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Afm Force Curve Analyzer 1.0.0

Name: Afm Force Curve Analyzer 1.0.0
Author: xrayxiaoruiyang-pixel

作者 xrayxiaoruiyang-pixel · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install afm-force-curve-analyzer-1-0-0

功能描述

Analyzes AFM force-distance curves and nanoindentation data to extract Young's modulus, adhesion, and deformation maps using multiple indentation models.

使用说明 (SKILL.md)

SKILL.md — AFM Force Curve Analyzer

Tool Name

afm-force-curve-analyzer — AFM nanoindentation & force spectroscopy data analyzer

When to Use

When analyzing AFM force-distance curves, nanoindentation data, adhesion maps, or force spectroscopy measured during electrochemical cycling (LSV/CV/CP/CA). Triggers on phrases like:

"AFM force curve分析"
"force spectroscopy"
"nanoindentation"
"adhesion force"
"Young's modulus AFM"
"Sneddon模型"

Analysis Capabilities

Force-distance (F-D) curve import & preprocessing (baseline subtraction, tip radius correction)
Young's modulus extraction via Sneddon model (cone/pyramid/spherical indenters)
Adhesion force (F_ad) & pull-off work calculation
Multiple indentation models: Hertz, Sneddon (cone/pyramid), JKR, DMT
Electrochemical potential correlation: modulus/adhesion vs. applied potential
Deformation recovery analysis (creep/viscoelastic relaxation)
Force map 2D visualization (adhesion, modulus, deformation)
Multi-curve statistical comparison (fresh vs. cycled catalyst)
Built-in reference database: NiOOH/γ-NiOOH/FeOOH/IrO₂/RuO₂/TiO₂/LiCoO₂/Si/Pt/Au

Input Formats

CSV/XLSX ( Asylum MFP-3D / Bruker Nanoscope / JPK / NT-MDT / Keysight / Park )
TXT (force curve single file, force map grid CSV)
NWI (Nanonis)
SXM (NT-MDT)

Output

PNG multi-panel dashboard (F-D curves + statistics + potential correlation + 2D map)
CSV with all extracted parameters
JSON with metadata
Markdown summary report

Key Calculations

Sneddon model: E = (π/2) × F / (δ² × tan α) for conical indenter
Adhesion work: W_ad = ∫F_ad dδ
Reduced modulus: 1/E_r = (1−ν²)/E + (1−ν_tip²)/E_tip
Standard indenters: ν_sample=0.3 (NiOOH), ν_tip=0.17 (SiN), E_tip=97 GPa (SiN)

Usage

afm-force-curve-analyzer --input data.csv --indenter conical --tip-radius 20e-9 \
  --poisson 0.3 --output ./results --format png,csv,json,md

Author

Labclaw 🦎 — built 2026-04-17

安全使用建议

This skill appears to be an offline AFM force-curve analysis tool and does not request credentials or network access, which is good. Before installing or running it: 1) note that SKILL.md shows a CLI name (afm-force-curve-analyzer) but the package includes only analyze.py and no install wrapper — you may need to manually run analyze.py or create an entrypoint; 2) ensure the required Python scientific packages (numpy, pandas, scipy, lmfit, matplotlib) are installed in a controlled environment (virtualenv / conda), since the skill does not provide an installer; 3) inspect the full analyze.py file yourself (especially portions truncated in the bundle) for any reads of unexpected system paths or network I/O before running; 4) run the tool on non-sensitive sample data first to confirm behavior and outputs; 5) be aware the parsers use heuristic detection and may mis-parse some vendor formats (.nwi handling appears referenced in SKILL.md but a specific parser was not obvious), so verify parsed data for correctness. If you want higher assurance, ask the owner for an install script or a packaged release that declares dependencies and provides a proper CLI entrypoint.

功能分析

Type: OpenClaw Skill Name: afm-force-curve-analyzer-1-0-0 Version: 1.0.0 The skill bundle provides a specialized tool for analyzing Atomic Force Microscopy (AFM) force-distance curves and nanoindentation data. The Python script `analyze.py` implements standard scientific models (Sneddon, Hertz, JKR) and includes parsers for common instrument formats like Asylum Research, Bruker, and JPK. There are no indicators of malicious behavior, data exfiltration, or prompt injection; the code is focused entirely on mathematical analysis and visualization using standard libraries like NumPy, Pandas, and Matplotlib.

能力评估

✓ Purpose & Capability

Name, description, SKILL.md, and analyze.py all focus on AFM force-distance / nanoindentation analysis (Sneddon/Hertz/JKR/DMT models, parsing vendor formats, generating plots and CSV/JSON/MD outputs). Required capabilities requested by the skill match its stated purpose; no unrelated credentials, binaries, or external services are requested.

ℹ Instruction Scope

SKILL.md instructs running a CLI (afm-force-curve-analyzer) to process local data files and produce local outputs; there are no instructions to read system config, fetch remote endpoints, or exfiltrate data. Note: SKILL.md triggers on several natural-language phrases (including non-English), which is expected for an invocation trigger.

⚠ Install Mechanism

This is instruction-only (no install spec). analyze.py is included but SKILL.md presents a CLI name (afm-force-curve-analyzer) that is not provided by an install step or wrapper — the skill does not include a packaged executable or installation instructions to expose that command. Also the code depends on scientific Python packages (numpy, pandas, scipy, lmfit, matplotlib) but the skill provides no mechanism to ensure those are present.

✓ Credentials

The skill requests no environment variables, credentials, or config paths. The analyze.py file operates on user-supplied data files only. There is no code that reads unrelated environment variables or credential files.

✓ Persistence & Privilege

always is false and disable-model-invocation is false (normal). The skill does not request persistent system privileges or modify other skills' configurations. No evidence of self-enabling or system-wide changes in the provided files.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install afm-force-curve-analyzer-1-0-0
安装完成后，直接呼叫该 Skill 的名称或使用 /afm-force-curve-analyzer-1-0-0 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release of AFM Force Curve Analyzer: - Imports and processes AFM force-distance curves from major formats (CSV, XLSX, TXT, NWI, SXM) - Calculates Young’s modulus using Sneddon (cone/pyramid/sphere), Hertz, JKR, and DMT models - Extracts adhesion forces, work of adhesion, and viscoelastic/creep parameters - Correlates mechanical properties with applied electrochemical potential - Generates PNG summary dashboards, CSV data tables, JSON metadata, and Markdown reports - Includes force map visualization and multi-curve statistical comparisons with built-in reference materials database

元数据

Slug afm-force-curve-analyzer-1-0-0

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题