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 san-npm/skills-ws --skill ascii-bannergit clone --depth 1 https://github.com/san-npm/skills-wsWrote 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/san-npm/skills-ws/ascii-banner)<a href="https://agentmods.dev/skills/san-npm/skills-ws/ascii-banner"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/ascii-banner/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/san-npm/skills-ws/ascii-banner"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/ascii-banner.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 | $0.00074 | $0.04145 |
| Opus 5 | $0.00037 | $0.02073 |
| Sonnet 5 | $0.00015 | $0.00829 |
| Haiku 4.5 | $0.00007 | $0.00415 |
Grade A, and why
ascii-banner scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 391 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Animated ASCII Banners
Overview
Animated ASCII banners create personality in CLI tools and terminal-aesthetic web UIs. This skill covers both terminal-native (Node.js/Python CLI) and web-based (canvas/WebGL) implementations.
Key challenges: Terminal inconsistency, ANSI color fragmentation, screen reader accessibility, flicker prevention, and cross-platform rendering.
Part 1: Terminal ASCII Animation (CLI)
1. Frame-Based Animation Architecture
project/
frames/ # Each .txt file is one animation frame
frame-001.txt
frame-002.txt
...
colors/ # Color map per frame (optional)
frame-001.json
src/
renderer.ts # Animation engine
palette.ts # ANSI color role mapping
detect.ts # Terminal capability detection
2. Basic Animation Loop (Node.js)
import fs from "fs";
import readline from "readline";
const frames = fs
.readdirSync("./frames")
.filter(f => f.endsWith(".txt"))
.sort()
.map(f => fs.readFileSync(`./frames/${f}`, "utf8"));
let current = 0;
let running = true;
function render() {
if (!running) return;
readline.cursorTo(process.stdout, 0, 0);
readline.clearScreenDown(process.stdout);
process.stdout.write(frames[current]);
current = (current + 1) % frames.length;
}
// 75ms = ~13fps — safe for most terminals
const interval = setInterval(render, 75);
// Graceful cleanup
process.on("SIGINT", () => {
running = false;
clearInterval(interval);
readline.cursorTo(process.stdout, 0, 0);
readline.clearScreenDown(process.stdout);
process.exit(0);
});
// Auto-stop after one loop
setTimeout(() => {
clearInterval(interval);
running = false;
}, frames.length * 75);
3. ANSI Color System
Use semantic color roles, not hardcoded values. Terminals remap colors based on user themes.
// Color role mapping — degrade gracefully across terminals
const ANSI_ROLES = {
primary: "\x1b[32m", // Green (accent)
secondary: "\x1b[36m", // Cyan
highlight: "\x1b[97m", // Bright white
shadow: "\x1b[90m", // Dark gray
dim: "\x1b[2m", // Dim modifier
reset: "\x1b[0m",
};
function colorize(char, role) {
if (!role || role === "none") return char;
return `${ANSI_ROLES[role] || ""}${char}${ANSI_ROLES.reset}`;
}
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 391 lines · 74 tokens per session scan A 20ba635b748f
ascii-banner is a skill published in the GitHub repository san-npm/skills-ws (2 stars, last pushed 5d ago), licensed MIT. It adds 74 tokens to every session and 4,145 once invoked, about $0.0004 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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