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-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/neqsim-sand-erosion-screening)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-sand-erosion-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-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/neqsim-sand-erosion-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-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 5.5 | $0.00026 | $0.00658 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 (4 stars, last pushed today), licensed Apache-2.0. It adds 65 tokens to every session and 1,644 once invoked, about $0.0003 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 2026-09-19.
neqsim-sand-erosion-screening compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-sand-erosion-screeningequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 65 | 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 |