variance

variance is a skill for Claude Code, Codex from bromso/metapowers. It costs 8 tokens per session (437 once invoked), scanned A, original, MIT.

A financial analysis procedure that compares actual results with a budget, forecast, or earlier period. It calculates differences in money and percentage terms and explains what caused important changes.

In plain words
What is it for?
Use it to analyse monthly, quarterly, or yearly results for a company, department, account, or line item.
Why use it?
It turns unexplained changes in financial results into a structured view of favorable and unfavorable differences. It can separate causes such as volume, price, product mix, timing, and one-time events.

Skill for Claude CodeCodex

Part of the accounting plugin — 13 skills shipped together

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.

agentmods
npx agentmods add skills/bromso/metapowers/variance
Any agent
npx skills add bromso/metapowers --skill variance
Clone the repo
git clone --depth 1 https://github.com/bromso/metapowers

Made for: Claude Code, Codex.

Or install accounting, the plugin that ships this one along with the rest of its 13 skills.

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 variance

README.md
[![agentmods](https://agentmods.dev/badge/skills/bromso/metapowers/variance.svg)](https://agentmods.dev/skills/bromso/metapowers/variance)
Your own site
<a href="https://agentmods.dev/skills/bromso/metapowers/variance"><img src="https://agentmods.dev/badge/skills/bromso/metapowers/variance.svg" alt="Measured on agentmods" height="20"></a>
Per session 8 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 437 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00008 $0.00437
Opus 5 $0.00004 $0.00218
Sonnet 5 $0.00002 $0.00087
Haiku 4.5 $0.00001 $0.00044

Measured 4d ago against content hash 03049d9d7198, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

variance 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 4d 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.

plugins/accounting/skills/variance/SKILL.md · 48 lines

What it actually says

Variance

Perform variance analysis for "$ARGUMENTS". Compare actual results to budget, forecast, or prior period and explain the differences.

Prerequisites

None — utility skill, run anytime. More effective when financial data is available from Phase 7 (statements) or Phase 4 (trial balance).

Process

  1. Establish comparison basis:

    • What are we comparing? (actual vs. budget, actual vs. forecast, actual vs. prior period)
    • What level of detail? (total entity, department, account, line item)
    • What period? (month, quarter, year)
  2. Calculate variances:

    • For each line item, compute:
      • Dollar variance — actual minus budget/forecast
      • Percentage variance — dollar variance divided by budget/forecast
    • Classify as favorable (F) or unfavorable (U)
    • Highlight variances exceeding materiality thresholds
  3. Analyze root causes:

    • For each significant variance, identify the driver:
      • Volume variance (more or fewer units)
      • Price variance (higher or lower unit cost/price)
      • Mix variance (different product/service mix)
      • Timing variance (recognized in a different period)
      • One-time items (non-recurring events)
    • Quantify each driver where possible
  4. Write the artifact to .metapowers/accounting/$ARGUMENTS/variance.md with sections:

    • Variance Summary — high-level overview of actual vs. budget with key metrics
    • Detailed Variance Table — line-by-line comparison with dollar and percentage variances
    • Root Cause Analysis — explanation of significant variances
    • Recommendations — actions to address unfavorable variances or capitalize on favorable ones

Output

The variance analysis written to .metapowers/accounting/$ARGUMENTS/variance.md. Present a summary highlighting:

  • Top favorable and unfavorable variances
  • Key root causes identified
  • Recommended actions
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. 4d ago First seen · 48 lines · 8 tokens per session scan A 03049d9d7198

Subscribe to this mod's changes

variance is a skill published in the GitHub repository bromso/metapowers (1 stars, last pushed 4mo ago), licensed MIT. It adds 8 tokens to every session and 437 once invoked, about $0.0000 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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