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 agentii-ai/agentii-investment-intelligence --skill xlsx-financialsgit clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligenceWrote 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/agentii-ai/agentii-investment-intelligence/xlsx-financials)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/xlsx-financials"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/xlsx-financials/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/agentii-ai/agentii-investment-intelligence/xlsx-financials"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/xlsx-financials.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00048 | $0.01882 |
| Opus 5.5 | $0.00019 | $0.00753 |
| Sonnet 5.5 | $0.00010 | $0.00376 |
| Haiku 4.5 | $0.00005 | $0.00188 |
Grade A, and why
xlsx-financials 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 1mo 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
xlsx-financials
Shared skill for producing formatted Excel workbooks from XBRL financial statement data. Invoked as a sub-skill by financial modeling and analysis skills. Centralizes formatting, formula auditing, and calculation arc cross-validation in one place.
Triggers
- Produce Excel financial statements for {ticker}
- Generate .xlsx workbook from XBRL data
- Export income statement to Excel
- Export balance sheet to Excel
- Export cash flow statement to Excel
- Render financial statements as spreadsheet
- Create formatted financial workbook
- Build .xlsx from get_statement output
- Financial model Excel export
- Statement Excel output
Defaults
| Parameter | Default | Notes |
|---|---|---|
| statement_type | income_statement | income_statement, balance_sheet, cash_flow, equity, oci |
| fiscal_year | (latest available) | Integer year |
| include_calculations | true | Include calculation arc weights for cross-validation |
Methodology
Retrieval Scope
structured_only — this skill wraps the XBRL get_statement endpoint and does not perform document search. It is purely a data-to-Excel rendering pipeline.
Retrieval Strategy
See contracts/retrieval.md for the canonical decision tree; skill-specific retrieval detail is in references/methodology.md.
Temporal Scope
Default: latest fiscal year (max 12). Users can request specific fiscal years for multi-year comparison.
Tool Allowlist
get_statement: fetches rendered financial statement data with period columnsget_statement_structure: fetches hierarchical concept tree withorder_in_parentsearch_xbrl_facts: fallback for individual concept valueslist_xbrl_concepts: concept discovery when structure tree is unavailable- Excel generation: uses
Bashto execute a Python script withopenpyxl(following Anthropic FSI xlsx-author conventions)
Protocol
Step-by-step execution detail is in references/methodology.md.
Deliverable Chain
What ships with it
8 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.
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.
- 1mo ago Changed · +2 lines 2ec84def1d3a
- 1mo ago First seen · 137 lines · 48 tokens per session scan A f56f3d7cfaae
xlsx-financials is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (209 stars, last pushed yesterday), licensed Apache-2.0. It adds 48 tokens to every session and 1,882 once invoked, about $0.0002 per session on Opus 5.5. 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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