token-bonding-curves

token-bonding-curves is a skill for Claude Code, Codex from ccashwell/evm-cortex. It costs 42 tokens per session (1,616 once invoked), scanned A, original, MIT.

A guide to bonding curves, mathematical pricing rules where a token’s price changes with its supply. It covers token sales, automated market makers, and continuous token models.

In plain words
What is it for?
Use it to design linear, polynomial, logarithmic, sigmoid, or Bancor-style curves for minting and burning tokens.
Why use it?
It explains how to calculate buying and selling prices as supply changes, including the reserve and token-supply effects.

Skill for Claude CodeCodex

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

Good fit Use it to design linear, polynomial, logarithmic, sigmoid, or Bancor-style curves for minting and burning tokens.

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Install with agentmods
npx agentmods add skills/ccashwell/evm-cortex/token-bonding-curves
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 ccashwell/evm-cortex --skill token-bonding-curves
Clone the repo
git clone --depth 1 https://github.com/ccashwell/evm-cortex

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.

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README.md
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Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,616 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00042 $0.01616
Opus 5.5 $0.00017 $0.00646
Sonnet 5.5 $0.00008 $0.00323
Haiku 4.5 $0.00004 $0.00162

Measured 1mo ago against content hash c87ac95c3f5b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

token-bonding-curves 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 1mo 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.

skills/token-bonding-curves/SKILL.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Token Bonding Curves

Concept

A bonding curve is a mathematical function that defines the price of a token as a function of its supply. As supply increases, price increases along the curve. Tokens are minted on buy and burned on sell, with a reserve backing the curve.

price = f(supply)
cost_to_buy(n) = integral(f, supply, supply + n)
proceeds_from_sell(n) = integral(f, supply - n, supply)

Curve Types

Curve Formula Behavior
Linear price = m * supply + b Steady price increase
Polynomial price = a * supply^n Accelerating increase (n>1)
Logarithmic price = a * ln(supply) + b Decelerating increase
Sigmoid price = a / (1 + e^(-k*(supply-mid))) S-curve with plateau
Bancor price = reserve / (supply * CW) Connector weight model

Linear Bonding Curve Implementation

// SPDX-License-Identifier: MIT
pragma solidity ^0.8.20;

import {ERC20} from "@openzeppelin/contracts/token/ERC20/ERC20.sol";
import {ReentrancyGuard} from "@openzeppelin/contracts/utils/ReentrancyGuard.sol";

contract LinearBondingCurve is ERC20, ReentrancyGuard {
    uint256 public immutable slope;      // price increase per token (in wei per token)
    uint256 public immutable basePrice;  // starting price (in wei per token)
    uint256 public reserveBalance;

    constructor(uint256 _slope, uint256 _basePrice)
        ERC20("BondingToken", "BOND")
    {
        slope = _slope;
        basePrice = _basePrice;
    }

    /// @notice Price at a given supply level
    function priceAtSupply(uint256 supply) public view returns (uint256) {
        return basePrice + (slope * supply / 1e18);
    }

    /// @notice Cost to buy `amount` tokens at current supply
    /// @dev Integral of linear function: base*amount + slope*(s1^2 - s0^2) / (2 * 1e18)
    function getBuyCost(uint256 amount) public view returns (uint256) {
        uint256 s0 = totalSupply();
        uint256 s1 = s0 + amount;
        uint256 baseCost = basePrice * amount / 1e18;
        uint256 slopeCost = slope * (s1 * s1 - s0 * s0) / (2 * 1e36);
        return baseCost + slopeCost;
    }

    /// @notice Proceeds from selling `amount` tokens at current supply
    function getSellProceeds(uint256 amount) public view returns (uint256) {
        uint256 s0 = totalSupply();
        require(amount <= s0, "exceeds supply");
        uint256 s1 = s0 - amount;
        uint256 baseCost = basePrice * amount / 1e18;
        uint256 slopeCost = slope * (s0 * s0 - s1 * s1) / (2 * 1e36);
        return baseCost + slopeCost;
    }

    function buy(uint256 minTokens) external payable nonReentrant {
        uint256 cost = getBuyCost(minTokens);
        require(msg.value >= cost, "insufficient payment");

        reserveBalance += cost;
        _mint(msg.sender, minTokens);

        uint256 refund = msg.value - cost;
        if (refund > 0) {
            (bool ok, ) = msg.sender.call{value: refund}("");
            require(ok, "refund failed");
        }

        emit Buy(msg.sender, minTokens, cost);
    }

    function sell(uint256 amount) external nonReentrant {
        require(balanceOf(msg.sender) >= amount, "insufficient balance");

        uint256 proceeds = getSellProceeds(amount);
        require(proceeds <= reserveBalance, "insufficient reserve");

        reserveBalance -= proceeds;
        _burn(msg.sender, amount);

        (bool ok, ) = msg.sender.call{value: proceeds}("");
        require(ok, "transfer failed");

        emit Sell(msg.sender, amount, proceeds);
    }

    event Buy(address indexed buyer, uint256 amount, uint256 cost);
    event Sell(address indexed seller, uint256 amount, uint256 proceeds);

    receive() external payable {}
}

Read the full file on GitHub · 181 lines

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. 1mo ago First seen · 181 lines · 42 tokens per session scan A c87ac95c3f5b

Subscribe to this mod's changes

token-bonding-curves is a skill published in the GitHub repository ccashwell/evm-cortex (131 stars, last pushed 17d ago), licensed MIT. It adds 42 tokens to every session and 1,616 once invoked, about $0.0002 per session on Opus 5.5. 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.