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/anthropics/knowledge-work-plugins/financial-statementsnpx skills add anthropics/knowledge-work-plugins --skill financial-statementsgit clone --depth 1 https://github.com/anthropics/knowledge-work-pluginsWhat 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 | $0.00074 | $0.03354 |
| Opus 5 | $0.00037 | $0.01677 |
| Sonnet 5 | $0.00015 | $0.00671 |
| Haiku 4.5 | $0.00007 | $0.00335 |
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 3d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- financial-statements — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 336 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/financial-statements
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Important: This command assists with financial statement workflows but does not provide financial advice. All statements should be reviewed by qualified financial professionals before use in reporting or filings.
Generate financial statements with period-over-period comparison and variance analysis. The workflow below walks through income statement generation; balance sheet and cash flow statement reference formats, GAAP presentation requirements (ASC 220/210/230), and common period-end adjustments are included as supporting reference material.
Usage
/financial-statements <period-type> <period>
Arguments
period-type— The reporting period type:monthly— Single month P&L with prior month and prior year month comparisonquarterly— Quarter P&L with prior quarter and prior year quarter comparisonannual— Full year P&L with prior year comparisonytd— Year-to-date P&L with prior year YTD comparison
period— The period to report (e.g.,2024-12,2024-Q4,2024)
Workflow
1. Gather Financial Data
If ~~erp or ~~data warehouse is connected:
- Pull trial balance or income statement data for the specified period
- Pull comparison period data (prior period, prior year, budget/forecast)
- Pull account hierarchy and groupings for presentation
If no data source is connected:
Connect ~~erp or ~~data warehouse to pull financial data automatically. You can also paste trial balance data, upload a spreadsheet, or provide income statement data for analysis.
Prompt the user to provide:
- Current period revenue and expense data (by account or category)
- Comparison period data (prior period, prior year, and/or budget)
- Any known adjustments or reclassifications
2. Generate Income Statement
Present in standard multi-column format:
INCOME STATEMENT
Period: [Period description]
(in thousands, unless otherwise noted)
Current Prior Variance Variance Budget Budget
Period Period ($) (%) Amount Var ($)
-------- -------- -------- -------- -------- --------
REVENUE
Product revenue $XX,XXX $XX,XXX $X,XXX X.X% $XX,XXX $X,XXX
Service revenue $XX,XXX $XX,XXX $X,XXX X.X% $XX,XXX $X,XXX
Other revenue $XX,XXX $XX,XXX $X,XXX X.X% $XX,XXX $X,XXX
-------- -------- -------- -------- --------
TOTAL REVENUE $XX,XXX $XX,XXX $X,XXX X.X% $XX,XXX $X,XXX
COST OF REVENUE
[Cost items] $XX,XXX $XX,XXX $X,XXX X.X% $XX,XXX $X,XXX
-------- -------- -------- -------- --------
GROSS PROFIT $XX,XXX $XX,XXX $X,XXX X.X% $XX,XXX $X,XXX
Gross Margin XX.X% XX.X%
OPERATING EXPENSES
Research & development $XX,XXX $XX,XXX $X,XXX X.X% $XX,XXX $X,XXX
Sales & marketing $XX,XXX $XX,XXX $X,XXX X.X% $XX,XXX $X,XXX
General & administrative $XX,XXX $XX,XXX $X,XXX X.X% $XX,XXX $X,XXX
-------- -------- -------- -------- --------
TOTAL OPERATING EXPENSES $XX,XXX $XX,XXX $X,XXX X.X% $XX,XXX $X,XXX
OPERATING INCOME (LOSS) $XX,XXX $XX,XXX $X,XXX X.X% $XX,XXX $X,XXX
Operating Margin XX.X% XX.X%
OTHER INCOME (EXPENSE)
Interest income $XX,XXX $XX,XXX $X,XXX X.X%
Interest expense ($XX,XXX) ($XX,XXX) $X,XXX X.X%
Other, net $XX,XXX $XX,XXX $X,XXX X.X%
-------- -------- --------
TOTAL OTHER INCOME (EXPENSE) $XX,XXX $XX,XXX $X,XXX X.X%
INCOME BEFORE TAXES $XX,XXX $XX,XXX $X,XXX X.X%
Income tax expense $XX,XXX $XX,XXX $X,XXX X.X%
-------- -------- --------
NET INCOME (LOSS) $XX,XXX $XX,XXX $X,XXX X.X% $XX,XXX $X,XXX
Net Margin XX.X% XX.X%
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.
- 3d ago First seen · 336 lines · 74 tokens per session scan A 1a9ba1cc8549
financial-statements is a skill published in the GitHub repository anthropics/knowledge-work-plugins (23,791 stars, last pushed yesterday), licensed Apache-2.0. It adds 74 tokens to every session and 3,354 once invoked, about $0.0004 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.
Other skills, from other repositories
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
Use when evaluating A-share limit-up (涨停板) setups through Chen Hao's sentiment and momentum lens: market emotion cycles, board strength, follow-through, and short-term aggressive momentum trading.
copy-trading-solana
Copy trade Solana wallets - mirror trades automatically.
southwest
Search Southwest Airlines fares and points pricing via Patchright browser automation. SW is not in any GDS or API. Covers all fare classes, Companion Pass value, and fare drop monitoring.
alpaca-trade-api-sdk
Integrate and build on the @alpacahq/alpaca-trade-api TypeScript SDK for the Alpaca Trading and Market Data APIs (the unified Alpaca client, ergonomic order builders, normalized market-data shapes, pagination, typed errors, resilience, and real-time streaming). Use when writing or reviewing code that imports…
alphagbm-greeks
Greeks dashboard for any option contract or multi-leg position. Covers first-order Greeks (Delta, Gamma, Theta, Vega, Rho) and second-order Greeks (Charm, Vanna, Volga). Returns individual and position-level Greeks with scenario heatmaps. Use when: checking option sensitivities, managing position risk, understanding…