variance-commentary

variance-commentary is a skill for Codex from jeremylongworth-source/AgentSkills. It costs 59 tokens per session (338 once invoked), scanned A, original, MIT.

A method for explaining the difference between actual results and a target, forecast, plan, previous period, or group. It separates confirmed causes from guesses and notes the business effect and follow-up owner.

In plain words
What is it for?
Use it for finance reports, budget reviews, revenue updates, month-over-month comparisons, KPI summaries, and notes prepared for management or board review.
Why use it?
It turns unexplained changes in revenue, budgets, or other key measures into concise notes that reviewers can assess. It also reduces the risk of presenting unsupported causes as facts.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it for finance reports, budget reviews, revenue updates, month-over-month comparisons, KPI summaries, and notes prepared for management or board review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jeremylongworth-source/agentskills/variance-commentary
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 jeremylongworth-source/AgentSkills --skill variance-commentary
Clone the repo
git clone --depth 1 https://github.com/jeremylongworth-source/AgentSkills

Made for: 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-commentary

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/variance-commentary"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/variance-commentary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 338 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 $0.00059 $0.00338
Opus 5 $0.00030 $0.00169
Sonnet 5 $0.00012 $0.00068
Haiku 4.5 $0.00006 $0.00034

Measured 7d ago against content hash 7aada33a6dd2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

variance-commentary 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 7d 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/variance-commentary/SKILL.md · 44 lines

What it actually says

Variance Commentary

Core Workflow

  1. Identify actuals, target or baseline, period, scope, owner, and materiality threshold.
  2. Verify the variance calculation and units from supplied data.
  3. Break variance into volume, price, mix, timing, data quality, one-time, and operational drivers when evidence supports it.
  4. Separate confirmed drivers from hypotheses and required follow-up.
  5. State business impact, confidence, owner, and recommended next action.
  6. Keep reviewer notes separate from external or board-facing language.

Safety Rules

  • Do not invent actuals, targets, forecasts, drivers, or accounting treatment.
  • Do not provide tax, audit, accounting, legal, or investment advice.
  • Do not publish finance commentary without finance owner review.
  • Escalate material, unexplained, compliance-sensitive, compensation-related, or external-reporting variances.

Deliverable Shape

For variance commentary, provide:

  • Variance summary
  • Actual, baseline, and period
  • Materiality assessment
  • Driver breakdown
  • Confidence and caveats
  • Owner or follow-up
  • Draft commentary for review

References

  • Read references/variance-commentary-checklist.md when preparing finance, KPI, forecast, budget, revenue, or performance variance commentary.
Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 44 lines · 59 tokens per session scan A 7aada33a6dd2

Subscribe to this mod's changes

variance-commentary is a skill published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 9d ago), licensed MIT. It adds 59 tokens to every session and 338 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 2026-09-03.

Related

Other skills, from other repositories

tb-bar-strategy

Use when generating, modifying, explaining, or reviewing TBQ3 Bar-based trading strategies with OnBar, OnInit, OnReady, entries, exits, MarketPosition, stop profit/loss, sizing, slippage, commission, multi-symbol, or cross-period logic.

itsadrianxv/tradeblazer_skills · 59 tokens

tb-core

Use when working with TBQ3 or TB language code, including strategy generation, syntax questions, trading functions, Bar strategies, event-driven trading, Plot drawing, examples, or TB-specific code review.

itsadrianxv/tradeblazer_skills · 43 tokens

tb-review

Use when reviewing, debugging, or improving TBQ3/TB language code for trading correctness, Bar strategy behavior, order direction, position state, sizing, costs, backtest realism, event timing, multi-symbol logic, or function documentation consistency.

itsadrianxv/tradeblazer_skills · 52 tokens

setup-tradeblazer

Use after installing tradeblazerskills to collect user preferences for TBQ3/TB language work, including task focus, strategy type, document output location, and review expectations.

itsadrianxv/tradeblazer_skills · 42 tokens

ve-midnight-editorial

OpenDesign's financial review: runway, burn, and the sustainability plan that keeps the project independent. Built as a decision-grade data & finance deck for board, leadership.

nexu-io/open-design · 40 tokens

fs-creative-voltage

OpenDesign's seed pitch: the open, local alternative to closed AI design — why now, the wedge, and the ask. Built as a decision-grade fundraising pitch deck for pre-seed & seed VCs.

nexu-io/open-design · 49 tokens