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neqsim-psc-bid-economics-screening

neqsim-psc-bid-economics-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 101 tokens per session (3,023 once invoked), scanned A, original, Apache-2.0.

An educational method for estimating the value of an oil and gas exploration-block bid under a Production Sharing Contract, or PSC. A PSC is an agreement that divides production and costs between a government and an oil company.

In plain words
What is it for?
It is for screening bid-round blocks, comparing development concepts, and testing whether a proposed profit-oil share can support the project. It uses inputs such as production, capital spending, operating costs, discovery chance, and fiscal terms.
Why use it?
It helps compare a proposed government share with the chance of discovery, development costs, taxes, bonuses, and delays before committing to a bid. It also estimates the offered share at which expected value reaches zero.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 4repo changed 22d ago A scan 101 tokens original Apache-2.0

Good fit It is for screening bid-round blocks, comparing development concepts, and testing whether a proposed profit-oil share can support the project. It uses inputs such as production, capital spending, operating costs, discovery chance, and fiscal terms.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-psc-bid-economics-screening
View source ↗ equinor/neqsim-community-skills equinor.github.io
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 equinor/neqsim-community-skills --skill neqsim-psc-bid-economics-screening
Clone the repo
git clone --depth 1 https://github.com/equinor/neqsim-community-skills

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.

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README.md
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Your own site
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-psc-bid-economics-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-psc-bid-economics-screening/github.svg" alt="Measured on agentmods" height="20"></a>

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Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-psc-bid-economics-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-psc-bid-economics-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,023 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 $0.00101 $0.03023
Opus 5.5 $0.00040 $0.01209
Sonnet 5.5 $0.00020 $0.00605
Haiku 4.5 $0.00010 $0.00302

Measured 22d ago against content hash a5baba8698ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-psc-bid-economics-screening 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 22d ago.

The scan reads SKILL.md. This mod also ships 8 executable files (examples/basic_psc_bid_screening.py, src/psc_bid_economics_screening/__init__.py, src/psc_bid_economics_screening/analysis.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/field-development/neqsim-psc-bid-economics-screening/SKILL.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PSC Bid Economics Screening

Use this skill to put a number on a Production Sharing Contract bid before there is a discovery. The bid variable is the offered State share of profit oil, so the useful answer is the break-even share at which the expected monetary value (EMV) is zero, and the headroom between that and the offer.

When to Use

  • A bid-round block must be judged on value, not volume.
  • A near-field tie-back and a stand-alone concept need the same fiscal wrapper.
  • An agent needs a quick "can the block bear this offer" answer to scope a deeper study.

Inputs

  • production_mmbbl, capex_musd, opex_musd: yearly development profile starting the year after discovery, at 100%.
  • profit_oil_share_offered: State share of profit oil, the bid variable.
  • chance_of_discovery: probability of a developable discovery.
  • working_interest, signature_bonus_musd, exploration_program_musd, discovery_delay_years.
  • volume_scales and volume_weights: optional P90/P50/P10 outcomes given a discovery, for example scales 0.6/1.0/1.5 with weights 0.3/0.4/0.3.
  • Model terms: oil_price, discount_rate, royalty_rate, cost_oil_cap, tax_rate, depreciation_years, loss_offset_cap, optional price-linked share step.
  • Optional share table: share_table (for example load_annex_xx()), realisation_discount_usd (Brent minus realised price) and rate_per_producer_bbld (number or one value per year).

Outputs

  • emv_musd, pv_development_given_discovery_musd, pv_pre_discovery_cost_musd.
  • break_even_profit_oil_share, share_headroom, government_take, effective_profit_oil_share (production-weighted share actually paid).
  • bid_verdict: value_creating, thin_headroom (headroom below 0.05) or negative_emv.
  • With what_you_need_to_believe: break-even chance of discovery and the P50 volume for EMV = 0; with minimum_economic_volume, breakeven_oil_price and find_crossover: zero-NPV volume, Brent and tie-back versus stand-alone crossover.
  • assumptions.

Read the full file on GitHub · 139 lines

Files

What ships with it

11 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. 22d ago Changed · +40 lines · +10 tokens per session a5baba8698ba
  2. 26d ago Changed · +28 lines 256dd42518aa
  3. 28d ago First seen · 71 lines · 91 tokens per session scan A 3cf08e028539

Subscribe to this mod's changes

neqsim-psc-bid-economics-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 101 tokens to every session and 3,023 once invoked, about $0.0004 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 2026-10-09.

Finance and fintechPlanning
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