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 learngit 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/learn)<a href="https://agentmods.dev/skills/saadshahd/moo.md/learn"><img src="https://agentmods.dev/badge/skills/saadshahd/moo.md/learn/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/learn"><img src="https://agentmods.dev/badge/skills/saadshahd/moo.md/learn.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 | $0.00270 |
| Opus 5 | $0.00017 | $0.00135 |
| Sonnet 5 | $0.00007 | $0.00054 |
| Haiku 4.5 | $0.00003 | $0.00027 |
Grade A, and why
learn 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
Identify who must hold it, what they lack; clarify with the user what the conversation lacks.
Route by what they lack, invoking the named skill with the Skill tool:
- Something they must understand deeply and be quizzed on → use grasp skill.
- How something behaves, and reading has not made it intuitive → use toy skill.
- One thing an audience — the user counts — must keep → use land skill.
Route again while a move's gate shows something else lacked. Run no move nothing lacked calls for.
End on one line, with what stays open:
- Held — the reader said it back in their own words, or passed the move's gate. Never from silence, a half-done gate, or an opened artifact.
- Not yet — the gate showed what they still lack; name it and re-run the move on it. The user stopping before held is not yet, said so.
Nothing built yet → deciding comes first, not hold's. One view or one plain line would make the point, or the artifact is the product → not hold's. Say which and stop.
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 First seen · 22 lines · 34 tokens per session scan A 97dc372ca756
learn 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 270 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 2026-09-07.
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