financial-statement-analyzer

financial-statement-analyzer is a skill for Claude Code, Codex from serejaris/kimi-skills. It costs 65 tokens per session (2,143 once invoked), scanned A, original, MIT.

A financial-statement analysis tool for income statements, balance sheets, and cash-flow statements. It compares year-over-year results (the same period across years), quarter-over-quarter results (consecutive quarters), and scans for unusual patterns.

In plain words
What is it for?
Use it to analyze financial trends, calculate ratios, detect anomalies, and review earnings quality from structured financial data.
Why use it?
It helps reveal changes and possible warning signs that are easy to miss when reading financial tables manually, such as rising receivables or profit that is not supported by cash flow.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to analyze financial trends, calculate ratios, detect anomalies, and review earnings quality from structured financial data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/serejaris/kimi-skills/financial-statement-analyzer
Install

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.

Any agent
npx skills add serejaris/kimi-skills --skill financial-statement-analyzer
Clone the repo
git clone --depth 1 https://github.com/serejaris/kimi-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for financial-statement-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/serejaris/kimi-skills/financial-statement-analyzer/github.svg)](https://agentmods.dev/skills/serejaris/kimi-skills/financial-statement-analyzer)
Your own site
<a href="https://agentmods.dev/skills/serejaris/kimi-skills/financial-statement-analyzer"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/financial-statement-analyzer/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.

agentmods 80×15 button for financial-statement-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/skills/serejaris/kimi-skills/financial-statement-analyzer"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/financial-statement-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,143 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00065 $0.02143
Opus 5 $0.00032 $0.01071
Sonnet 5 $0.00013 $0.00429
Haiku 4.5 $0.00006 $0.00214

Measured 9d ago against content hash 90b3634b2e73, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

financial-statement-analyzer 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/analyze_financials.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/financial-statement-analyzer/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Perform structured analysis of a company's income statement, balance sheet, and cash flow statement: automatically compute year-over-year (YoY) and quarter-over-quarter (QoQ) changes, run multi-dimensional anomaly detection rules (AR surge, cash flow divergence from profit, inventory buildup, gross margin shifts, etc.), and produce a readable report.

Capabilities

Capability Description
YoY Analysis Compare same-period data (e.g., 2024Q1 vs 2023Q1) to identify trend changes
QoQ Analysis Compare consecutive periods (e.g., 2024Q2 vs 2024Q1) to capture short-term fluctuations
Financial Ratios Gross margin, net margin, debt-to-asset ratio, current ratio, DSO, and more
Anomaly Detection 10 built-in rules with automatic scanning, risk severity levels, and explanations

Quick Start

# Basic usage: analyze financial data in JSON format
python scripts/analyze_financials.py data.json

# Output results in JSON format
python scripts/analyze_financials.py data.json --json

# Export to a file
python scripts/analyze_financials.py data.json --output report.json

# Generate sample data file (for testing)
python scripts/analyze_financials.py --sample > sample_data.json

# Customize anomaly detection thresholds
python scripts/analyze_financials.py data.json --ar-threshold 0.25 --ocf-ratio 0.4

Input Data Format

The script accepts a JSON file in the following format:

{
  "company": "Acme Corp",
  "currency": "USD",
  "unit": "thousands",
  "periods": ["2023Q1","2023Q2","2023Q3","2023Q4","2024Q1","2024Q2","2024Q3","2024Q4"],
  "income_statement": {
    "revenue": [5000, 5200, 4800, 6000, 5500, 5800, 5100, 6500],
    "cost_of_revenue": [3000, 3100, 2900, 3500, 3400, 3600, 3200, 4100],
    "operating_income": [800, 850, 750, 1000, 780, 820, 700, 900],
    "net_income": [600, 650, 560, 780, 580, 620, 520, 680]
  },
  "balance_sheet": {
    "accounts_receivable": [2000, 2100, 2200, 2300, 2800, 3200, 3600, 4200],
    "inventory": [1000, 1050, 1100, 1200, 1100, 1150, 1200, 1300],
    "total_current_assets": [5000, 5200, 5400, 5800, 6000, 6500, 7000, 7500],
    "goodwill": [500, 500, 500, 500, 500, 500, 500, 500],
    "total_assets": [15000, 15500, 16000, 16500, 17000, 17500, 18000, 18500],
    "accounts_payable": [1500, 1600, 1550, 1700, 1650, 1750, 1700, 1800],
    "total_current_liabilities": [4000, 4200, 4100, 4500, 4300, 4600, 4500, 4900],
    "total_liabilities": [8000, 8200, 8400, 8600, 8800, 9000, 9200, 9500],
    "total_equity": [7000, 7300, 7600, 7900, 8200, 8500, 8800, 9000]
  },
  "cash_flow": {
    "operating_cash_flow": [700, 750, 620, 850, 300, 280, 250, 200],
    "investing_cash_flow": [-200, -180, -250, -300, -400, -350, -300, -280],
    "financing_cash_flow": [-100, -50, -80, -120, 200, 150, 100, 50],
    "capex": [180, 160, 230, 280, 380, 330, 280, 260]
  }
}

Read the full file on GitHub · 157 lines

Files

What ships with it

2 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.

Changes

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.

  1. 9d ago First seen · 157 lines · 65 tokens per session scan A 90b3634b2e73

Subscribe to this mod's changes

financial-statement-analyzer is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 2,143 once invoked, about $0.0003 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 2026-09-03.

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