $0.00228 |
Grade A, and why
financial-ops 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Spreadsheet Operations
description: Two capabilities in one skill — audit spreadsheets for formula accuracy and model integrity, and clean messy data for analysis. Covers formula-level checks (errors, hardcodes, inconsistencies), full financial model audits (BS balance, cash tie-out, logic sanity), and data cleanup (whitespace, casing, duplicates, type coercion, date normalization). Triggers on "audit this sheet", "check my formulas", "find formula errors", "QA this spreadsheet", "model check", "model won't balance", "clean this data", "normalize this data", "fix formatting", "dedupe", "this data is messy".
Environment
- Standalone .xlsx file: Use Python/openpyxl. Read cell values and formulas programmatically.
- If asked to generate a cleaned/audited copy: Write to a new file, never overwrite the original without explicit permission.
No paid MCP dependencies. All operations use openpyxl or pandas — nothing that requires a subscription or external API.
Part A: Spreadsheet Audit
Audit formulas and data for accuracy and mistakes. Scope determines depth.
Step 1: Determine Scope
If the user already gave a scope, use it. Otherwise ask:
What scope do you want me to audit?
- selection — just a specific range (e.g.
A1:F200)- sheet — one sheet only
- model — the whole workbook, including financial-model integrity checks (BS balance, cash tie-out, roll-forwards, logic sanity)
The model scope is the deepest — use it for DCF, LBO, 3-statement, merger, comps, or any integrated financial model.
Step 2: Formula-Level Checks (ALL scopes)
| Check | What to look for |
|---|---|
| Formula errors | #REF!, #VALUE!, #N/A, #DIV/0!, #NAME? |
| Hardcodes inside formulas | =A1*1.05 — the 1.05 should be a cell reference |
| Inconsistent formulas | A formula that breaks the pattern of its neighbors in a row/column |
| Off-by-one ranges | SUM/AVERAGE that misses the first or last row |
| Pasted-over formulas | Cell that looks like a formula but is actually a hardcoded value |
| Circular references | Intentional or accidental |
| Broken cross-sheet links | References to cells that moved or were deleted |
| Unit/scale mismatches | Thousands mixed with millions, % stored as whole numbers |
| Hidden rows/tabs | Could contain overrides or stale calculations |
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 · 211 lines · 0 tokens per session scan A bbbfc663bc79
financial-ops is a skill published in the GitHub repository NOMARJ/sigil (5 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,281 tokens. 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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