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 xlsx-officialgit 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/xlsx-official)<a href="https://agentmods.dev/skills/xiaomimimo/mimo-code/xlsx-official"><img src="https://agentmods.dev/badge/skills/xiaomimimo/mimo-code/xlsx-official/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/xlsx-official"><img src="https://agentmods.dev/badge/skills/xiaomimimo/mimo-code/xlsx-official.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 | $0.00193 | $0.03081 |
| Opus 5 | $0.00097 | $0.01541 |
| Sonnet 5 | $0.00039 | $0.00616 |
| Haiku 4.5 | $0.00019 | $0.00308 |
Grade A, and why
xlsx-official 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 6d 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
XLSX Skill
An Apache-2.0 toolkit for producing, editing, and reading Microsoft Excel
(.xlsx) files. Written from scratch against the public
ECMA-376 / ISO/IEC 29500 (SpreadsheetML)
specification and built on permissively-licensed tooling
(openpyxl MIT, pandas BSD-3-Clause, lxml BSD-3-Clause,
optional xlsxwriter BSD-2-Clause, optional external binary soffice
MPL 2.0) so it can be reused in commercial projects without restriction.
Decision matrix
| Situation | Path | Read first |
|---|---|---|
| Build a workbook from a prompt / dataframe / raw values | Author with openpyxl (formulas + formatting) or pandas (bulk data) |
create.md |
Edit an existing .xlsx — add rows, patch cells, refresh formulas |
Load with openpyxl, preserve formulas & styles |
edit.md |
| Only need to read the data out (analysis, ETL, quick QA) | pandas.read_excel + openpyxl for structural inspection |
read.md |
| Clean, aggregate, or transform tabular data before writing back | pandas pipeline, then hand back to openpyxl for final polish | analyze.md |
| Deep structural edits (custom XML parts, defined names, VBA-free surgery) | Unpack → edit XML → repack | edit.md → Raw XML workflow |
| Recompute formula values before shipping | scripts/bake.py via LibreOffice |
see QA below |
If the task mixes several of these, do them in this order: read → plan → edit/create → recalc → validate.
One-time environment setup
Bundled runtime: when the
MIMO_PYTHONenvironment variable is set, skip the pip installs below — run every command withpython3/uv runreplaced by"$MIMO_PYTHON"(e.g."$MIMO_PYTHON" scripts/overview.py book.xlsx). openpyxl/pandas/lxml/xlsxwriter are preinstalled in that interpreter; pip console scripts are unavailable, so always go through"$MIMO_PYTHON" -m <module>. A bundled LibreOffice (forbake.py/pdf_out.py) is exposed asMIMO_SOFFICEand picked up automatically.
What ships with it
15 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.
- analyze.md 7.3 KB
- create.md 12 KB
- edit.md 11 KB
- LICENSE 1.5 KB
- read.md 8.2 KB
- README.md 4.3 KB
- scripts/assemble.py 2.6 KB runs code
- scripts/audit.py 5.6 KB runs code
- scripts/bake.py 7.7 KB runs code
- scripts/csv_out.py 4.5 KB runs code
- scripts/explode.py 2.1 KB runs code
- scripts/overview.py 4.4 KB runs code
- scripts/pdf_out.py 2.7 KB runs code
- scripts/runtime/__init__.py 104 B runs code
- scripts/runtime/libreoffice.py 3.5 KB runs code
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.
- 6d ago First seen · 219 lines · 193 tokens per session scan A 1589e7ea3ad8
xlsx-official is a skill published in the GitHub repository XiaomiMiMo/MiMo-Code (12,997 stars, last pushed yesterday), licensed MIT. It adds 193 tokens to every session and 3,081 once invoked, about $0.0010 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 2026-09-03.
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