Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add InternScience/ChemClaw --skill uv-vis-spectrum-simulationgit clone --depth 1 https://github.com/InternScience/ChemClawWrote 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/uv-vis-spectrum-simulation)<a href="https://agentmods.dev/skills/internscience/chemclaw/uv-vis-spectrum-simulation"><img src="https://agentmods.dev/badge/skills/internscience/chemclaw/uv-vis-spectrum-simulation.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 | $0.00474 |
| Opus 5 | $0.00020 | $0.00237 |
| Sonnet 5 | $0.00008 | $0.00095 |
| Haiku 4.5 | $0.00004 | $0.00047 |
Grade A, and why
uv-vis-spectrum-simulation scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- None（仅标准库：urllib, re, base64） What it actually says
UV-Vis Spectrum Simulation Skill
When to use this
Use this skill when the user provides SMILES and wants:
- Predicted UV-Vis spectrum (400-700 nm)
- Publication-ready PNG plot
- No manual website steps — script fetches from UV-adVISor automatically
Inputs
- SMILES string (e.g. CCO for ethanol)
- Or CSV file path (if previously exported)
Outputs
/tmp/chemclaw/uv_vis_spectrum.png— spectrum plot
New environment (from zero)
- 仅需 Python 3.8+（建议 3.10–3.12），无需额外 pip 套件。
- 需可连外网（脚本会 POST 到 UV-adVISor）。
- 脚本目前预设即停用 SSL 凭证验证，以避免 macOS / Python 组合下的
CERTIFICATE_VERIFY_FAILED。
cd uv-vis-spectrum-simulation
python uv_vis_spectrum_simulation.py CCO
How to use
cd uv-vis-spectrum-simulation
python uv_vis_spectrum_simulation.py CCO
python uv_vis_spectrum_simulation.py "c1ccc2ccccc2c1" # naphthalene
python uv_vis_spectrum_simulation.py path/to.csv # or from CSV
Optional
cd uv-vis-spectrum-simulation
python uv_vis_spectrum_simulation.py CCO --output /tmp/chemclaw/ethanol_uv.png
Dependencies
- None（仅标准库：urllib, re, base64）
Notes
- UV-adVISor: ML model at spectra.collaborationspharma.com
- Script POSTs SMILES → "Plot graph online" → extracts PNG from HTML → saves
- Requires network connection
- 脚本预设使用 insecure SSL context，以绕过本机
CERTIFICATE_VERIFY_FAILED问题。
What ships with it
2 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.
- 8d ago First seen · 55 lines · 41 tokens per session scan A a87231009437
uv-vis-spectrum-simulation 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 474 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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