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/build-dashboardnpx skills add XiaomiMiMo/MiMo-Code --skill build-dashboardgit 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 | $0.00028 | $0.00482 |
| Opus 5 | $0.00014 | $0.00241 |
| Sonnet 5 | $0.00006 | $0.00096 |
| Haiku 4.5 | $0.00003 | $0.00048 |
Grade A, and why
build-dashboard 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.
How it starts
The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build a Dashboard
Use this workflow when the user needs a reusable monitoring or exploration surface rather than a one-time report. Read the relevant analysis and KPI workflows first when metric definitions or decision logic are not already settled.
Select a portable surface
Honor the user's destination. Otherwise choose the simplest surface supported by the harness:
- Existing BI/product analytics platform when the user wants a governed shared dashboard there.
- Streamlit when Python execution and local/server operation are appropriate; read
specifications/streamlit-dashboard.md. - Self-contained plain HTML/CSS/vanilla JavaScript for a portable local dashboard; read
specifications/html-dashboard.md.
Do not require React, Vite, Recharts, MCP Apps, or widget runtimes.
Workflow
- Define the audience, operating decision, monitoring cadence, and questions the dashboard must answer.
- Define each metric: formula, numerator/denominator, unit, grain, time window, filters, exclusions, owner, source, and freshness expectation.
- Validate joins, completeness, duplicates, missingness, comparability, and refresh status before presenting metrics as trustworthy.
- Design the information hierarchy:
- Overview and primary outcomes.
- Drivers and diagnostic cuts.
- Guardrails and risks.
- Detail tables or drill-down paths.
- Add only decision-relevant filters. Make default date ranges, segments, comparison periods, and filter state visible.
- Use
../visualize-data/SKILL.mdfor each chart and keep exact lookup values accessible in tables. - Show data freshness, source context, definitions, and material caveats in the dashboard.
- Implement and test the real artifact with representative, empty, partial, and error states when feasible.
QA and handoff
- Reconcile displayed totals and KPIs against reviewed source results.
- Test filters, date boundaries, sorting, responsive layout, and refresh behavior.
- Check chart labels, units, legends, accessibility, and table readability.
- Ensure the artifact does not expose secrets, credentials, unnecessary personal data, or temporary local paths.
- Deliver the dashboard artifact or governed platform link plus metric definitions, source/query files, refresh instructions, and known limitations.
What ships with it
4 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.
- 2d ago First seen · 43 lines · 28 tokens per session scan A 2b638490283a
build-dashboard is a skill published in the GitHub repository XiaomiMiMo/MiMo-Code (12,923 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 482 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.
Other skills, from other repositories
xiaomi-tts
Use this skill when the user wants to convert text to speech using Xiaomi MiMo's TTS models (mimo-v2.5-tts). Uses OpenAI-compatible chat/completions API with audio response. Supports multiple preset voices and custom voice design. Use when 用户提到 语音合成、文字转语音、TTS、朗读、读出来、生成语音、 生成音频、文本转音频、配音、念出来、小米语音、MiMo 语音、小米 TTS。.
byok-custom-model
Register a custom LLM endpoint with your own API key for chat in Starchild. Use when adding a personal Anthropic, OpenAI, Grok, Qwen, DeepSeek, Meta (Muse Spark), NEAR AI, or Venice key as a chat model (e.g. add my Claude key, register DeepSeek, use Muse Spark 1.1).
deepseek-vision
MUST use when the user sends or asks about images, photos, screenshots, pictures, audio, video, or mixed media documents, including requests to OCR/read text from an image. Route all media through Xiaomi MiMo V2.5 (mimo-v2.5) and mimo-v2.5-asr via scripts/mimo.py; never use local OCR, viewimage, native vision…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…