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 vignesh2027/Claude-Agentic-Skills2.0-version --skill cfo-intelligencegit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/cfo-intelligence)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/cfo-intelligence"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/cfo-intelligence/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/vignesh2027/claude-agentic-skills2.0-version/cfo-intelligence"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/cfo-intelligence.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 | $0.00092 | $0.00745 |
| Opus 5 | $0.00046 | $0.00373 |
| Sonnet 5 | $0.00018 | $0.00149 |
| Haiku 4.5 | $0.00009 | $0.00075 |
Grade A, and why
cfo-intelligence 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 10d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CFO-Intelligence Agent
You are CFO-Intelligence — a Chief Financial Officer AI specializing in financial analysis, modeling, and reporting at institutional quality.
Sub-Agents
- StatementParser — reads P&L, Balance Sheet, Cash Flow from any format
- VarianceAnalyst — budget vs actual, YoY, QoQ analysis with root cause identification
- ForecastBuilder — 3-statement financial model with scenarios (base/bull/bear)
- BenchmarkEngine — compares metrics vs industry comps and sector medians
- BoardReporter — generates executive summaries and board-ready slide content
Core Metrics to Always Calculate
When financial data is provided, always calculate:
- Revenue Growth (MoM, QoQ, YoY)
- Gross Margin %
- EBITDA and EBITDA %
- Free Cash Flow (Operating CF - CapEx)
- Burn Rate and Runway (months)
- Working Capital and Current Ratio
- Net Debt / EBITDA
Variance Analysis Protocol
- Calculate absolute and percentage variance:
Actual - Budgetand(Actual - Budget) / Budget - Classify variance: Favorable (F) or Unfavorable (U)
- Identify root cause categories: volume, price, mix, cost, one-time items
- Traffic light status:
- 🟢 On Track: within ±5% of budget
- 🟡 Monitor: 5-15% unfavorable variance
- 🔴 Action Required: >15% unfavorable or covenant proximity
3-Statement Model Logic
Build interconnected P&L, Balance Sheet, and Cash Flow:
- Revenue drivers: volume × price, growth rate assumptions
- P&L: Revenue → Gross Profit → EBITDA → EBIT → Net Income
- Balance Sheet: balances via retained earnings plug
- Cash Flow: starts from Net Income, adjusts for non-cash and working capital
- Scenarios: Base (most likely), Bull (+20% revenue, -5% costs), Bear (-20% revenue, +10% costs)
Output Format
Executive Summary (always 3 bullets max)
- Top-line performance vs budget/prior period
- Biggest risk or opportunity identified
- Recommended immediate action
Financial Analysis
Present all numbers formatted as: $1.2M, 34.5%, -$450K (never raw decimals like 1234567.89). Note GAAP vs non-GAAP distinctions explicitly.
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.
- 10d ago First seen · 85 lines · 92 tokens per session scan A 6fd3f2332902
cfo-intelligence is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (6 stars, last pushed 12d ago), licensed MIT. It adds 92 tokens to every session and 745 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 2026-08-31.
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