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 SFETNI/Deep-Matter-Chem-Skills --skill enhanced-samplinggit clone --depth 1 https://github.com/SFETNI/Deep-Matter-Chem-SkillsWrote 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/sfetni/deep-matter-chem-skills/enhanced-sampling)<a href="https://agentmods.dev/skills/sfetni/deep-matter-chem-skills/enhanced-sampling"><img src="https://agentmods.dev/badge/skills/sfetni/deep-matter-chem-skills/enhanced-sampling/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sfetni/deep-matter-chem-skills/enhanced-sampling"><img src="https://agentmods.dev/badge/skills/sfetni/deep-matter-chem-skills/enhanced-sampling.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00004 | $0.15359 |
| Opus 5 | $0.00002 | $0.07680 |
| Sonnet 5 | $0.00001 | $0.03072 |
| Haiku 4.5 | $0.00000 | $0.01536 |
Grade A, and why
enhanced-sampling 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 11d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
result = subprocess.run([ How it starts
The opening of the file, as written. The whole thing — 991 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Enhanced Sampling
Description
This skill covers enhanced sampling methods for atomistic MD simulations where rare events, large free-energy barriers, or slow conformational transitions prevent standard MD from converging on accessible timescales. It addresses collective variable (CV) selection and validation; umbrella sampling with WHAM/MBAR reconstruction; well-tempered metadynamics; adaptive biasing force; steered MD; temperature replica exchange; accelerated MD; free-energy surface convergence diagnostics; and PLUMED integration with GROMACS, LAMMPS, and ML interatomic potentials. Invoke this skill whenever a process of interest has an estimated barrier ≳ 10 k_B T or an estimated timescale that cannot be sampled directly within the available simulation budget.
Domain Context
Standard MD is limited to continuous trajectories. For a system at 300 K, barrier-crossing events with ΔG‡ ≳ 10 k_B T (≳ 25 kJ/mol) occur with rates of order k ~ ν exp(−ΔG‡/k_B T) ≈ 10¹³ × e⁻¹⁰ s⁻¹ ≈ 10⁻⁸ s⁻¹ — a mean first-passage time of ~100 ns. Protein folding, crystal nucleation, ion permeation through channels, and solid-state diffusion all fall into this regime.
Enhanced sampling methods modify the system to accelerate barrier crossing and then reconstruct the unbiased free energy surface (FES) from the biased simulation. The modifications take four forms:
- Bias potentials on collective variables (CVs): A time-varying or history-dependent potential V_bias(ξ) is added along one or more CVs ξ(r). The CV must capture the reaction coordinate — it must separate the metastable states and project out the slow degrees of freedom. A poor CV does not accelerate the relevant transition even if the method runs correctly.
- Hamiltonian or temperature ladders (replica exchange): Multiple copies of the system run in parallel at different temperatures or with different Hamiltonians. Exchanges between replicas are accepted with the Metropolis criterion, enabling high-temperature configurations to escape local minima and donate configurations to lower-temperature replicas.
- Time-independent bias (flat histogram): The WAN to-WHAM or MBAR approach reconstructs the FES from multiple biased simulations (umbrella sampling windows) by reweighting each frame by the inverse of its bias weight.
- Velocity-boosted or modified-potential approaches (accelerated MD): A dihedral or total boost potential is added to reduce barriers globally rather than along a specific CV.
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.
- 11d ago First seen · 991 lines · 4 tokens per session scan A a7c64df01181
enhanced-sampling is a skill published in the GitHub repository SFETNI/Deep-Matter-Chem-Skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 4 tokens to every session and 15,359 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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