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Afm Force Curve Analyzer 1.0.0
by
xrayxiaoruiyang-pixel
· GitHub ↗
· v1.0.0
· MIT-0
81
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Install in OpenClaw
/install afm-force-curve-analyzer-1-0-0
Description
Analyzes AFM force-distance curves and nanoindentation data to extract Young's modulus, adhesion, and deformation maps using multiple indentation models.
README (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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install afm-force-curve-analyzer-1-0-0 - After installation, invoke the skill by name or use
/afm-force-curve-analyzer-1-0-0 - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is Afm Force Curve Analyzer 1.0.0?
Analyzes AFM force-distance curves and nanoindentation data to extract Young's modulus, adhesion, and deformation maps using multiple indentation models. It is an AI Agent Skill for Claude Code / OpenClaw, with 81 downloads so far.
How do I install Afm Force Curve Analyzer 1.0.0?
Run "/install afm-force-curve-analyzer-1-0-0" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Afm Force Curve Analyzer 1.0.0 free?
Yes, Afm Force Curve Analyzer 1.0.0 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Afm Force Curve Analyzer 1.0.0 support?
Afm Force Curve Analyzer 1.0.0 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Afm Force Curve Analyzer 1.0.0?
It is built and maintained by xrayxiaoruiyang-pixel (@xrayxiaoruiyang-pixel); the current version is v1.0.0.
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