Install
$ agentstack add skill-internscience-chemclaw-raman-spectra-simulation ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Raman Spectra Simulation Skill
When to use this
Use this skill when the user provides a SMILES or XYZ file (coordinates) and wants:
- Optimized geometry
- Theoretically calculated Raman spectrum in a summarized table
- Quick overview of simulated Raman spectrum
- Publication-ready image file
Inputs
- SMILES string (e.g. CCO for ethanol) or XYZ file path (necessary)
- A corresponding experimental Raman spectrum (optional, .txt format)
Outputs
/tmp/chemclaw/optimized_geometry.md/tmp/chemclaw/theoretical_raman.md/tmp/chemclaw/theoretical_raman.png/tmp/chemclaw/exp_raman.png(optional, if experimental data provided)/tmp/chemclaw/comparison_raman.png(optional, if experimental data provided)
Agent response
When returning results to the user, include the generated spectrum image(s) in the response so the user sees them directly. Use markdown image syntax with the correct path to the PNG file(s), e.g. `. Include comparison_raman.png` if experimental data was provided.
New environment (from zero)
conda create -n spec python=3.12 -y
conda activate spec
conda install -c conda-forge xtb -y # macOS 必装(MLatom 内建 xTB 为 Linux 版)
pip install mlatom numpy matplotlib pyscf geometric rdkit
cd raman-spectra-simulation
python raman_spectra_simulation.py CCO
# optional: python raman_spectra_simulation.py /path/to/structure.xyz
# optional: python raman_spectra_simulation.py CCO experimental_raman.txt
- 请在 skill 目录内执行脚本。
- macOS 若仍误用 MLatom 内建 Linux 版 xTB,可
export PATH="$CONDA_PREFIX/bin:$PATH"让系统先找到 conda 的xtb。
How to use(已装好环境时)
SMILES:
cd raman-spectra-simulation
python raman_spectra_simulation.py CCO
XYZ(用户提供坐标文件):
cd raman-spectra-simulation
python raman_spectra_simulation.py /path/to/structure.xyz
含实验谱对照:
cd raman-spectra-simulation
python raman_spectra_simulation.py CCO experimental_raman.txt
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: InternScience
- Source: InternScience/ChemClaw
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.