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.
git clone --depth 1 https://github.com/moco-ai/mocoWrote 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/commands/moco-ai/moco/explain)<a href="https://agentmods.dev/commands/moco-ai/moco/explain"><img src="https://agentmods.dev/badge/commands/moco-ai/moco/explain/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/commands/moco-ai/moco/explain"><img src="https://agentmods.dev/badge/commands/moco-ai/moco/explain.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 | $0.00012 | $0.00072 |
| Opus 5.5 | $0.00005 | $0.00029 |
| Sonnet 5.5 | $0.00002 | $0.00014 |
| Haiku 4.5 | $0.00001 | $0.00007 |
Grade A, and why
explain 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 2mo 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
以下のコードの内容を、初心者にもわかりやすく段階を追って解説してください:
{{code}}
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.
- 2mo ago First seen · 12 lines · 12 tokens per session scan A 62b04737b3e0
explain is a command published in the GitHub repository moco-ai/moco (20 stars, last pushed 9mo ago), licensed MIT. It adds 12 tokens to every session and 72 once invoked, about $0.0000 per session on Opus 5.5. 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.
explain compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| explainmoco-ai/moco | Command | 20 | 9mo ago | MIT | A | 12 | Claude Code |
| train-executorfrankxai/Starlight-Intelligence-System | Command | 10 | yesterday | MIT | A | 52 | Claude Code |
| training-coach-trainerfrankxai/Starlight-Intelligence-System | Command | 10 | yesterday | MIT | A | 72 | Claude Code |
| training-curriculumfrankxai/Starlight-Intelligence-System | Command | 10 | yesterday | MIT | A | 62 | Claude Code |
| training-measure-transferfrankxai/Starlight-Intelligence-System | Command | 10 | yesterday | MIT | A | 61 | Claude Code |
| training-program-designfrankxai/Starlight-Intelligence-System | Command | 10 | yesterday | MIT | A | 68 | Claude Code |
| training-scenariosfrankxai/Starlight-Intelligence-System | Command | 10 | yesterday | MIT | A | 75 | Claude Code |