variance-analysis

variance-analysis is a skill for Claude Code, Codex from davekilleen/Dex. It costs 36 tokens per session (1,113 once invoked), scanned A, original, MIT.

An explanation of a financial difference between actual results and a budget or forecast for the same period. A variance is the gap between those comparable figures.

In plain words
What is it for?
Use it to analyze a dated actual-versus-budget or actual-versus-forecast variance for a finance period.
Why use it?
It helps clarify what caused the gap instead of leaving the numbers unexplained.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; installed under .agents/ (shared by several agents).

Good fit Use it to analyze a dated actual-versus-budget or actual-versus-forecast variance for a finance period.

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Install with agentmods
npx agentmods add skills/davekilleen/dex/variance-analysis
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 davekilleen/Dex --skill variance-analysis
Clone the repo
git clone --depth 1 https://github.com/davekilleen/Dex

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 variance-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/davekilleen/dex/variance-analysis/github.svg)](https://agentmods.dev/skills/davekilleen/dex/variance-analysis)
Your own site
<a href="https://agentmods.dev/skills/davekilleen/dex/variance-analysis"><img src="https://agentmods.dev/badge/skills/davekilleen/dex/variance-analysis/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 variance-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/davekilleen/dex/variance-analysis"><img src="https://agentmods.dev/badge/skills/davekilleen/dex/variance-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,113 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 $0.00036 $0.01113
Opus 5.5 $0.00014 $0.00445
Sonnet 5.5 $0.00007 $0.00223
Haiku 4.5 $0.00004 $0.00111

Measured 1mo ago against content hash 37ce2fc677d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

variance-analysis 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 1mo 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.

.agents/skills/_available/finance/variance-analysis/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When to use

Use when a finance or leadership user needs an evidence-backed explanation of actuals against an approved budget or forecast for a named period, category, or total. Confirm the comparison period and basis before calculating.

Do not use this skill to post or reclassify ledger entries, change a budget or forecast, approve corrective action, or provide audit sign-off. Not for close-status tracking, tax advice, or a financial decision made on behalf of a human owner.

Inputs and source discipline

  1. Capture the period, comparison basis, metric definition, actual source, budget/forecast source, source dates, date checked, and explicit as-of date. Record unit, currency, sign convention, and time window for every input; never invent a missing date or denominator.
  2. Prefer reconciled ledger or close-package actuals, then an approved budget or forecast, then dated operational reports, then dated context in meeting notes. A narrative explanation is not evidence of a number. Preserve source hierarchy and contradictory inputs.
  3. Validate that actual and comparison values measure the same category, period, unit, currency, accounting basis, and aggregation. Convert only with a cited rate or rule and date; otherwise mark the comparison not comparable rather than forcing a result.

Method

  1. Work read-only and state the formula before computing: for example, dollar variance as actual - comparison, and percentage variance as variance / absolute comparison only when the denominator is non-zero and that convention is authorized. Preserve the sign and state how favorable/unfavorable is determined for revenue versus expense; never flip signs to make a result look better.
  2. Recalculate each category and reconcile the category variances to the supplied total, allowing only documented rounding. Investigate missing categories, scope differences, and duplicate rows; if totals cannot reconcile, report the total as unknown or contradictory.
  3. Apply the supplied materiality threshold in both amount and percentage terms when available. If no threshold is supplied, state that materiality was not assessed; do not invent a cutoff or call a result material solely because it is visually large.
  4. For each material or requested variance, classify the cause as timing or permanent only when dated evidence supports it. Label a plausible but unverified explanation hypothesized, and use unknown when evidence does not establish a cause. Keep corrective actions as recommendations for human review.

Read the full file on GitHub · 91 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. 1mo ago Changed · +2 lines 37ce2fc677d9
  2. 1mo ago First seen · 89 lines · 36 tokens per session scan A 4eb250075355

Subscribe to this mod's changes

variance-analysis is a skill published in the GitHub repository davekilleen/Dex (507 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 1,113 once invoked, about $0.0001 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 2026-08-30.

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