Near Surface Geophysics

SKILL研究检索
研究检索 未标注权限 许可证不明确

Plan and validate near-surface interpretation from GPR, electrical resistivity tomography, or magnetotelluric data. Use when selecting acquisition-dependent processing and inversion branches, comparing survey results, or relating geophysical anomalies to independently supported geological hypotheses.

一句话选型结论

按资料字段整理

Near Surface Geophysics是研究检索类的 Agent Skill,安装方式:GitHub 仓库,权限级别未标注,许可证不明确,没有现成安装命令,需按说明手动放置 SKILL.md。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类研究检索 安装方式GitHub 仓库 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 geoscience-skills
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

GitHub 仓库
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    按安装说明或仓库 README,把 SKILL.md 放到客户端的 skills 目录(一般一个技能一个文件夹)。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

研究检索
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方steadfastasart仓库 geoscience-skills · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式GitHub 仓库安装包 steadfastasart/geoscience-skills
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 2026-09-15
正文体量7.3 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
查资料并整理出处

让模型按主题查资料,并把引用来源整理成清单。

网页与文献要点提炼

把长文、论文、网页压成能直接看的要点。

竞品与行业汇总

按关键词汇总竞品动态与行业信息。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 基础信息齐全,可以先按说明装一个试试。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有现成安装命令,要按安装说明或仓库 README 手动放置。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在研究检索场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
Near Surface Geophysics当前 未标注权限 GitHub 仓库 未标注 未标注 无
寻找技能 浏览器控制 GitHub 仓库 3120.0 万 Codex、Claude、Cursor 有
自我改进 Agent 接触敏感数据 ClawHub 市场 1646.4 万 OpenClaw 有
灵魂追踪 联网访问 GitHub 仓库 758.9 万 Codex、Claude、Cursor 有
自我完善 联网访问 ClawHub 市场 682.9 万 OpenClaw 有
微软代工厂 调用外部服务 GitHub 仓库 661.4 万 Codex、Claude、Cursor 有

SKILL.md 全文

7.3 KB
模型实际读到的说明书原文,来自技能仓库

Near-Surface Geophysics

Select only branches supported by the supplied data. This is a single-agent
workflow; companion skills are optional references, and a missing GPR or MT
dataset does not prevent an ERT-only interpretation.

Input-dependent routes

Input Start with Required checks before interpretation
GPR traces and acquisition geometry gprpy Trace order/spacing, sample-time units, time zero, antenna offsets and an independently supported velocity model
ERT electrode geometry and measurements pygimli Electrode indexing, measured quantities, geometric factors, uncertainty/reciprocals and topography
MT transfer functions or EDI files mtpy Frequency coverage, impedance units and convention, rotations, tensor components and uncertainty
Multiple methods with compatible survey support Process each branch independently, then compare Common CRS/vertical reference, resolution, uncertainty and acquisition timing

If only an image is available, state which quantitative operations require raw
data or survey metadata. Do not infer a complete inversion dataset from colours
or an unlabelled axis. Check package version and file-reader support before
choosing a library-specific implementation.

Shared preparation

Retain raw files and acquisition metadata with checksums. Establish horizontal
CRS, elevation datum, profile direction, measurement units and sign conventions.
Keep instrument flags and a record of excluded readings. Describe the physical
question and independent borehole, geological or hydrological constraints before
tuning an image or model to resemble an expected structure.

GPR branch

Inspect unprocessed radargrams first. Apply time-zero correction only when a
justified reference is available, and select documented signal processing;
compare each step to the input.
Record filter bands relative to sample interval and antenna bandwidth. Gain
changes amplitude interpretation, and background removal can suppress genuine
laterally continuous reflectors. Preserve original amplitudes when an amplitude
comparison is required.

Keep two-way travel time as the native vertical coordinate until velocity is
supported by survey measurements or a stated scenario. Report the assumed
velocity, units and uncertainty for depth conversion or migration; do not use
a generic dielectric constant as a measured site property. Separate an observed
reflector from a geological boundary hypothesis.

The checked GPR route is raw SEG-Y via segyio or native paired MALA via GPRPy,
selected sample/trace operations, then NPZ plus JSON export and readback. The
gprpy helper records encoded headers and leaves unresolved time/position units
as indices. GPRPy's dewow window is a sample count; it has no native SEG-Y
export API. Use the companion helper when installed, or implement the same
auditable steps with the available libraries and their current documentation.

ERT branch

Distinguish measured resistance/voltage/current from apparent resistivity. Verify
electrode indices and geometry before recomputing geometric factors, including
topography where required. Estimate errors from repeat/reciprocal observations
when available; document any assumed error floor and filtering criteria.
See the pyGIMLi topography example
when selecting the matching data and geometric-factor route.

Check forward response and data units before inversion. Compare observed and
predicted data, normalised residuals, convergence and sensitivity to mesh,
regularisation and starting model. A pseudosection is a data display, not a
resolved depth model. A small misfit alone does not establish uniqueness or
depth of investigation; mark weakly constrained regions using justified
sensitivity/resolution analysis and alternative plausible models.

For an explicitly flat two-layer diagnostic, the bundled
ERT helper provides an executed route from
quadrupole measurements and nominal electrode positions to inversion, a fixed
reciprocal-group holdout, and CSV/JSON response/residual readback. It checks
local convergence and reports when the combined model/error assumptions fail.
This lightweight route is not a topographic 2D/3D ERT reconstruction; use an
appropriate mesh/solver for those tasks. See the
input schema and branch limits.

MT branch

Inspect tensor components, uncertainty, frequency sampling and phase behaviour.
Confirm units, time convention and rotations before plotting apparent
resistivity/phase or exporting inversion inputs. Use the mtpy skill and the
installed-version documentation for EDI and transfer-function details. Choose
1D, 2D or 3D modelling only after examining dimensionality, survey geometry and
available computational tools; a plotting library does not guarantee an
installed inversion solver.

The checked MT route uses the mtpy-v2 distribution: read direct-impedance EDI,
inspect source masks/variances, apply an explicitly requested tensor rotation,
then export QC CSV/JSON and optional response plots with readback. Complete
tensors also undergo actual EDI write/read. A field-derived transfer-function
sample supports this route; raw time-series estimation and MT inversion remain
separate tasks. Preserve signed component phases and unknown uncertainties.

Comparison, outputs and limits

Deliver QC tables, processing/model configuration, observed-versus-predicted
checks, georeferenced products and uncertainty notes. Preserve each method's
native sampling/resolution when overlaying results; resampling onto one grid
does not create equal resolution or independent evidence.

Test interpretation against withheld lines, repeat surveys or independent site
information when available. Shared preprocessing, priors and reused boreholes
must not enter both model fitting and a supposedly independent validation set.
Electrical properties also depend on fluids, salinity, saturation, temperature
and clay; avoid converting a resistivity anomaly directly into a unique lithology,
water table or hydraulic conductivity without calibrated supporting evidence.

The three branches now have separate executed import-to-export checks: observed
GPR sample-index processing plus separately generated physical-unit data,
observed ERT fit/holdout plus separate controlled model recovery, and an upstream
field-derived MT EDI plus independent tensor/impedance checks. They are different
surveys and must not be combined into a fictitious common-site interpretation.
Joint inversion, general field accuracy and every vendor format are outside
these checks; report the branch and physical assumptions actually exercised.

常见问题

5 问
答案由本站依据条目字段整理
Near Surface Geophysics怎么安装?

没有现成安装命令:按安装说明或仓库 README,把 SKILL.md 放进客户端的 skills 目录(一般一个技能一个文件夹)。

Near Surface Geophysics支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

Near Surface Geophysics权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

Near Surface Geophysics收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

Near Surface Geophysics用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。