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Omh Finance Analysis

CommunityPopular
rlaope
omh-finance-analysis

[omh] Turn finance and accounting inputs into a decision-ready variance, cash, and close-risk brief. Use when the user says: finance analysis, budget variance, budget vs actual, month-end close, 재무 분석, 예산 대비 실적, 월마감.

Overview

Publisherrlaope
Repositoryoh-my-hermes
Skill nameomh-finance-analysis
Stars
2.7K
Forks
194
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by rlaope on GitHub. Read the source before you install it.

Installation

Install the Omh Finance Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git /tmp/oh-my-hermes
mkdir -p .claude/skills
cp -r /tmp/oh-my-hermes/agent-skills/omh-finance-analysis .claude/skills/omh-finance-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Omh Finance Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Omh Finance Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Omh Finance Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Finance Analysis

This is an OMH finance-analysis workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

Why This Exists

finance-analysis prepares a source-bounded decision brief without claiming an authoritative financial action.

Do Not Use When

  • The request is for a current quote, exchange rate, crypto price, or other live market lookup; use live-info-operator.
  • The user wants generic exploration of a supplied CSV or table without accounting periods, controls, or finance decision framing; use data-analysis.
  • The user asks to post journal entries, reconcile accounts, approve payments, submit tax filings, or configure an accounting system; use connector-operator for an explicit observed action path.
  • The user wants pipeline coverage, deal health, or a seller forecast scenario rather than authoritative revenue or close reporting; use sales-pipeline-review.
  • The user needs an enterprise or product direction decision after analysis; route that decision to strategy-brief.

Examples

Good example:

  • Prompt: Compare Q2 actuals against budget, explain the biggest expense variances, and flag cash risks for the CFO.
  • Expected behavior: Prepare the period boundary, actual-versus-plan narrative, cash-risk register, and decision questions.
  • Why: The supplied finance framing needs a bounded decision brief rather than an external accounting action.

Bad example:

  • Prompt: What is the USD/KRW exchange rate right now?
  • Expected behavior: Route to live-info-operator, not finance-analysis.
  • Why: A live exchange rate needs observed provider data rather than a finance analysis brief.

Completion Checklist

  • Confirm the workflow target, evidence boundary, and stop condition are named.
  • Report which outputs are prepared, observed, blocked, or missing.
  • Name the smallest next verification or handoff instead of claiming completion from narration.

Recovery Notes

  • If required context is missing, ask one blocking question or route back to the narrower workflow.
  • If runtime or wrapper evidence is unavailable, keep the status as not_observed and expose the next observable action.

Use When

Use when supplied ledger, budget, forecast, revenue, expense, cash-flow, or close context needs a bounded analysis and decision brief.

Strong routing signals: `finance analysis`, `budget variance`, `budget vs actual`, `month-end close`, `재무 분석`, `예산 대비 실적`, `월마감`

Catalog Metadata

Category: operations Phase: finance-analysis Quality tier: evidence-gated Reasoning demand: light

Quality bar:

  • Separate supplied numbers, assumptions, and missing finance evidence.
  • Keep decision and escalation questions explicit.

Required inputs:

  • period
  • supplied finance source
  • decision question
  • calculation assumptions

Expert clarification questions:

  • period
    • English: What period, cutoff, reporting entity/perimeter, currency/units, accounting basis, comparator version, and close status apply?
    • Korean: 어떤 기간, 마감 기준일, 보고 법인과 범위, 통화와 단위, 회계 기준, 비교 버전, 마감 상태를 적용해야 하나요?

Expected outputs:

  • finance_scope_source_record/v1
  • finance_reconciliation_analysis_schedule/v1
  • finance_risk_register/v1
  • finance_decision_brief/v1

Artifact expectations:

  • prepared finance analysis brief when a wrapper captures it

Safety rules:

  • State source and calculation assumptions before presenting a variance.
  • Do not imply an ERP, bank, ledger, tax, payment, or filing action occurred.

Procedure: load references/procedure.md.

Runtime Evidence

Use the current host's own tools and subagent/task mechanism when available; otherwise run the same lanes sequentially or name the unavailable capability. A prepared plan, handoff, checklist, or skill installation is not execution, review, CI, merge-readiness, or merge evidence. Report actual tool results or not_observed / not_available; never invent dispatch or host accounting. Treat supplied context as advisory, not proof of hidden memory reads or writes. State scope, constraints, verification, and the stop condition before work. Supporting paths are relative to this skill directory; sibling skill paths are relative to its parent. Resolve them from the host-provided skill base directory ({baseDir} on hosts that provide it), never a hardcoded install location. A named workflow not installed here is unavailable, not permission to emulate its host-specific capabilities. Verify through the real surface before done.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Omh Finance Analysis AI skill do?

[omh] Turn finance and accounting inputs into a decision-ready variance, cash, and close-risk brief. Use when the user says: finance analysis, budget variance, budget vs actual, month-end close, 재무 분석, 예산 대비 실적, 월마감.

Why use Omh Finance Analysis on TypingMind?

Because you install it once and use it with any model. Omh Finance Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Omh Finance Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rlaope/oh-my-hermes/tree/main/agent-skills/omh-finance-analysis. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Omh Finance Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Omh Finance Analysis?

As many as you like. As long as a model supports skills, you can use Omh Finance Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Omh Finance Analysis AI skill free?

Yes. It is published on GitHub by rlaope under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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