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/xiaomimimo/mimo-code/sharenpx skills add XiaomiMiMo/MiMo-Code --skill sharegit clone --depth 1 https://github.com/XiaomiMiMo/MiMo-CodeWhat 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 | $0.00013 | $0.00375 |
| Opus 5 | $0.00006 | $0.00187 |
| Sonnet 5 | $0.00003 | $0.00075 |
| Haiku 4.5 | $0.00001 | $0.00038 |
Grade A, and why
share 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- product-design-share — 95% identical, 8 lines differ
What it actually says
Share
Deploy the user's runnable prototype so they can share it with others.
Critical Overrides
- Refer to the Plugin router $index before proceeding.
- Follow $critical-overrides.
User Context
Before starting, load $user-context and run its preflight script when local shell access is available.
Use saved product URLs, Figma files, screenshots, reference images, codebase paths, Storybook, tokens, design systems, brand assets, component refs, browser preferences, and share targets as grounding material when relevant.
Do not inspect every saved reference. Inspect only what the current task needs.
Workflow
- Confirm the prototype directory and the user's preferred deployment target.
- If the user invokes Product Design with @Sites, @Vercel, or another deployment tool, treat that as the selected hosting target.
- If the user did not choose a target, ask one question:
Where should I deploy this: @Sites, @Vercel, or another target?
- Use the selected deployment tool when it is available.
- If the selected tool is not available, say that clearly and ask whether to use another target.
- Run the deployment when possible. Do not give setup instructions if you can complete the deployment directly.
- Return the shareable URL.
- State any misses or manual follow-up the user still needs to do.
Rules
- Do not deploy before the user chooses or confirms the target.
- Do not claim the prototype is shared until you have a working URL.
- If the selected tool is not available, say that clearly and ask whether to use another target.
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 · 42 lines · 13 tokens per session scan A 5976cfbc9d86
share is a skill published in the GitHub repository XiaomiMiMo/MiMo-Code (12,904 stars, last pushed 2d ago), licensed MIT. It adds 13 tokens to every session and 375 once invoked, about $0.0001 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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