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-anp-well-production-historygit 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-anp-well-production-history)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-anp-well-production-history"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-anp-well-production-history/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-anp-well-production-history"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-anp-well-production-history.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 | $0.00106 | $0.03153 |
| Opus 5.5 | $0.00042 | $0.01261 |
| Sonnet 5.5 | $0.00021 | $0.00631 |
| Haiku 4.5 | $0.00011 | $0.00315 |
Grade A, and why
neqsim-anp-well-production-history 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 4d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ANP Well Production History
Turns the public ANP well-level production files into clean, unit-explicit series that NeqSim workflows can use for decline analysis, GOR and water-cut trends, field aggregation and a declared fluid basis. It reads files and says what they can support; it does not forecast and it does not claim a calibrated model. The map layers, installation positions and tie-in ranking are in neqsim-anp-open-data; this skill is the production-history counterpart.
When to Use
- Real production history of a Brazilian well, field, installation or basin is needed as a worked example, a benchmark or a model input.
- A decline, GOR or water-cut trend is needed from public data.
- A fluid basis (API gravity, separator gas composition, GOR) is needed for a Brazilian field without a PVT report.
- Someone asks whether the public data are enough for a material balance or a well-flow (VFP) model.
Inputs
- The ANP file(s), downloaded into the task folder (
downloadwrites the URL, time and SHA-256 next to each file). Never build a URL from a pattern: take links from the ANP page withextract_links. - The family: it is detected from the header (
detect_schema). - A well, field, installation or basin to select; a reference date for the publication-lag check.
Outputs
- Records with rates in m3/d (liquid, water) and thousand m3/d (gas),
period(YYYY-MM), days in month and hours on stream where the file has them. - Well, field, installation or national series with GOR (sm3/sm3 and scf/bbl), water cut and well count.
- Completeness, publication-lag, per-well data flags and file reconciliation results.
(year, rate)input forfit_arps_declineand afluid_basishand-off with warnings.
The four file families (checked 2026-11-02)
| Family | Content | Units and format |
|---|---|---|
well_monthly_rates ("Produção por Poço", zips with Mar, PreSal, Terra CSV) |
Per well and month: oil, condensate, water, gas, hours on stream, installation, API gravity, gas composition C1-C11/N2/CO2/O2, gross calorific value | ; CSV, cp1252, decimal comma; oil and water in bbl/dia, gas in Mm3/dia = thousand m3/d |
well_monthly_volumes ("Produção de petróleo e gás natural nacional") |
Per well and month volumes and injection (gas, water, CO2, N2, steam); offshore back to 1941 | , CSV, bracketed headers, quoted, dot thousands; m3 and Mm3 per month |
zone_daily_rates ("Produção por zona", from Oct 2014) |
Per well, reservoir zone and month; injection per zone | , CSV; m3/d and Mil m3/d |
well_status ("Situação de poços", 1939 onward) |
Status, lift method, drilling/completion/first-production dates, last intervention, base coordinates | , CSV with underscores; dates dd/mm/yyyy; coordinates DMS |
What ships with it
10 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/field_history.py 2.1 KB runs code
- pyproject.toml 690 B
- README.md 1.1 KB
- src/anp_well_production/__init__.py 1.9 KB runs code
- src/anp_well_production/catalog.py 8.3 KB runs code
- src/anp_well_production/fetch.py 3.6 KB runs code
- src/anp_well_production/fluid.py 5.5 KB runs code
- src/anp_well_production/parse.py 21 KB runs code
- src/anp_well_production/series.py 16 KB runs code
- tests/test_anp_well_production.py 17 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.
- 4d ago First seen · 151 lines · 106 tokens per session scan A 830f907415a3
neqsim-anp-well-production-history is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 106 tokens to every session and 3,153 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 2026-11-03.
neqsim-anp-well-production-history compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-anp-well-production-historyequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 106 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 3d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |