Autom Automation
ComposioHQ/awesome-claude-skills
Automate Autom tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
A skill your agent uses when implementing bonding curve token sales, automated market makers with supply-dependent pricing, or continuous token models.
$ npx skills add ccashwell/evm-cortex --skill token-bonding-curves -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ccashwell/evm-cortex token-bonding-curves --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ccashwell/evm-cortex.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/token-bonding-curves .claude/skills/token-bonding-curves && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "token-bonding-curves" agent skill from https://github.com/ccashwell/evm-cortex/tree/main/skills/token-bonding-curves into .claude/skills/token-bonding-curves/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-bonding-curves", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ccashwell/evm-cortex/tree/main/skills/token-bonding-curvesType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ccashwell/evm-cortex --skill token-bonding-curves -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ccashwell/evm-cortex token-bonding-curves --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ccashwell/evm-cortex.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/token-bonding-curves .agents/skills/token-bonding-curves && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "token-bonding-curves" agent skill from https://github.com/ccashwell/evm-cortex/tree/main/skills/token-bonding-curves into .agents/skills/token-bonding-curves/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-bonding-curves", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ccashwell/evm-cortex --skill token-bonding-curves -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ccashwell/evm-cortex token-bonding-curves --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ccashwell/evm-cortex.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/token-bonding-curves .cursor/skills/token-bonding-curves && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "token-bonding-curves" agent skill from https://github.com/ccashwell/evm-cortex/tree/main/skills/token-bonding-curves into .cursor/skills/token-bonding-curves/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-bonding-curves", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ccashwell/evm-cortex.git --path skills/token-bonding-curves--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ccashwell/evm-cortex --skill token-bonding-curves -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ccashwell/evm-cortex token-bonding-curves --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ccashwell/evm-cortex.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/token-bonding-curves .gemini/skills/token-bonding-curves && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "token-bonding-curves" agent skill from https://github.com/ccashwell/evm-cortex/tree/main/skills/token-bonding-curves into .gemini/skills/token-bonding-curves/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-bonding-curves", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ccashwell/evm-cortex token-bonding-curvesInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ccashwell/evm-cortex --skill token-bonding-curves -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ccashwell/evm-cortex.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/token-bonding-curves .github/skills/token-bonding-curves && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "token-bonding-curves" agent skill from https://github.com/ccashwell/evm-cortex/tree/main/skills/token-bonding-curves into .github/skills/token-bonding-curves/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-bonding-curves", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ccashwell/evm-cortex --skill token-bonding-curves -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ccashwell/evm-cortex token-bonding-curves --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ccashwell/evm-cortex.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/token-bonding-curves .opencode/skills/token-bonding-curves && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "token-bonding-curves" agent skill from https://github.com/ccashwell/evm-cortex/tree/main/skills/token-bonding-curves into .opencode/skills/token-bonding-curves/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-bonding-curves", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
token-bonding-curvesA skill your agent uses when implementing bonding curve token sales, automated market makers with supply-dependent pricing, or continuous token models.
Token Bonding Curves is an agent skill from ccashwell/evm-cortex. Use when implementing bonding curve token sales, automated market makers with supply-dependent pricing, or continuous token models. Covers linear, polynomial, logarithmic, and Bancor-style curves.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Ethereum protocol engineering squad for AI coding assistants. The licence is MIT.
Read from SKILL.md and the folder at commit f8f3301. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are solidity).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Token Bonding Curves loads about 1.6k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 205 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from ccashwell/evm-cortex at commit f8f3301, republished under its MIT licence (© ccashwell). 205 words, ~1,615 tokens.
.claude/skills/token-bonding-curves/SKILL.md (or your agent's skills folder).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 | 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 |
// 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 {}
}The Bancor formula uses a Connector Weight (CW) to relate reserve balance, supply, and price:
price = reserveBalance / (supply * CW)
returnAmount = supply * ((1 + depositAmount / reserveBalance)^CW - 1)/// @notice Bancor buy calculation using exponentiation by Taylor series
/// @param supply Current token supply
/// @param reserveBalance Current reserve balance
/// @param reserveRatio Reserve ratio (CW) in PPM (1-1000000)
/// @param depositAmount ETH/token deposited
function calculatePurchaseReturn(
uint256 supply,
uint256 reserveBalance,
uint32 reserveRatio,
uint256 depositAmount
) public pure returns (uint256) {
if (reserveRatio == 1000000) {
// Special case: CW = 100% -> linear
return supply * depositAmount / reserveBalance;
}
// For fractional CW, use Power function (fixed-point math library)
// return supply * (power(1 + depositAmount/reserveBalance, CW) - 1)
}// price = coefficient * supply^exponent
// cost = integral = coefficient * (s1^(exp+1) - s0^(exp+1)) / (exp+1)
function getPolynomialCost(uint256 amount) public view returns (uint256) {
uint256 s0 = totalSupply();
uint256 s1 = s0 + amount;
uint256 exp1 = exponent + 1;
return coefficient * (power(s1, exp1) - power(s0, exp1)) / exp1;
}Add a spread to capture value for the protocol:
uint256 public constant SELL_FEE_BPS = 300; // 3% sell fee
function sell(uint256 amount) external {
uint256 grossProceeds = getSellProceeds(amount);
uint256 fee = grossProceeds * SELL_FEE_BPS / 10000;
uint256 netProceeds = grossProceeds - fee;
// fee stays in reserve, increasing price floor for remaining holders
}nonReentrant (ETH transfers create reentrancy risk)supply^n calculations for polynomial curves© ccashwell, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/token-bonding-curves of ccashwell/evm-cortex.
Open the folder on GitHubat commit f8f3301
Token Bonding Curves next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Token Bonding Curves this skillccashwell/evm-cortex | 131 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Autom AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~723 | Automated safety check: Pass | None | |
| Doppler Marketing Automation AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~809 | Automated safety check: Pass | None | |
| Suggest Automationsn8n-io/n8n | 207k | — | ~2k | Automated safety check: Pass | Custom licence | |
| Aero Workflow AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~753 | Automated safety check: Pass | None | |
| Anchor Browser AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~757 | Automated safety check: Pass | None |
ComposioHQ/awesome-claude-skills
Automate Autom tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
ComposioHQ/awesome-claude-skills
Automate Doppler Marketing Automation tasks via Rube MCP (Composio).
n8n-io/n8n
Offer the three most common automations for a user as a single-choice card, from your own knowledge of their team and their apps, then build the one they choose once they confirm, or offer more.
ComposioHQ/awesome-claude-skills
Automate Aero Workflow tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
ComposioHQ/awesome-claude-skills
Automate Anchor Browser tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
github/awesome-copilot
Analyze a screen recording of a manual process and produce targeted, working automation scripts.
ccashwell/evm-cortex
A skill your agent uses when preparing for a security audit, performing reconnaissance on a new codebase, or creating a protocol overview.
ccashwell/evm-cortex
A skill your agent uses when integrating with Aave V3 for lending, borrowing, flash loans, or building on top of Aave markets.
ccashwell/evm-cortex
Access control design patterns for Solidity protocols. An agent skill from ccashwell/evm-cortex.
ccashwell/evm-cortex
A skill your agent uses when running a local Ethereum node with Anvil.
ccashwell/evm-cortex
A skill your agent uses when performing systematic breadth-first review of all contracts during a security audit.
ccashwell/evm-cortex
A skill your agent uses when performing deep analysis of specific findings or high-risk areas during a security audit.
A skill your agent uses when implementing bonding curve token sales, automated market makers with supply-dependent pricing, or continuous token models. Token Bonding Curves is an agent skill from ccashwell/evm-cortex. Use when implementing bonding curve token sales, automated market makers with supply-dependent pricing, or continuous token models.
Token Bonding Curves fits situations like: implementing bonding curve token sales; automated market makers with supply-dependent pricing; continuous token models.
Run `npx skills add ccashwell/evm-cortex --skill token-bonding-curves -a claude-code`. Or copy the skill folder (skills/token-bonding-curves in ccashwell/evm-cortex) into .claude/skills/token-bonding-curves in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ccashwell/evm-cortex --skill token-bonding-curves -a codex`. Or copy the skill folder (skills/token-bonding-curves in ccashwell/evm-cortex) into .agents/skills/token-bonding-curves in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ccashwell/evm-cortex --skill token-bonding-curves -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/token-bonding-curves, .gemini/skills/token-bonding-curves, .github/skills/token-bonding-curves and .opencode/skills/token-bonding-curves in your project.
SKILL.md names no scripts, command-line tools or credentials: Token Bonding Curves is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Token Bonding Curves is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Token Bonding Curves: Autom Automation (ComposioHQ/awesome-claude-skills, 77k stars), Doppler Marketing Automation Automation (ComposioHQ/awesome-claude-skills, 77k stars), Suggest Automations (n8n-io/n8n, 207k stars) and Aero Workflow Automation (ComposioHQ/awesome-claude-skills, 77k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ccashwell (a GitHub user) maintains it in ccashwell/evm-cortex, which has 131 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on September 30, 2026.
Source: ccashwell/evm-cortex on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.