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 learningmatter-mit/AtomisticSkills --skill chem-bond-dissociationgit clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkillsWrote 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/learningmatter-mit/atomisticskills/chem-bond-dissociation)<a href="https://agentmods.dev/skills/learningmatter-mit/atomisticskills/chem-bond-dissociation"><img src="https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/chem-bond-dissociation.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 | $0.00039 | $0.02996 |
| Opus 5 | $0.00019 | $0.01498 |
| Sonnet 5 | $0.00008 | $0.00599 |
| Haiku 4.5 | $0.00004 | $0.00300 |
Grade A, and why
chem-bond-dissociation 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 7d 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bond Dissociation Energy Skill
Goal
Calculate the homolytic and/or heterolytic bond dissociation energy (BDE) for each single bond in a molecule using Machine Learning Interatomic Potentials (MLIPs).
Homolytic BDE (radical fragments): $$\text{BDE}_\text{homo}(A{-}B) = E(A\bullet) + E(B\bullet) - E(A{-}B)$$
Heterolytic BDE (ionic fragments, minimum over both polarity variants): $$\text{BDE}_\text{hetero}(A{-}B) = \min!\bigl(E(A^+)+E(B^-),; E(A^-)+E(B^+)\bigr) - E(A{-}B)$$
[!IMPORTANT] This skill computes BDEs by relaxing both the intact molecule and fragments with an MLIP. For purpose-trained GNN models that predict BDE directly from SMILES (MAE ~0.6 kcal/mol), consider ALFABET or BonDNet instead.
Background
BDE is a fundamental thermodynamic quantity that determines:
- Drug metabolism: CYP450 enzymes abstract H from the weakest C–H bond
- Electrolyte stability: Which bonds break first under electrochemical voltage
- Combustion chemistry: Rate-determining bond-breaking steps in fuel oxidation
- Polymer degradation: Weakest links in polymer backbone chains
A 2024 study (Zubatyuk et al., JCTC) demonstrated that MACE potentials achieve BDE RMSE of 1.37 kcal/mol for aliphatic C–H bonds in drug-like molecules, outperforming semi-empirical methods and ALFABET for BDE ranking.
1. Prerequisites
- Conda Environment:
mace-agent(includes RDKit, ASE, and MACE) - Input: SMILES string or structure file (
.sdf,.mol2) - RDKit: Required for bond identification and molecular fragmentation
2. Choosing a Foundation Potential
Refer to the foundation-potentials skill for model selection.
[!IMPORTANT] Model requirements by cleavage mode:
Mode Recommended model supports_charge_spinValidated? homolyticMACE-OFF23-small/medium/largeNot required ✅ heterolyticorbothMACE-OMOL-extra-large(env:mace-agent)✅ Required ✅ heterolyticorbothMACE-MH-1with omol head (env:mace-agent)✅ Required ✅ heterolyticorbothFairChem uma-s-1p1with--task_name omol(env:fairchem-agent)✅ Required ✅ Setting charge/spin on MACE models: use
atoms.info["charge"]andatoms.info["spin"](the calculator's defaultinfo_keysmaps"charge"→total_charge/"spin"→total_spin). Both MACE-OMOL and MACE-MH usejoint_embeddingto condition the network on these scalars.If you request
--cleavage bothwith a model that does not support charge/spin, the skill will log a warning and silently fall back to homolytic-only. Using--cleavage heterolyticwith an unsupported model raises an error.Note on single-atom fragments: When a bond produces a bare H (or other single atom), heterolytic BDE is automatically skipped — neither MACE nor FairChem UMA has signed single-atom energies (only neutral H, C, N, O… are in the reference tables).
What ships with it
57 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.
- examples/ethanol_mace_off23_small/bde_results.json 7.5 KB
- examples/ethanol_mace_off23_small/frag_bond0_1.xyz 747 B
- examples/ethanol_mace_off23_small/frag_bond0_2.xyz 850 B
- examples/ethanol_mace_off23_small/frag_bond1_1.xyz 1.0 KB
- examples/ethanol_mace_off23_small/frag_bond1_2.xyz 540 B
- examples/ethanol_mace_off23_small/frag_bond2_1.xyz 1.1 KB
- examples/ethanol_mace_off23_small/frag_bond2_2.xyz 265 B
- examples/ethanol_mace_off23_small/frag_bond3_1.xyz 1.1 KB
- examples/ethanol_mace_off23_small/frag_bond3_2.xyz 265 B
- examples/ethanol_mace_off23_small/frag_bond4_1.xyz 1.1 KB
- examples/ethanol_mace_off23_small/frag_bond4_2.xyz 265 B
- examples/ethanol_mace_off23_small/frag_bond5_1.xyz 1.1 KB
- examples/ethanol_mace_off23_small/frag_bond5_2.xyz 265 B
- examples/ethanol_mace_off23_small/frag_bond6_1.xyz 1.1 KB
- examples/ethanol_mace_off23_small/frag_bond6_2.xyz 265 B
- examples/ethanol_mace_off23_small/frag_bond7_1.xyz 1.1 KB
- examples/ethanol_mace_off23_small/frag_bond7_2.xyz 265 B
- examples/ethanol_mace_off23_small/intact_relaxed.xyz 1.2 KB
- examples/ethanol_mace_off23_small/README.md 1.4 KB
- examples/methanol_mace_omol_both/bde_results.json 8.1 KB
- examples/methanol_mace_omol_both/frag_bond0_hetero_neg_pos_1.xyz 261 B
- examples/methanol_mace_omol_both/frag_bond0_hetero_neg_pos_2.xyz 153 B
- examples/methanol_mace_omol_both/frag_bond0_hetero_pos_neg_1.xyz 261 B
- examples/methanol_mace_omol_both/frag_bond0_hetero_pos_neg_2.xyz 153 B
- examples/methanol_mace_omol_both/frag_bond0_homo_1.xyz 261 B
- examples/methanol_mace_omol_both/frag_bond0_homo_2.xyz 153 B
- examples/methanol_mace_omol_both/frag_bond1_homo_1.xyz 315 B
- examples/methanol_mace_omol_both/frag_bond1_homo_2.xyz 99 B
- examples/methanol_mace_omol_both/frag_bond2_homo_1.xyz 315 B
- examples/methanol_mace_omol_both/frag_bond2_homo_2.xyz 99 B
- examples/methanol_mace_omol_both/frag_bond3_homo_1.xyz 315 B
- examples/methanol_mace_omol_both/frag_bond3_homo_2.xyz 99 B
- examples/methanol_mace_omol_both/frag_bond4_homo_1.xyz 315 B
- examples/methanol_mace_omol_both/frag_bond4_homo_2.xyz 99 B
- examples/methanol_mace_omol_both/intact_relaxed.xyz 1.0 KB
- examples/methanol_mace_omol_both/README.md 1.5 KB
- examples/methanol_uma_omol_both/bde_comparison.png 135 KB
- examples/methanol_uma_omol_both/bde_results.json 8.1 KB
- examples/methanol_uma_omol_both/frag_bond0_hetero_neg_pos_1.xyz 261 B
- examples/methanol_uma_omol_both/frag_bond0_hetero_neg_pos_2.xyz 153 B
- examples/methanol_uma_omol_both/frag_bond0_hetero_pos_neg_1.xyz 261 B
- examples/methanol_uma_omol_both/frag_bond0_hetero_pos_neg_2.xyz 153 B
- examples/methanol_uma_omol_both/frag_bond0_homo_1.xyz 261 B
- examples/methanol_uma_omol_both/frag_bond0_homo_2.xyz 153 B
- examples/methanol_uma_omol_both/frag_bond1_homo_1.xyz 315 B
- examples/methanol_uma_omol_both/frag_bond1_homo_2.xyz 99 B
- examples/methanol_uma_omol_both/frag_bond2_homo_1.xyz 315 B
- examples/methanol_uma_omol_both/frag_bond2_homo_2.xyz 99 B
- examples/methanol_uma_omol_both/frag_bond3_homo_1.xyz 315 B
- examples/methanol_uma_omol_both/frag_bond3_homo_2.xyz 99 B
- examples/methanol_uma_omol_both/frag_bond4_homo_1.xyz 315 B
- examples/methanol_uma_omol_both/frag_bond4_homo_2.xyz 99 B
- examples/methanol_uma_omol_both/intact_relaxed.xyz 968 B
- examples/methanol_uma_omol_both/plot.py 7.3 KB runs code
- examples/methanol_uma_omol_both/README.md 3.0 KB
- examples/README.md 1.5 KB
- scripts/calculate_bde.py 38 KB runs code
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.
- 7d ago First seen · 228 lines · 39 tokens per session scan A 62bf91e0756f
chem-bond-dissociation is a skill published in the GitHub repository learningmatter-mit/AtomisticSkills (161 stars, last pushed 3d ago), licensed MIT. It adds 39 tokens to every session and 2,996 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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