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 xiaohei-info/oh-my-multica --skill diagram-ascii-artgit clone --depth 1 https://github.com/xiaohei-info/oh-my-multicaWrote 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/xiaohei-info/oh-my-multica/diagram-ascii-art)<a href="https://agentmods.dev/skills/xiaohei-info/oh-my-multica/diagram-ascii-art"><img src="https://agentmods.dev/badge/skills/xiaohei-info/oh-my-multica/diagram-ascii-art/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/xiaohei-info/oh-my-multica/diagram-ascii-art"><img src="https://agentmods.dev/badge/skills/xiaohei-info/oh-my-multica/diagram-ascii-art.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 | $0.00022 | $0.03040 |
| Opus 5.5 | $0.00009 | $0.01216 |
| Sonnet 5.5 | $0.00004 | $0.00608 |
| Haiku 4.5 | $0.00002 | $0.00304 |
Grade B, and why
diagram-ascii-art scanned grade B with 2 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo apt install cowsay -y # Debian/Ubuntu Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
### Usage (via terminal curl) This is a copy
98% identical to ascii-art — 17 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ASCII Art Skill
Multiple tools for different ASCII art needs. All tools are local CLI programs or free REST APIs — no API keys required.
Tool 1: Text Banners (pyfiglet — local)
Render text as large ASCII art banners. 571 built-in fonts.
Setup
pip install pyfiglet --break-system-packages -q
Usage
python3 -m pyfiglet "YOUR TEXT" -f slant
python3 -m pyfiglet "TEXT" -f doom -w 80 # Set width
python3 -m pyfiglet --list_fonts # List all 571 fonts
Recommended fonts
| Style | Font | Best for |
|---|---|---|
| Clean & modern | slant |
Project names, headers |
| Bold & blocky | doom |
Titles, logos |
| Big & readable | big |
Banners |
| Classic banner | banner3 |
Wide displays |
| Compact | small |
Subtitles |
| Cyberpunk | cyberlarge |
Tech themes |
| 3D effect | 3-d |
Splash screens |
| Gothic | gothic |
Dramatic text |
Tips
- Preview 2-3 fonts and let the user pick their favorite
- Short text (1-8 chars) works best with detailed fonts like
doomorblock - Long text works better with compact fonts like
smallormini
Tool 2: Text Banners (asciified API — remote, no install)
Free REST API that converts text to ASCII art. 250+ FIGlet fonts. Returns plain text directly — no parsing needed. Use this when pyfiglet is not installed or as a quick alternative.
Usage (via terminal curl)
# Basic text banner (default font)
curl -s "https://asciified.thelicato.io/api/v2/ascii?text=Hello+World"
# With a specific font
curl -s "https://asciified.thelicato.io/api/v2/ascii?text=Hello&font=Slant"
curl -s "https://asciified.thelicato.io/api/v2/ascii?text=Hello&font=Doom"
curl -s "https://asciified.thelicato.io/api/v2/ascii?text=Hello&font=Star+Wars"
curl -s "https://asciified.thelicato.io/api/v2/ascii?text=Hello&font=3-D"
curl -s "https://asciified.thelicato.io/api/v2/ascii?text=Hello&font=Banner3"
# List all available fonts (returns JSON array)
curl -s "https://asciified.thelicato.io/api/v2/fonts"
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.
- 1mo ago First seen · 324 lines · 22 tokens per session scan B 01e86491962b
diagram-ascii-art is a skill published in the GitHub repository xiaohei-info/oh-my-multica (37 stars, last pushed 17d ago), licensed MIT. It adds 22 tokens to every session and 3,040 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 2 findings (asks for root, makes network calls). It is 98% identical to ascii-art, differing in 17 lines, and is treated as a copy.
Other skills, from other repositories
release-announcement
Write a release announcement — changelog, blog post, in-app note, or social post — that leads with user impact, names the audience, and includes upgrade/migration steps without filler.
index-refresh
Use when an LLM Wiki operation issue requests an index refresh. Rebuild wiki/index.md from the actual wiki tree, reconcile missing/deleted entries, and log counts without editing page bodies.
agentmail
Use your assigned AgentMail inbox to read email tasks, explicitly send or reply, and check delivery. Provided automatically by your inbox assignment.
cw-gates
Use before claiming any Codewhale change is done, green, or ready to land: the focused-to-broad verification ladder, the budget checks CI enforces, and the rules for what counts as a passing test.
interview
Ask one useful structured question at a time only when material product/implementation choices are genuinely missing; remember answers and produce a brief/spec. Discoverable facts should be investigated instead of asked.
verify
Exercise the real app/API/CLI and collect observable evidence; tests alone do not count as end-to-end verification.