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.
curl -O https://raw.githubusercontent.com/sreenathvemula/finance-research-agent/main/.claude/skills/financial-forensics/SKILL.mdgit clone --depth 1 https://github.com/sreenathvemula/finance-research-agentWrote 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/sreenathvemula/finance-research-agent/financial-forensics)<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.
<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>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 | $0.00204 | $0.03905 |
| Opus 5.5 | $0.00082 | $0.01562 |
| Sonnet 5.5 | $0.00041 | $0.00781 |
| Haiku 4.5 | $0.00020 | $0.00391 |
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 2mo 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 — 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.
-
Resolve the symbol; note the company type (bank/NBFC vs non-financial) — it changes which flags apply.
-
Trend flags —
financial_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.)
-
Forensic checklist —
forensic_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_statementscovers; flag a persistently high or rising ratio even beforefinancial_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.
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.
- 2mo ago First seen · 216 lines · 204 tokens per session scan A e2199401db0f
financial-forensics is a skill published in the GitHub repository sreenathvemula/finance-research-agent (0 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 204 tokens to every session and 3,905 once invoked, about $0.0008 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 2026-08-31.
financial-forensics compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| financial-forensicssreenathvemula/finance-research-agent | Skill | 0 | 3mo ago | Apache-2.0 | A | 204 | Claude Code |
| weekly-fno-trade-plannerajeeshworkspace/indian-trading-skills | Skill | 75 | 2mo ago | MIT | A | 86 | Claude Code, Codex |
| india-news-trackerajeeshworkspace/indian-trading-skills | Skill | 75 | 2mo ago | MIT | A | 76 | Claude Code, Codex |
| india-market-breadthajeeshworkspace/indian-trading-skills | Skill | 75 | 2mo ago | MIT | A | 51 | Claude Code, Codex |
| india-stock-analysisajeeshworkspace/indian-trading-skills | Skill | 75 | 2mo ago | MIT | A | 31 | Claude Code, Codex |
| options-strategy-advisorajeeshworkspace/indian-trading-skills | Skill | 75 | 2mo ago | MIT | A | 53 | Claude Code, Codex |
| backtest-expertajeeshworkspace/indian-trading-skills | Skill | 75 | 2mo ago | MIT | A | 41 | Claude Code, Codex |