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 alebgl77/claude-inc --skill financial-statementsgit clone --depth 1 https://github.com/alebgl77/claude-incWrote 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/alebgl77/claude-inc/financial-statements)<a href="https://agentmods.dev/skills/alebgl77/claude-inc/financial-statements"><img src="https://agentmods.dev/badge/skills/alebgl77/claude-inc/financial-statements.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Output Handling · line 27 Output size or generation rate is not bounded. Unbounded output enables denial-of-service through resource exhaustion, log flooding, or context-window stuffing.Fix: Set explicit limits on output length, generation count, and rate. Use max_tokens and truncation to prevent unbounded output.
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 | $0.00097 | $0.01174 |
| Opus 5 | $0.00048 | $0.00587 |
| Sonnet 5 | $0.00019 | $0.00235 |
| Haiku 4.5 | $0.00010 | $0.00117 |
Grade A, and why
financial-statements 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 7d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Statements — Statement Builder
"Build the statements."
When to use
- A trial balance needs to become statements — "build a P&L and balance sheet from this TB".
- A raw transaction export needs rolling up — "here's the ledger dump, make me financials".
- Statements exist but fail internal checks — "my balance sheet is off by 3,412 — find it".
- Someone external asked for financials — "the investor wants Q2 statements by Friday".
- You need a statement-level base before deeper work — flux commentary, audit prep, a close pack.
Workflow
- Ingest with code. Load the pasted table or CSV/XLSX (pandas or equivalent — never mental math on long columns). Standardize columns, normalize debit/credit signs, and confirm the trial balance foots: total debits = total credits. If it does not, stop and report the gap before building anything on top.
- Map to a standard chart. Classify every account — Assets, Liabilities, Equity, Revenue, COGS, Operating expenses, Other income/expense, Tax — with current vs non-current splits for balance sheet lines. Every judgment mapping is recorded as an assumption.
- Build the P&L. Revenue → COGS → gross profit → opex by category → operating income → other items → tax → net income, with subtotals and margins as % of revenue.
- Build the balance sheet. Current and non-current sections; roll period net income into retained earnings; present total assets against total liabilities + equity.
- Build the cash flow (indirect). Start at net income; add back non-cash items (depreciation, amortization, write-offs); adjust for working-capital deltas (AR, inventory, prepaids, AP, accruals); then investing and financing; land on net change in cash.
- Run tie-outs in code, not by eye: (a) balance sheet balances; (b) P&L net income equals net income in the equity roll-forward; (c) cash flow ending cash equals balance sheet cash; (d) every statement subtotal re-foots from the mapped trial balance.
- Scan for anomalies. Contra-normal balances (credit AR, debit revenue), hard swings vs prior period when one is provided, suspicious round numbers, unmapped orphans. Each gets a note and a suggested action.
- Deliver. Fill the output template; when the user wants artifacts, write
statements-<period>.mdand/orstatements-<period>.xlsxalongside the source data.
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.
- 7d ago First seen · 90 lines · 97 tokens per session scan A 1b78937189d9
financial-statements is a skill published in the GitHub repository alebgl77/claude-inc (14 stars, last pushed 5d ago), licensed MIT. It adds 97 tokens to every session and 1,174 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 2026-08-30.
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