MiMoCode is a terminal-based AI coding assistant that reads and writes code, runs commands, manages Git, and remembers project context across sessions. Developers use it to work with software projects through a command-line interface and connect it to language-model providers; the catalogue includes skills and instructions for it.
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 XiaomiMiMo/MiMo-Code --skill user-contextgit clone --depth 1 https://github.com/XiaomiMiMo/MiMo-CodeWrote 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/xiaomimimo/mimo-code/user-context)<a href="https://agentmods.dev/skills/xiaomimimo/mimo-code/user-context"><img src="https://agentmods.dev/badge/skills/xiaomimimo/mimo-code/user-context/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/xiaomimimo/mimo-code/user-context"><img src="https://agentmods.dev/badge/skills/xiaomimimo/mimo-code/user-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00086 | $0.01240 |
| Opus 5.5 | $0.00034 | $0.00496 |
| Sonnet 5.5 | $0.00017 | $0.00248 |
| Haiku 4.5 | $0.00009 | $0.00124 |
Grade A, and why
user-context 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Context
User Context stores the product and design references a designer uses often, so future Product Design work starts from the right sources.
Use this skill when the user asks to:
- set up Product Design
- get started with Product Design
- onboard with Product Design
- save product or design sources
- see what Product Design remembers
- update saved product or design context
- remember a Product Design preference
- setup my plugin
Critical Overrides
- Refer to the Plugin router $index before proceeding.
- Follow $critical-overrides.
- Before offering onboarding or saving context for future conversations, confirm that local shell access is available,
$CODEX_HOMEcan be resolved, and$CODEX_HOME/state/plugins/product-design/exists and is writable or can be created in a writable parent directory. Ifuser-context.mdalready exists, confirm that it is writable too. - If any check cannot be completed or fails, persistent context is unavailable. Do not offer saved-context onboarding or claim that new context was saved for future conversations. If the user asks to save something, explain that it can be used in the current conversation but not saved for future conversations.
Saved User Context
If user-context.md exists, use it by default.
Use saved product URLs, Figma files, screenshots, reference images, codebase paths, Storybook, tokens, design systems, brand assets, component refs, browser preferences, and share targets to ground Product Design work.
Ideation, prototypes, audits, clones, and critiques should match the saved product context unless the user asks for something different.
When a workflow needs visual grounding, attach or include relevant saved screenshots, reference images, tokens, design language, and component references in ImageGen, ideation, prototype, audit, and critique work.
State File
Saved context lives here:
$CODEX_HOME/state/plugins/product-design/user-context.md
What ships with it
5 files 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.
- 1mo ago First seen · 150 lines · 86 tokens per session scan A 5690a7f99cf8
user-context is a skill published in the GitHub repository XiaomiMiMo/MiMo-Code (13,722 stars, last pushed 3d ago), licensed MIT. It adds 86 tokens to every session and 1,240 once invoked, about $0.0003 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.
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