skill-097

skill-097 is a skill for Claude Code, Codex from legendtkl/agentic-skill-router. It costs 23 tokens per session (460 once invoked), scanned A, original, MIT.

A chemistry simulator that takes reactants, conditions, and chemical properties as input and predicts reaction products and possible yield.

In plain words
What is it for?
Use it to model reactions by specifying compounds, temperature, pressure, catalysts, and other relevant properties.
Why use it?
It helps chemists explore likely reaction outcomes and compare conditions before carrying out experiments.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to model reactions by specifying compounds, temperature, pressure, catalysts, and other relevant properties.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/legendtkl/agentic-skill-router/skill-097
Install

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.

Any agent
npx skills add legendtkl/agentic-skill-router --skill skill-097
Clone the repo
git clone --depth 1 https://github.com/legendtkl/agentic-skill-router

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for skill-097

README.md
[![agentmods](https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-097/github.svg)](https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-097)
Your own site
<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-097"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-097/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.

agentmods 80×15 button for skill-097

Your own site · 80×15
<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-097"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-097.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 460 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00023 $0.00460
Opus 5 $0.00012 $0.00230
Sonnet 5 $0.00005 $0.00092
Haiku 4.5 $0.00002 $0.00046

Measured 6d ago against content hash b01aae992fd6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

skill-097 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.

experiments/dci-compare/skillrouter-skills/skill-097/SKILL.md · 60 lines

What it actually says

Chemical Reaction Simulator Guide

Overview

This skill allows users to simulate chemical reactions by inputting reactants, conditions, and chemical properties. The output includes predicted products and reaction yield, enabling chemists to hypothesize outcomes and optimize conditions for desired results.

Input Parameters

To use this simulator, you need to specify the following parameters:

  • Reactants: List of chemical compounds involved in the reaction.
  • Conditions: Temperature, pressure, and any catalysts that may influence the reaction.
  • Chemical Properties: Specific properties of the reactants such as solubility, state of matter, etc.

Quick Start

from reaction_simulator import ReactionSimulator

# Initialize the reaction simulator
simulator = ReactionSimulator()

# Define reactants and conditions
reactants = ["H2", "O2"]
conditions = {"temperature": 300, "pressure": 1}

# Run the simulation
products = simulator.simulate(reactants, conditions)
print(products)

Reaction Prediction

The simulator predicts the products and potential yield of the reaction:

# Example of predicting a reaction
reactants = ["C6H12O6", "O2"]
conditions = {"temperature": 37, "pressure": 1}

# Simulate the reaction
predicted_products = simulator.predict(reactants, conditions)
print(f"Predicted Products: {predicted_products}")

Advanced Features

Kinetics and Thermodynamics

The simulator can also compute reaction kinetics and thermodynamic properties if you provide the necessary data:

kinetic_data = {"activation_energy": 50, "frequency_factor": 1e12}
thermo_data = {"enthalpy_change": -280, "entropy_change": -200}

# Calculate kinetics and thermodynamics
results = simulator.advanced_calculation(reactants, conditions, kinetic_data, thermo_data)
print(results)

For detailed guidance on input parameters and simulation options, refer to the detailed documentation at docs/reaction_simulator.md.

Changes

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.

  1. 6d ago First seen · 60 lines · 23 tokens per session scan A b01aae992fd6

Subscribe to this mod's changes

skill-097 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 460 once invoked, about $0.0001 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 2026-09-03.

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