Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/InternScience/ChemClawnpx agentmods add skills/internscience/chemclaw/mol-2d-viewerWrote 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/internscience/chemclaw/mol-2d-viewer)<a href="https://agentmods.dev/skills/internscience/chemclaw/mol-2d-viewer"><img src="https://agentmods.dev/badge/skills/internscience/chemclaw/mol-2d-viewer.svg" alt="Measured on agentmods" 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 | $0.00041 | $0.02242 |
| Opus 5 | $0.00020 | $0.01121 |
| Sonnet 5 | $0.00008 | $0.00448 |
| Haiku 4.5 | $0.00004 | $0.00224 |
Grade A, and why
mol-2d-viewer 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 6d 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 — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Molecular Structure Visualizer
将 SMILES 字符串或化学名称转换为分子结构图，支持聚合物 2D 结构绘制。
触发条件
- 用户提供 SMILES 并要求可视化
- 提到"分子结构"、"可视化"、"draw molecule"
- 说"SMILES 转图片"、"显示结构"
- 提供聚合物名称或 SMILES
功能
- ✅ SMILES → 分子结构图
- ✅ IUPAC 名称 → 结构图（自动通过 OPSIN 转 SMILES）
- ✅ 聚合物支持 - 正确渲染聚合物重复单元
- ✅ 输出 PNG 或 SVG 格式
- ✅ 可自定义尺寸、样式
- ✅ 批量生成
- ✅ 聚合物标题 - 自动添加化合物名称作为标题
聚合物渲染
对于聚合物 SMILES（包含 * 连接点标记）：
- 自动识别聚合物标记
- 清理 SMILES 以便正确渲染
- 添加"Polymer Structure"标题
- 使用增强的渲染选项（更粗的键、更大的原子标签）
聚合物 SMILES 格式
*monomer* # 简单聚合物
*[linker]monomer* # 带连接基团的聚合物
*CC* # 聚乙烯
*OCC* # 聚环氧乙烷
*OCC(C)* # 聚环氧丙烷
使用方法
对话框中使用
画出 ethanol 的分子结构
SMILES: CCO，生成结构图
可视化 aspirin，保存为 SVG
poly[oxy(1-methylethylene)] 画结构图
批量生成：CCO,C1=CC=CC=C1
命令行使用
# 从 SMILES 生成
python3 scripts/mol_2d_viewer.py --smiles "CCO" --output ethanol.png
# 从名称生成
python3 scripts/mol_2d_viewer.py --name "aspirin" --output aspirin.svg
# 聚合物 SMILES
python3 scripts/mol_2d_viewer.py --smiles "*OCC*" --output peo.png
# 聚合物名称
python3 scripts/mol_2d_viewer.py --name "poly[oxy(1-methylethylene)]" --output ppo.png
# 批量生成
python3 scripts/mol_2d_viewer.py --smiles "CCO,C1=CC=CC=C1" --output-dir ./molecules
# 自定义尺寸
python3 scripts/mol_2d_viewer.py --smiles "CCO" --width 400 --height 300
参数说明
| 参数 | 简写 | 说明 | 默认值 |
|---|---|---|---|
--smiles |
-s |
SMILES 字符串（可多个） | - |
--name |
-n |
IUPAC 名称 | - |
--output |
-o |
输出文件路径 | 自动生成 |
--output-dir |
-d |
输出目录（批量模式） | ~/.openclaw/media/mol-2d-viewer |
--format |
-f |
输出格式：png/svg | png |
--width |
-W |
图片宽度（像素） | 400 |
--height |
-H |
图片高度（像素） | 300 |
--kekulize |
-k |
凯库勒化（显示双键） | false |
--quiet |
-q |
安静模式 | false |
--stdout |
输出 base64 到 stdout | false |
输出示例
单个分子
$ python3 mol_2d_viewer.py -s "CCO" -o ethanol.png
✓ 已生成：ethanol.png (400x300, PNG)
聚合物
$ python3 mol_2d_viewer.py -s "*OCC*" -o peo.png
✓ 已生成：peo.png (400x300, PNG) [聚合物]
$ python3 mol_2d_viewer.py -n "poly[oxy(1-methylethylene)]" -o ppo.png
✓ 已生成：ppo.png (400x300, PNG) [聚合物]
What ships with it
3 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.
- 6d ago First seen · 234 lines · 41 tokens per session scan A 0f835b0ba89e
mol-2d-viewer is a skill published in the GitHub repository InternScience/ChemClaw (52 stars, last pushed 5mo ago), licensed MIT. It adds 41 tokens to every session and 2,242 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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