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 claude-codegit 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/claude-code)<a href="https://agentmods.dev/skills/xiaomimimo/mimo-code/claude-code"><img src="https://agentmods.dev/badge/skills/xiaomimimo/mimo-code/claude-code/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/claude-code"><img src="https://agentmods.dev/badge/skills/xiaomimimo/mimo-code/claude-code.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Excessive Agency · line 44 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- high Excessive Agency · line 45 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- high Excessive Agency · line 46 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- high Excessive Agency · line 47 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- high Excessive Agency · line 55 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00049 | $0.01352 |
| Opus 5.5 | $0.00020 | $0.00541 |
| Sonnet 5.5 | $0.00010 | $0.00270 |
| Haiku 4.5 | $0.00005 | $0.00135 |
Grade A, and why
claude-code 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Code Delegation
Delegate coding work to Claude Code, Anthropic's autonomous coding agent CLI.
Setup (once): npm install -g @anthropic-ai/claude-code && claude auth login · verify with claude auth status / claude doctor. CI token: claude setup-token. Full auth/install variants → references/flags.md.
Platform check (before running anything): detect the OS first. All shell examples in this skill are POSIX (bash). Linux/macOS run them as-is. On Windows, run Claude Code natively in PowerShell/Git Bash for print and background modes, but interactive tmux orchestration requires WSL. Shell-syntax translation table (quoting, env vars, piping, paths) → references/platforms.md.
Mode Selection (decide FIRST)
| Task shape | Mode | Why |
|---|---|---|
| One-shot task: fix bug, add feature, review diff, extract data | Print -p ← default |
No PTY, no dialogs, structured output |
| Multi-turn iterate: refactor → review → fix → test; needs slash commands | Interactive tmux → references/interactive-tmux.md |
Full REPL, requires dialog handling |
| Long-running, shouldn't block; large fan-out supervision | Background --bg |
Native supervision via claude agents |
| High-stakes PR review | claude ultrareview [pr#] |
Cloud multi-agent, exit-code driven (uploads diff to cloud — never on branches with secrets) |
Do NOT hand-roll tmux fan-outs for parallel work — prefer --bg + claude agents --json --all.
Print Mode (the 90% path)
terminal(command="claude -p 'Fix the auth bug in src/auth.py' \
--allowedTools 'Read,Edit' --max-turns 10 --output-format json",
workdir="/path/to/project", timeout=180)
Always set: workdir · --max-turns (5–10; print-mode only) · --allowedTools (least privilege: Read,Edit,Write,Bash, patterns like Bash(git *)).
JSON result fields: result (text) · session_id (for resume) · subtype (success | error_max_turns | error_budget) · total_cost_usd · num_turns · structured_output (with --json-schema).
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 · 80 lines · 49 tokens per session scan A a480900d1646
claude-code is a skill published in the GitHub repository XiaomiMiMo/MiMo-Code (13,664 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 1,352 once invoked, about $0.0002 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.
Other skills, from other repositories
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
interview
Ask one useful structured question at a time only when material product/implementation choices are genuinely missing; remember answers and produce a brief/spec. Discoverable facts should be investigated instead of asked.
atmos-validation
Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.
atmos-config
Atmos root configuration: atmos.yaml discovery, precedence, deep merging, basepath, imports, minimal bootstrap, and routing to narrower Atmos skills.
deck-retro
Run a fully local agent-deck retrospective over the user's own transcripts, Recall index and logs. Use when a user wants to find recurring failures or take their own finding from investigation through synthetic reproduction, a user-filed issue, a test-first fix and contributor PR handoff. Also use for weekly usage…
restore-internals-seams-in-finally-blocks-after-each-test
When delegating a task affected by this skill, include.