startup-financial-analyst

startup-financial-analyst is a skill for Claude Code, Codex from MayankTalwar0/startup-finance-metrics. It costs 61 tokens per session (1,585 once invoked), scanned A, original, MIT.

A financial-analysis skill for turning bank, accounting, payment, or pasted figures into a business-health summary. It covers startups and small businesses, including software, online retail, services, practices, freelancers, and consultants.

In plain words
What is it for?
Use it to review cash flow and other shared business metrics, then add a brief industry-specific section when the available data supports one.
Why use it?
It removes the need to calculate common business measures manually from raw financial exports. It also separates operational analysis from audited accounting, tax, legal, and compliance advice.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to review cash flow and other shared business metrics, then add a brief industry-specific section when the available data supports one.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mayanktalwar0/startup-finance-metrics/skills
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 MayankTalwar0/startup-finance-metrics --skill skills
Clone the repo
git clone --depth 1 https://github.com/MayankTalwar0/startup-finance-metrics

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 startup-financial-analyst

README.md
[![agentmods](https://agentmods.dev/badge/skills/mayanktalwar0/startup-finance-metrics/skills/github.svg)](https://agentmods.dev/skills/mayanktalwar0/startup-finance-metrics/skills)
Your own site
<a href="https://agentmods.dev/skills/mayanktalwar0/startup-finance-metrics/skills"><img src="https://agentmods.dev/badge/skills/mayanktalwar0/startup-finance-metrics/skills/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 startup-financial-analyst

Your own site · 80×15
<a href="https://agentmods.dev/skills/mayanktalwar0/startup-finance-metrics/skills"><img src="https://agentmods.dev/badge/skills/mayanktalwar0/startup-finance-metrics/skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,585 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 $0.00061 $0.01585
Opus 5 $0.00030 $0.00792
Sonnet 5 $0.00012 $0.00317
Haiku 4.5 $0.00006 $0.00159

Measured 12d ago against content hash c7fae1d51e93, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

startup-financial-analyst 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 12d 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.

skills/SKILL.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Startup Financial Analyst

Turn raw financial exports into a clear business-health snapshot.

Scope

Designed for: SaaS, e-commerce, agencies/services, professional practices, freelancers, and consultants.

Do Not Trigger If

  • The user asks for audited accounting or tax filing advice.
  • The user needs legal/compliance opinion instead of operational metrics.
  • The user provides no financial numbers and refuses clarifications.

Input Sources

  • Bank statement CSV (recommended: latest completed month, preferably 3 months)
  • Xero / QuickBooks P&L export CSV
  • Stripe export CSV
  • Pasted figures in chat

Required User Prompting

Ask this first if not provided:

  • Business type: saas, ecommerce, services, freelancer, professional_practice, or other. If the user does not state it, infer from data and assign a confidence. If confidence is below ~80% (conflicting or weak signals), STOP and ask the user to confirm — and tell them specifically why you were uncertain. Only proceed silently when confidence is high; even then, state your inference and the signals briefly.
  • Business website (optional): for product/service context to improve categorization
  • About the business (optional): brief description of what they sell and who they serve
  • Financial data (required): bank statement CSV, Stripe export, or pasted figures
  • Customer metrics (optional): customer counts, churn rates, new/lost customers
  • Analysis period: default to latest completed calendar month
  • Data coverage: ask for 3 months minimum for trends, 13 months preferred for YoY metrics

Core Behavior

  1. Compute common metrics for every business:
    • Revenue, Expenses, Net Profit/Loss, Profit Margin
    • Net Cash Flow, Cash Balance, Runway (if burning)
    • Revenue Growth (if prior period exists)
  2. Compute the 12 advanced investor metrics only when required fields exist.
  3. Compute 2-3 industry-specific metrics when business_type is provided.
  4. Never invent values. Missing inputs must return:
    • label: insufficient_data
    • reason: Cannot be determined from the provided inputs.
    • missing_inputs: [...]
  5. When a metric is mathematically meaningless because the business is cash flow positive (e.g., Cash Runway, Burn Multiple when net burn ≤ 0), return:
    • label: not_applicable
    • reason: Business is cash flow positive
  6. For multi-month input, call computeFinancialMetrics once per month, then call generateFinancialReport ONCE with a multi-month payload ({"months": [...]}). Produce a single unified report — never one file per month.

Read the full file on GitHub · 159 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. 12d ago First seen · 159 lines · 61 tokens per session scan A c7fae1d51e93

Subscribe to this mod's changes

startup-financial-analyst is a skill published in the GitHub repository MayankTalwar0/startup-finance-metrics (0 stars, last pushed 4mo ago), licensed MIT. It adds 61 tokens to every session and 1,585 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 2026-08-31.

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