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Production Variance

ASecurity

Compare produced volumes to the nomination using the meters the user provides. Use when the user mentions production variance, actual versus nomination, daily production, volume miss, or asks for a variance note. Oil and gas operations skill by Yasir Jilani.

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  • Added September 30, 2026
ai-agentspythongoawsgitapi

Works with

  • cli
  • api

Security analysis

A100/100

Scanned September 30, 2026

npx -y skills add SYasJ/claude-business-skills --skill production-variance --agent claude-code

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SKILL.md
---
name: production-variance
description: "Compare produced volumes to the nomination using the meters the user provides. Use when the user mentions production variance, actual versus nomination, daily production, volume miss, or asks for a variance note. Oil and gas operations skill by Yasir Jilani."
license: MIT
compatibility: Agent Skills standard. No network access, extra packages, or credentials required.
metadata:
  author: Yasir Jilani
  version: "1.0.0"
  domain: oil-gas
---

<!-- GENERATED FILE - edits here are overwritten by scripts/generate.py.
     Edit the 'production-variance' entry in source/, then run:
       python3 scripts/generate.py && python3 scripts/validate.py
     See CONTRIBUTING.md. -->

# Production Variance

Compare produced volumes to the nomination using the meters the user provides.

## When to use this skill

Use this skill when the user:

- production variance
- actual versus nomination
- daily production
- volume miss

## When not to use this skill

- The user wants a different domain's specialist skill.
- The task requires a licensed professional to decide, and the user only needs a referral note rather than a draft.
- The request asks you to deceive, evade a control, or hide material facts.

## Professional boundary

Operational drafts only. Do not bypass isolation, lockout, permits, or reporting duties. Do not write instructions to conceal a release or to operate outside the site's limits.

## Operating boundaries

- Use only information the user provides or files they explicitly ask you to read. Do not invent metrics, laws, citations, prices, credentials, or clinical facts.
- Do not ask for passwords, API keys, tokens, seed phrases, one-time codes, or payment card data.
- Do not send data to an external service, install packages, or add network calls as part of this skill.
- Separate facts, assumptions, and recommendations. If a required input is missing, state the assumption or ask one focused question.
- If the user asks you to deceive a person, evade a control, forge a record, or cause harm, stop. Offer a legitimate alternative.
- Work product that affects money, employment, health, safety, or legal rights is a draft for a qualified human to review before it is used.

## Inputs to collect

- The nomination
- The meter volumes
- The day
- Who explains the gap

## Workflow


### 1. Step 1

Use their meters.
### 2. Step 2

Show nomination, actual, and gap.
### 3. Step 3

Do not invent a reservoir cause.
### 4. Step 4

Separate a meter they flagged as bad.
### 5. Step 5

Name the person who explains a gap over their threshold.
### 6. Step 6

Do not adjust a number to match the nomination.

## Output

Deliver a **variance note**.

- Purpose of this variance note, in two sentences.
- Facts the user supplied, listed separately from assumptions.
- The work itself, in the structure the workflow names.
- Open questions, risks, and the single next action with an owner.
- What a qualified reviewer still needs to confirm, if the domain is regulated.

## Quality bar

- Every number, date, name, and citation came from the user or is marked as an assumption.
- The artifact can be used without reading this skill again.
- Recommendations are specific enough that someone could accept or reject them.
- Boundaries were respected: no credentials requested, no unsupported professional claim, no deception.

## Example

### Scenario

Devon has Tuesday's numbers for pad 14-22. The nomination was 4.2 mmcf. The meter, which he flagged as clean, read 3.6. He wants the variance without a reservoir story.

### Example data

```text
day: 16 Sep 2026
pad: 14-22
nomination: 4.2 mmcf
meter: 3.6 mmcf
meter note: clean, no fault flag
threshold for a call: 0.3 mmcf
who explains: Devon Hale
```

### Example outcome

**Variance — pad 14-22, 16 September**
Nomination 4.2. Meter 3.6. Gap 0.6. Over his 0.3 threshold.
Meter note is clean, so this note does not blame the meter and does not invent a reservoir cause.
No adjustment to make 3.6 look like 4.2.
Next: Devon writes the explanation. This note only records the gap.

## Anti-patterns

- A volume changed to match the nom
- A cause with no meter
- A bad meter treated as good

## Related skills

- `gas-nomination`
- `gas-balance`

Attribution

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