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 agentmods add skills/ideoshi/glyphloop/ascii-animationnpx skills add ideoshi/glyphloop --skill ascii-animationgit clone --depth 1 https://github.com/ideoshi/glyphloopWrote 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/ideoshi/glyphloop/ascii-animation)<a href="https://agentmods.dev/skills/ideoshi/glyphloop/ascii-animation"><img src="https://agentmods.dev/badge/skills/ideoshi/glyphloop/ascii-animation.svg" alt="Measured on agentmods" 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 | $0.00051 | $0.00368 |
| Opus 5 | $0.00026 | $0.00184 |
| Sonnet 5 | $0.00010 | $0.00074 |
| Haiku 4.5 | $0.00005 | $0.00037 |
Grade A, and why
ascii-animation 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 4d 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.
What it actually says
Generating ASCII animations
-
Read
AGENTS.mdfor the preset schema and per-source parameter tables. -
Author a preset - start from a file in
presets/and change only what the request needs (source, colors, size, duration, seed). -
Render headless:
npm run render -- --preset <preset.json> --out <dir> # web embed npm run render -- --json '<inline-json>' --out <dir> --format terminal -
The command prints a JSON summary. On
error:output, the message lists valid options - fix the preset and retry. -
For websites, deliver
frames.json+player.jsand this snippet:<div data-ascii-player></div> <script>window.ASCII_DATA = /* frames.json contents */;</script> <script src="player.js"></script>
Headless sources: flowfield, waves, blobs, rain, shapes3d, expr
(custom brightness expression), parametric3d (custom 3D surface).
Image/video/text base layers, color inheritance, and PNG/GIF/MP4 export need
the editor UI (npm run dev, port 5199). Iterate on look by changing seed first, then params. Verify
output by serving the out dir and checking the demo index.html.
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.
- 4d ago First seen · 33 lines · 51 tokens per session scan A a043c8c2bc64
ascii-animation is a skill published in the GitHub repository ideoshi/glyphloop (0 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 368 once invoked, about $0.0003 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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