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 saadshahd/moo.md --skill toygit clone --depth 1 https://github.com/saadshahd/moo.mdWrote 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/saadshahd/moo.md/toy)<a href="https://agentmods.dev/skills/saadshahd/moo.md/toy"><img src="https://agentmods.dev/badge/skills/saadshahd/moo.md/toy/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/saadshahd/moo.md/toy"><img src="https://agentmods.dev/badge/skills/saadshahd/moo.md/toy.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 | $0.00034 | $0.00484 |
| Opus 5 | $0.00017 | $0.00242 |
| Sonnet 5 | $0.00007 | $0.00097 |
| Haiku 4.5 | $0.00003 | $0.00048 |
Grade A, and why
toy 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 yesterday.
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
Build the world; the human drives it. Never automate the step they are trying to learn. One behavior per world; cut every control and readout no prediction needs. Drive the real system when it is cheap to run, toy data when it is heavy. A dynamic the system does not show is labeled approximate on screen, never drawn as real.
The world shows what is hidden — the stack, the queue, the cursor, the intermediate value — at every step, scrubbable forward and back, each effect re-rendered beside its cause on every press. Room beside any step to pin a note.
Beside each control that steps or fires, room to say what it will do before pressing; the world sets the prediction beside what happened. The human reads the match; the world never scores it. A miss names the next thing to drive.
| The human lacks | Build | A case that fixes it |
|---|---|---|
| How execution unfolds | Stepper: scrub through time, internals visible at each step | a regex engine on one input: cursor and backtrack stack at every step |
| What a migration, port, or bulk change does | Command center: the human fires each step, before and after side by side | a rename over forty files: one file per press, its before and after together |
| How a structure or algorithm behaves | Objects they can move, values live | a B-tree: drag a key in, watch the split |
| What a parameter or design space does | Sliders with instant re-render | a rate limiter: bucket size and refill rate, the traffic curve redraws on every nudge |
Default medium: one page outside the repo, YYYY-MM-DD-<slug>.html, opened for them (open <path>). Then step out. Held is when their predictions land — theirs to report, not yours to claim. Say what the world leaves approximate.
The reader lacks what it is, not how it behaves → use grasp skill. The world is a playground, demo, or UI → not toy; say so and stop.
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.
- yesterday Changed · -4 lines · -41 tokens per session 0a3ebbc3ea9a
- 9d ago First seen · 26 lines · 75 tokens per session scan A eb734e46949e
toy is a skill published in the GitHub repository saadshahd/moo.md (34 stars, last pushed 2d ago), licensed MIT. It adds 34 tokens to every session and 484 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 2026-08-30.
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