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 sand-erosion-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/sand-erosion-screening)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/sand-erosion-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/sand-erosion-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/sand-erosion-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/sand-erosion-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 | $0.00065 | $0.01644 |
| Opus 5 | $0.00032 | $0.00822 |
| Sonnet 5 | $0.00013 | $0.00329 |
| Haiku 4.5 | $0.00006 | $0.00164 |
Grade A, and why
neqsim-sand-erosion-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 12d 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sand Erosion Screening
Educational screening of solids (sand) erosion for production and flowline piping. The skill estimates an erosional-velocity ratio, a simplified sand erosion rate, the cumulative wall loss over a design life, the remaining wall thickness, and a remaining-life indicator. It is a public, screening-level placeholder for learning and workflow scaffolding only — it does not implement the validated DNV RP O501 erosion model.
When to Use
- Early sand-management screening when a sand production rate is known or assumed.
- Triaging whether a solids-bearing line warrants a detailed DNV RP O501 erosion study.
- Teaching the link between sand rate, flow velocity, and remaining wall life.
- Building agent or notebook scaffolding before validated erosion calculations.
Do not use this skill for design, fitness-for-service, integrity, or sand-rate
allowable decisions. Use the validated NeqSim ErosionPredictionCalculator
(DNV RP O501) and qualified engineering review for those.
Inputs
| Input | Unit | Notes |
|---|---|---|
fluid_velocity |
m/s | Mixture flow velocity at line conditions |
mixture_density |
kg/m3 | Flowing mixture density at line pressure and temperature |
pipe_diameter |
m | Internal diameter of the line |
wall_thickness |
mm | Nominal wall thickness |
sand_rate |
kg/day | Solids (sand) production rate; defaults to 0 (no sand) |
corrosion_allowance |
mm | Wall reserved for corrosion; default 3.0 |
material_factor |
– | Relative material erosion resistance; default 1.0 (carbon steel) |
design_life_years |
yr | Design life used for cumulative loss; default 25 |
c_factor |
– | API RP 14E SI C constant; default 122 |
Outputs
| Output | Unit | Meaning |
|---|---|---|
erosional_velocity_m_per_s |
m/s | API RP 14E erosional velocity Ve = C / sqrt(rho) |
velocity_ratio |
– | fluid_velocity / erosional_velocity |
erosion_rate_mm_per_yr |
mm/yr | Screening sand erosion rate |
cumulative_erosion_mm |
mm | Erosion rate times design life |
usable_wall_mm |
mm | Wall thickness minus corrosion allowance |
remaining_wall_mm |
mm | Usable wall minus cumulative erosion |
remaining_life_years |
yr | Usable wall divided by erosion rate (None when no sand) |
erosion_warning |
– | ok, watch, or high |
What ships with it
6 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.
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.
- 12d ago First seen · 148 lines · 65 tokens per session scan A 971de01581ff
neqsim-sand-erosion-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 65 tokens to every session and 1,644 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 2026-08-31.
Other skills, from other repositories
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
matlab
Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
exploratory-data-analysis
Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…
phylogenetics
Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
mapping-to-snomed
Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…