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-erd-reach-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-erd-reach-screening)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-erd-reach-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-erd-reach-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-erd-reach-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-erd-reach-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 | $0.00113 | $0.01328 |
| Opus 5.5 | $0.00045 | $0.00531 |
| Sonnet 5.5 | $0.00023 | $0.00266 |
| Haiku 4.5 | $0.00011 | $0.00133 |
Grade A, and why
neqsim-erd-reach-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 21d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ERD Reach Screening
Use this skill for a public, screening-level answer to "can this rig reach that far?". It builds a build-and-hold well path, integrates a soft-string torque and drag model with Coulomb friction, and returns the torque-limited reach for a drill string and friction case. It is meant to be calibrated to the longest well already drilled from the same rig before any reach number is quoted.
When to Use
- A keeper, exploration or infill well is proposed from an existing platform or fixed rig and the horizontal departure is large compared with the rig's history.
- A reach-versus-friction-factor curve is needed to turn friction uncertainty into a probability that the well can be drilled.
- A team wants to know whether a heavier or higher-torque drill string (for example 6-5/8 in) moves the reach limit enough to matter.
Inputs
tvd,departurein metres below the rig floor and horizontally from the slot.WellEnvironment: kick-off point, build rate (deg per 30 m), mud specific gravity, cased and open-hole friction factors, casing shoe fraction.DrillString: drill pipe, HWDP and BHA weights per metre, tool-joint radius, torque limit.
Outputs
ReachResult: measured depth, hold inclination, ERD ratio (departure over TVD), pick-up and slack-off hook load, torque on bottom, which limit binds (torqueorslack-off (lock-up)).reach_limit(...): the largest departure that keeps torque within the limit and slack-off positive.
Engineering Method
- Build-and-hold path from the kick-off point at a constant build rate; the hold inclination follows from the target departure.
- Johancsik soft-string integration from the bit up: axial load changes by the buoyed weight component plus or minus friction times the contact force; torque accumulates friction times contact force times tool-joint radius.
- Calibrate the friction factors so the model just allows the rig's longest historic well (for Njord A on the Norwegian shelf this gave 0.15 cased and 0.20 open hole, a limit about 20 percent above the 5.1 km actually drilled), then scale friction to express uncertainty.
What ships with it
5 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.
- 21d ago Changed · +1 lines 357c3d6ee64e
- 26d ago Changed · +2 lines 681d1dc09162
- 27d ago First seen · 82 lines · 113 tokens per session scan A ea3f4bf80379
neqsim-erd-reach-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 113 tokens to every session and 1,328 once invoked, about $0.0005 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 2026-10-11.
neqsim-erd-reach-screening compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-erd-reach-screeningequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 113 | 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 |