Peter Steinberger steipete

Twitter Mention Blocklist Policy

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Block immediately

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Zeno Skill for Clawdbot

A wrapper skill that integrates Zeno recursive codebase analysis with Clawdbot.

Quick Start

Copy this folder to ~/.clawdbot/skills/zeno/
Clone the main Zeno repo for runtime configs:

git clone https://github.com/anth0nylawrence/zeno.git /tmp/zeno-upstream

Delete unused or obsolete files when your changes make them irrelevant (refactors, feature removals, etc.), and revert files only when the change is yours or explicitly requested. If a git operation leaves you unsure about other agents' in-flight work, stop and coordinate instead of deleting.
Before attempting to delete a file to resolve a local type/lint failure, stop and ask the user. Other agents are often editing adjacent files; deleting their work to silence an error is never acceptable without explicit approval.
NEVER edit .env or any environment variable files—only the user may change them.
Coordinate with other agents before removing their in-progress edits—don't revert or delete work you didn't author unless everyone agrees.
Moving/renaming and restoring files is allowed.
ABSOLUTELY NEVER run destructive git operations (e.g., git reset --hard, rm, git checkout/git restore to an older commit) unless the user gives an explicit, written instruction in this conversation. Treat t

build swagent swift cli and test it yourself until it works. use this development key for testing with openai API:

1) Docs — the exact contract (Responses API, tools, streaming, chaining)

Endpoints

Create/continue a response: POST https://api.openai.com/v1/responses

Perfect—let’s make the whole guide Swift‑native and wire it to gpt-5-codex as the default model. This version shows the Responses API tool‑calling loop, built‑in tools (web search), custom tools, structured outputs (text.format), and streaming.

Why gpt-5-codex? It’s a GPT‑5 variant optimized for agentic coding and is Responses‑only—built to drive coding agents (think Codex/CLI/IDE workflows). ([OpenAI][1]) Structured outputs + function/tool calling + previous_response_id are the core building blocks in Responses. ([OpenAI Platform][2]) Prompting tips for this model differ slightly from plain GPT‑5; the cookbook notes it’s Responses‑only and has a few behavior differences. ([OpenAI Cookbook][3])

	#!/usr/bin/env python3
	"""MCP helper CLI using definitions from config/mcp_servers.json.

	This script powers the `pnpm mcp:*` helpers. Typical invocations:

	pnpm mcp:list
	pnpm mcp:list chrome-devtools --schema
	pnpm mcp:call playwright.browser_tabs action=list
	pnpm mcp:call chrome-devtools.evaluate_script --args '{"function":"() => document.title"}'
	pnpm mcp:call context7.get_library_docs topic=hooks tokens=1500

	#!/usr/bin/env bash

	set -euo pipefail

	usage() {
	printf 'Usage: %s "commit message" "file" ["file" ...]\n' "$(basename "$0")" >&2
	exit 2
	}

	if [ "$#" -lt 2 ]; then

	use objc::{msg_send, sel, sel_impl};
	use rand::{distributions::Alphanumeric, Rng};
	use tauri::{
	plugin::{Builder, TauriPlugin},
	Manager, Runtime, Window,
	}; // 0.8

	const WINDOW_CONTROL_PAD_X: f64 = 15.0;
	const WINDOW_CONTROL_PAD_Y: f64 = 23.0;

	export const GET = apiHandlers.withAdminAuth(async (request) => {
	const url = new URL(request.url);
	const sampleCount = Math.min(Number(url.searchParams.get('samples')) \|\| 20, 100);
	const includeQueries = url.searchParams.get('queries')?.split(',') \|\| Object.keys(standardTestQueries);

	// Create instances for both drivers
	const postgresDb = createKyselyWithDriver('postgres');
	const neonDb = createKyselyWithDriver('neon');

	try {

	#!/usr/bin/env bun
	"use strict";

	const fs = require("fs");
	const { execSync } = require("child_process");
	const path = require("path");

	// ANSI color constants
	const c = {
	cy: '\033[36m', // cyan