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/trtmn/agent-plugins/cowsaynpx skills add trtmn/agent-plugins --skill cowsaygit clone --depth 1 https://github.com/trtmn/agent-pluginsWhat 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 | $0.00034 | $0.00571 |
| Opus 5 | $0.00017 | $0.00285 |
| Sonnet 5 | $0.00007 | $0.00114 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
cowsay 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 2d 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
cowsay
Run the Python cowsay package to show an ASCII cow (or other character) saying the user's custom text.
When to use
- User asks for a cow to say something (e.g. "make a cow say hello", "cowsay hello world").
- User provides custom text they want displayed in cowsay style.
Instructions
- Get the text – Use the exact phrase or sentence the user wants the cow to say. If they didn’t specify, ask or use a short default (e.g. "Hello!").
- Run cowsay – Execute the script (uses
uvx cowsayso no install or local-dir conflict):bash /mnt/skills/user/cowsay/scripts/cowsay.sh "user's text here"- Escape or quote the text so spaces and special characters are preserved.
- Show the result – Present the command output to the user as the cow’s speech bubble.
Usage
bash /mnt/skills/user/cowsay/scripts/cowsay.sh "Your message here"
Requires uv (or run uvx cowsay "Your message here" directly).
Arguments:
- Message text – The line the cow should say (default: use the text the user provided or ask).
Examples:
bash /mnt/skills/user/cowsay/scripts/cowsay.sh "Hello, world!"bash /mnt/skills/user/cowsay/scripts/cowsay.sh "Ship it!"
Output
The tool prints an ASCII-art cow with the given text in a speech bubble. Example:
_____________
< Hello world! >
-------------
\ ^__^
\ (oo)\_______
(__)\ )\/\
||----w |
|| ||
Present results to user
Show the cowsay output in a code block (e.g. preformatted text) so the cow art is aligned correctly.
Troubleshooting
uvx: command not found– Install uv, thenuvx cowsaywill work.- Broken layout – Use a fixed-width font when displaying the output.
- Special characters – Keep the message in quotes so the shell doesn’t split or interpret it.
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.
- 2d ago First seen · 67 lines · 34 tokens per session scan A df31fa70a8ee
cowsay is a skill published in the GitHub repository trtmn/agent-plugins (2 stars, last pushed 5d ago), licensed Unlicense. It adds 34 tokens to every session and 571 once invoked, about $0.0002 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.
Other skills, from other repositories
embedded-captions
Add captions or subtitles to an existing single-subject talking-head video without editing the footage. Use for plain verbatim captions, cinematic captions embedded behind the subject, VFX captions, “炸/特效/酷炫字幕,” or a named identity from the 35-style catalog. Route by visual identity, not by backend engine. The quiet…
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.
chengfeng-check-updates
剪辑环境的唯一管理者：就绪检查（skills 是否最新 → Runtime 是否配套）、Skills 更新激活、Runtime 安装与体检。用户说检查更新、安装剪辑环境、装播放器、检查剪辑环境、剪辑环境就绪了吗、配置转录凭证时使用；业务 Skill（剪口播/字幕/画面/导出）第 0 步也引用本 Skill 的就绪检查。不用于剪辑、字幕、画面、导出本身或项目数据迁移。.