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 data-analyticsgit 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/data-analytics)<a href="https://agentmods.dev/skills/xiaomimimo/mimo-code/data-analytics"><img src="https://agentmods.dev/badge/skills/xiaomimimo/mimo-code/data-analytics/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/data-analytics"><img src="https://agentmods.dev/badge/skills/xiaomimimo/mimo-code/data-analytics.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 | $0.00056 | $0.00717 |
| Opus 5.5 | $0.00022 | $0.00287 |
| Sonnet 5.5 | $0.00011 | $0.00143 |
| Haiku 4.5 | $0.00006 | $0.00072 |
Grade A, and why
data-analytics 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 — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Analytics
This is the single entry point for a code-agent-oriented Data Analytics bundle. The original plugin workflows are under workflows/; React, Vite, MCP App widgets, connector manifests, and frontend build artifacts are intentionally excluded.
Route the request
- Read
workflows/index/SKILL.mdcompletely. Treat it as the authoritative plugin-level eligibility and analytical routing policy, except where its UI/runtime delivery rules conflict with the code-agent overrides below. - Select the narrowest focused workflow named by that index. Read every selected workflow's
SKILL.mdcompletely before acting. - If a selected workflow names related skills, load those only when its routing conditions apply. Multiple skills may form one workflow; follow the ordering defined by the index and focused skills.
- Resolve relative links from the file that contains the link. Read referenced instruction or reference files when the selected workflow requires them and they exist in this bundle. Prefer bundled scripts and sample data over recreating them.
- Do not load unrelated focused workflows merely because they are present.
Bundled capabilities
Focused workflows live in workflows/, including data-quality analysis, business-context gathering, metric diagnostics, product/business analysis, KPI design and reporting, visualization, dashboards, reports, notebooks, market sizing, validation, and semantic-layer creation.
Use data sources and tools only when the host harness exposes them. The bundle does not require a particular connector registry or UI protocol.
Code-agent delivery overrides
These rules take precedence over MCP App, widget, native Work Mode, and packaged Recharts delivery rules inherited from the original workflows:
- Never require or call
render_artifact,render_chart,render_table,validate_artifact,export_artifact_package,charts_widget_v2, orapp_blockunless the user independently provides an equivalent tool and explicitly requests it. - Default transient answers to concise Markdown with source notes. Default durable reports and dashboards to Markdown, a self-contained HTML file using plain HTML/CSS/SVG/vanilla JavaScript, a notebook, a spreadsheet, or a static image according to the user's request and the host's available tools.
- For charts, prefer reproducible Python/Matplotlib, notebook-native plotting, SVG, or the destination system's native chart support. Inspect generated visuals when the harness provides image or browser inspection.
- Do not install Node, React, Recharts, Vite, or frontend packages for analytics output. Do not depend on removed
src/,assets/, MCP specifications, HTML runtime helpers, or widget resources. - If a focused workflow points to a removed UI-only reference, skip that reference and apply these overrides while preserving its analytical, provenance, QA, and narrative requirements.
- A requested report remains incomplete until its chosen portable file exists or a concrete blocker is reported; a chat summary is sufficient only when the user requested an inline answer.
What ships with it
60 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.
- assets/demo-product-growth.csv 1.4 KB
- workflows/analyze-data-quality/agents/openai.yaml 284 B
- workflows/analyze-data-quality/SKILL.md 10 KB
- workflows/build-dashboard/agents/openai.yaml 348 B
- workflows/build-dashboard/SKILL.md 2.4 KB
- workflows/build-dashboard/specifications/bi-platform-dashboard.md 1.6 KB
- workflows/build-dashboard/specifications/html-dashboard.md 1.0 KB
- workflows/build-dashboard/specifications/streamlit-dashboard.md 4.4 KB
- workflows/build-report/agents/openai.yaml 305 B
- workflows/build-report/report-to-google-doc/agents/openai.yaml 304 B
- workflows/build-report/report-to-google-doc/scripts/report_to_google_doc_plan.py 212 B runs code
- workflows/build-report/report-to-google-doc/scripts/report_to_google_doc/__init__.py 45 B runs code
- workflows/build-report/report-to-google-doc/scripts/report_to_google_doc/cli.py 1.9 KB runs code
- workflows/build-report/report-to-google-doc/scripts/report_to_google_doc/constants.py 2.1 KB runs code
- workflows/build-report/report-to-google-doc/scripts/report_to_google_doc/docx_writer.py 12 KB runs code
- workflows/build-report/report-to-google-doc/scripts/report_to_google_doc/html_parser.py 28 KB runs code
- workflows/build-report/report-to-google-doc/scripts/report_to_google_doc/model.py 1017 B runs code
- workflows/build-report/report-to-google-doc/scripts/report_to_google_doc/plan.py 4.6 KB runs code
- workflows/build-report/report-to-google-doc/scripts/report_to_google_doc/quality.py 14 KB runs code
- workflows/build-report/report-to-google-doc/scripts/report_to_google_doc/rendering.py 23 KB runs code
- workflows/build-report/report-to-google-doc/scripts/report_to_google_doc/table_utils.py 1.5 KB runs code
- workflows/build-report/report-to-google-doc/scripts/report_to_google_doc/utils.py 355 B runs code
- workflows/build-report/report-to-google-doc/SKILL.md 6.7 KB
- workflows/build-report/report-to-google-slides/agents/openai.yaml 298 B
- workflows/build-report/report-to-google-slides/scripts/report_to_google_slides.py 76 KB runs code
- workflows/build-report/report-to-google-slides/SKILL.md 4.2 KB
- workflows/build-report/report-to-pdf/agents/openai.yaml 289 B
- workflows/build-report/report-to-pdf/SKILL.md 7.3 KB
- workflows/build-report/SKILL.md 3.4 KB
- workflows/create-data-context/agents/openai.yaml 290 B
- workflows/create-data-context/plugin-author-config/automation-config.md 1.8 KB
- workflows/create-data-context/plugin-author-config/source-category-config.json 1.9 KB
- workflows/create-data-context/references/automation.md 5.9 KB
- workflows/create-data-context/references/semantic-layer/connector-playbook.md 7.8 KB
- workflows/create-data-context/references/semantic-layer/skill-template.md 5.8 KB
- workflows/create-data-context/references/semantic-layer/source-intake.md 6.6 KB
- workflows/create-data-context/references/semantic-layer/weekly-polling-automation.md 6.8 KB
- workflows/create-data-context/scripts/data_analytics_preflight.py 6.4 KB runs code
- workflows/create-data-context/scripts/record_plugin_install_suppression.py 3.2 KB runs code
- workflows/create-data-context/scripts/validate_data_context_contract.py 6.1 KB runs code
- workflows/create-data-context/SKILL.md 7.2 KB
- workflows/create-data-context/tests/test_state_helpers.py 11 KB runs code
- workflows/design-kpis/agents/openai.yaml 281 B
- workflows/design-kpis/SKILL.md 8.8 KB
- workflows/gather-business-context/agents/openai.yaml 273 B
- workflows/gather-business-context/SKILL.md 7.3 KB
- workflows/index/agents/openai.yaml 248 B
- workflows/index/SKILL.md 3.9 KB
- workflows/jupyter-notebooks/agents/openai.yaml 292 B
- workflows/jupyter-notebooks/SKILL.md 7.5 KB
- workflows/kpi-reporting/agents/openai.yaml 278 B
- workflows/kpi-reporting/references/report-templates.md 2.5 KB
- workflows/kpi-reporting/SKILL.md 12 KB
- workflows/market-sizing/agents/openai.yaml 300 B
- workflows/market-sizing/SKILL.md 8.0 KB
- workflows/metric-diagnostics/agents/openai.yaml 292 B
- workflows/metric-diagnostics/SKILL.md 9.9 KB
- workflows/product-business-analysis/agents/openai.yaml 295 B
- workflows/product-business-analysis/SKILL.md 10 KB
- workflows/validate-data/agents/openai.yaml 287 B
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 · 41 lines · 56 tokens per session scan A 3ea1e52d23ea
data-analytics is a skill published in the GitHub repository XiaomiMiMo/MiMo-Code (13,664 stars, last pushed yesterday), licensed MIT. It adds 56 tokens to every session and 717 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.