finance-research-agent: Skill for Claude Code

.claude/skills/financial-forensics/SKILL.md

financial-forensics is a skill for Claude Code from sreenathvemula/finance-research-agent. It costs 204 tokens per session (3,905 once invoked), scanned A, original, Apache-2.0.

A financial investigation skill that tests a company’s statements for accounting, earnings-quality, debt, cash-flow, dilution, and governance concerns. It calculates established checks such as the Altman Z-Score, Piotroski F-Score, and Sloan accrual ratio from multi-year financial data.

In plain words
What is it for?
Use it to examine whether reported profits and financial strength look reliable, identify accounting red flags, and assess possible financial or governance problems.
Why use it?
Basic warning flags can miss problems hidden in individual periods or long-term trends. This provides a structured skeptical review of the underlying numbers and related evidence.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is sreenathvemula/finance-research-agent's own configuration. It tells Claude Code how to work on finance-research-agent itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything finance-research-agent configures →

Reuse

Borrowing it

Nothing to install: this file belongs to sreenathvemula/finance-research-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/sreenathvemula/finance-research-agent/main/.claude/skills/financial-forensics/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/sreenathvemula/finance-research-agent

Made for: Claude Code.

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-forensics

README.md
[![agentmods](https://agentmods.dev/badge/skills/sreenathvemula/finance-research-agent/financial-forensics/github.svg)](https://agentmods.dev/skills/sreenathvemula/finance-research-agent/financial-forensics)
Your own site
<a href="https://agentmods.dev/skills/sreenathvemula/finance-research-agent/financial-forensics"><img src="https://agentmods.dev/badge/skills/sreenathvemula/finance-research-agent/financial-forensics/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-forensics

Your own site · 80×15
<a href="https://agentmods.dev/skills/sreenathvemula/finance-research-agent/financial-forensics"><img src="https://agentmods.dev/badge/skills/sreenathvemula/finance-research-agent/financial-forensics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 204 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,905 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 $0.00204 $0.03905
Opus 5 $0.00102 $0.01953
Sonnet 5 $0.00041 $0.00781
Haiku 4.5 $0.00020 $0.00391

Measured 9d ago against content hash e2199401db0f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

financial-forensics 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.

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.

.claude/skills/financial-forensics/SKILL.md · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Financial forensics

A skeptic's audit — not a summary of pre-built flags. The goal is to surface everything questionable — accounting quality, earnings quality, leverage, working-capital, dilution, governance — using the same named, formula-precise tests professional forensic accountants use (Altman, Piotroski, Sloan — all defined with exact formulas in investing-principles), computed from raw statement pulls, then sanity-checked against what management and rating agencies say. A "the flags look clean" conclusion without having actually run these numbers is not a completed audit.

Procedure

Pre-computed flags (financial_health, forensic_checks) are a starting hypothesis list, not the audit. They're multi-year trend detectors — the exact kind of thing clever accounting is designed to slide past (a one-off gain smoothed into a 12y trend, a bad quarter buried inside a good year, a related-party deal that never shows up as a "flag" at all). Steps 3b and 3c below are mandatory on every run, whether or not steps 2-3 fired anything — a clean flag read is not a clean company, it's an unconfirmed one.

  1. Resolve the symbol; note the company type (bank/NBFC vs non-financial) — it changes which flags apply.

  2. Trend flagsfinancial_health. Read its concern/watch flags first; these seed the hypothesis list:

    • earnings quality: cumulative operating cash flow vs profit (accruals red flag if CFO lags PAT badly)
    • margin compression, interest-coverage weakness, doubled borrowings
    • genuine per-share dilution (EPS lagging PAT), debtor-day creep, ROCE decline (For banks/NBFCs these cash/coverage/WC flags are auto-suppressed — pivot to asset quality, NIM, growth vs capital.)
  3. Forensic checklistforensic_checks. Read the negatives in each topic bucket (Accounting Quality, Promoter & Governance, Balance Sheet & Debt, Growth & Returns, Valuation & Sentiment) and the explicit promoter-pledge reading.

3b. Named quantitative scores — mandatory, computed not eyeballed. Pull 2+ years of financial_statements(profit_loss) + (balance_sheet) + (cash_flow) and compute, using the exact formulas defined in investing-principles' Quantitative scoring section:

  • Altman Z''-Score (EM variant) (distress/solvency, non-financials only) — flag if < 2.6, hard flag if < 1.1. Skip for banks/NBFCs. State plainly that the A-term (working capital) is an estimate from Other Assets − Other Liabilities, not the textbook figure — see investing-principles' data-honesty note.
  • Piotroski F-Score (0-9 fundamental-trend score) — flag if ≤ 3, especially alongside a "statistically cheap" valuation (value-trap signature). If the current-ratio test isn't computable (same current/non-current split gap as Altman's A-term), say so and score out of 8 rather than silently treating it as a pass or fail.
  • Sloan accrual ratio ((NI-CFO)/Avg Total Assets) — trend it across as many of the 12 years as financial_statements covers; flag a persistently high or rising ratio even before financial_health's qualitative CFO-vs-PAT flag would trigger. Show every input ratio (the five Altman components; the eight or nine Piotroski tests pass/fail) — not just the final score — so the computation is auditable, not asserted. State the two (or more) fiscal years/quarters used for each score explicitly.

Read the full file on GitHub · 216 lines

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 · 216 lines · 204 tokens per session scan A e2199401db0f

Subscribe to this mod's changes

financial-forensics is a skill published in the GitHub repository sreenathvemula/finance-research-agent (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 204 tokens to every session and 3,905 once invoked, about $0.0010 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.

Related

Other skills, from other repositories

weekly-fno-trade-planner

Weekly F&O trade planning skill for Indian markets. Analyzes news/macro events, identifies trending sectors and instruments, determines probable direction, suggests option strategy with entry/exit levels, and manages stop-loss and profit booking after position entry. Use when user wants a weekly trade idea, F&O…

ajeeshworkspace/indian-trading-skills · 86 tokens

india-market-breadth

Analyze Indian market breadth health using advance/decline data, stocks above moving averages, new highs/lows, and sector participation. Use when assessing rally quality, market participation width, or equity exposure levels for NSE/BSE.

ajeeshworkspace/indian-trading-skills · 51 tokens

india-news-tracker

Track and analyze Indian stock market news, corporate announcements, SEBI circulars, bulk/block deals, and earnings calendars. Auto-fetches headlines from MoneyControl, Economic Times, LiveMint, BSE/NSE filings. Use when the user asks about recent news, corporate actions, upcoming events, or wants a daily market news…

ajeeshworkspace/indian-trading-skills · 76 tokens

india-stock-analysis

Use when user requests analysis of Indian stocks, fundamental assessment, technical review, comparisons, or investment reports for NSE/BSE listed companies.

ajeeshworkspace/indian-trading-skills · 31 tokens

options-strategy-advisor

Options strategy analysis for Indian F&O markets (NSE). Use when user requests options strategy recommendations, P/L analysis, Greeks calculation, risk management, or F&O strategy planning for Nifty, Bank Nifty, or stock options.

ajeeshworkspace/indian-trading-skills · 53 tokens

backtest-expert

Expert guidance for systematic backtesting of trading strategies on Indian markets (NSE/BSE). Use when developing strategies, testing robustness, avoiding overfitting, or validating trading ideas.

ajeeshworkspace/indian-trading-skills · 41 tokens