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.
npx skills add equinor/neqsim-community-skills --skill neqsim-jv-cost-control-screeninggit clone --depth 1 https://github.com/equinor/neqsim-community-skillsWrote 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.
[](https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-jv-cost-control-screening)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-jv-cost-control-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-jv-cost-control-screening/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.
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-jv-cost-control-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-jv-cost-control-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00096 | $0.01764 |
| Opus 5.5 | $0.00038 | $0.00706 |
| Sonnet 5.5 | $0.00019 | $0.00353 |
| Haiku 4.5 | $0.00010 | $0.00176 |
Grade A, and why
neqsim-jv-cost-control-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 15d 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.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
JV Cost Control Screening
Public, screening-level controls for the finance-and-control work of a non-operating partner. The operator sends four kinds of material: monthly Joint Interest Billing (JIB, PDF and Excel), an annual budget issued twice a year, a monthly operations report and a quarterly cost-recovery report. This skill turns the repetitive checks on that material into tested functions so the controller spends time on explanations instead of on retyping and re-adding numbers.
It does not account, approve or dispute costs. Every output is a question for the operator or a number to review; a qualified controller decides.
When to Use
- A JIB or cost-recovery statement must be loaded into a table and proven to be complete.
- Actual cost must be compared with budget or forecast, with material variances ranked.
- Two reports that should agree (JIB vs operations report vs cost-recovery report) must be reconciled.
- A participating-interest share must be tested against gross amounts.
- A cost overrun must be split into a volume effect and a unit-rate effect.
Inputs
- Rows of a statement that uses label columns plus numeric columns (for example from
openpyxl). - Actual and reference (budget/forecast/plan) tables with matching keys, in one currency and unit.
- Participating interest(s) as fractions, for example
[0.12, 0.12 / 0.9]. - Line codes and values of a statement that carries arithmetic identities.
Outputs
ParsedStatement: tidydetaillines andtotalswith the sum of the lines they close.check_subtotals: totals that do not equal their detail lines, largest first.variance_tableandvariance_commentary: material variances and fact-only sentences with aTO BE CONFIRMED WITH OPERATORcause placeholder.price_volume_split,run_rate_outlook,outlier_months.reconcile_tables,rollforward_check,check_identities,interest_share_check.
Engineering Method
- Parse and prove. Statements write a hierarchy label only when it changes and close each
group with
TOTAL <label>.parse_hierarchical_rowsforward-fills the labels, keeps TOTAL rows separately and records for each TOTAL the sum of the detail lines it closes. A TOTAL with no detail since the previous total at its level is a grand total and is checked against the sibling totals. Net-zero detail groups are not mistaken for grand totals. - Compare with a reference.
variance_tableflags a line when the absolute variance and the relative variance both exceed thresholds; spend against a zero reference is always material. - Explain with numbers only.
variance_commentarystates actual, reference, variance and percentage. The cause is left as a placeholder so that nothing is invented. - Split the variance.
price_volume_splitusesvolume effect = (V_act - V_ref) x unit_refandrate effect = (unit_act - unit_ref) x V_act; the two add to the total exactly. - Roll forward.
YTD(t) = YTD(t-1) + month(t). When the cost-recovery report ends before the previous JIB month, the implied cost of the months in between is compared with the report's monthly run-rate. - Identities.
check_identitiesevaluates only+ - * /, numbers and line codes (noeval), with a rounding tolerance. - Share check.
interest_share_checktestsshare = gross x PIfor any of several PIs. Use it on current-month and year-to-date; inception-to-date mixes periods with different PIs.
What ships with it
9 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.
- examples/basic_jv_control.py 1.6 KB runs code
- pyproject.toml 639 B
- README.md 717 B
- src/jv_cost_control/__init__.py 1.0 KB runs code
- src/jv_cost_control/hierarchy.py 8.5 KB runs code
- src/jv_cost_control/reconcile.py 5.8 KB runs code
- src/jv_cost_control/share.py 2.6 KB runs code
- src/jv_cost_control/variance.py 6.2 KB runs code
- tests/test_jv_cost_control.py 5.8 KB runs code
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.
- 15d ago First seen · 132 lines · 96 tokens per session scan A 83dac687f33e
neqsim-jv-cost-control-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 96 tokens to every session and 1,764 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 2026-10-22.
neqsim-jv-cost-control-screening compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-jv-cost-control-screeningequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 96 | Claude Code, Codex |
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