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 corrosion-electrochemistrygit 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/corrosion-electrochemistry)<a href="https://agentmods.dev/skills/sfetni/deep-matter-chem-skills/corrosion-electrochemistry"><img src="https://agentmods.dev/badge/skills/sfetni/deep-matter-chem-skills/corrosion-electrochemistry/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/corrosion-electrochemistry"><img src="https://agentmods.dev/badge/skills/sfetni/deep-matter-chem-skills/corrosion-electrochemistry.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 | $0.00006 | $0.04077 |
| Opus 5 | $0.00003 | $0.02039 |
| Sonnet 5 | $0.00001 | $0.00815 |
| Haiku 4.5 | $0.00001 | $0.00408 |
Grade A, and why
corrosion-electrochemistry 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 12d 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 — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Corrosion Electrochemistry
Description
This skill covers corrosion and electrochemistry workflows for materials degradation and surface reactions: electrode potentials, reference electrodes, polarization curves, impedance, passivation, pitting, galvanic coupling, Pourbaix diagrams, transport modeling, surface chemistry, parameter calibration, uncertainty, and validation against experiments, thermodynamics, DFT, and continuum models. Invoke this skill when an agent needs to reason about electrochemical stability, corrosion kinetics, solution chemistry, surface reactions, or degradation risk in materials environments.
Domain Context
Corrosion is an electrochemical degradation process controlled by thermodynamics, kinetics, mass transport, surface chemistry, microstructure, and environment. A metal or semiconductor surface may be thermodynamically unstable but kinetically protected by a passive film, or thermodynamically passive but vulnerable to pitting, crevice chemistry, galvanic coupling, stress corrosion cracking, or local breakdown. No single diagram or polarization curve captures the whole risk.
Electrode potentials are defined relative to reference electrodes. Converting between SHE, RHE, Ag/AgCl, SCE, Hg/HgO, Li/Li+, and other references requires temperature, electrolyte, activity, and reference-electrode details. Wrong conversions can shift conclusions by hundreds of millivolts. pH, chloride activity, dissolved oxygen, temperature, flow, alloy composition, surface preparation, oxide history, and stress state can all control the measured response. [EXPERT REVIEW NEEDED]
Thermodynamic tools such as Pourbaix diagrams indicate equilibrium stability as a function of potential and pH under specified activities. They do not prove corrosion resistance, passivation quality, pit nucleation probability, or current density. Kinetic workflows use polarization curves, Tafel analysis, Butler-Volmer models, exchange current densities, impedance spectra, and transport models to estimate rates and mechanisms. The thermodynamic and kinetic pictures must be interpreted together.
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.
- 12d ago First seen · 287 lines · 6 tokens per session scan A 2ecce498b494
corrosion-electrochemistry is a skill published in the GitHub repository SFETNI/Deep-Matter-Chem-Skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 6 tokens to every session and 4,077 once invoked, about $0.0000 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 2026-08-31.
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