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 report-to-pdfgit 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/report-to-pdf)<a href="https://agentmods.dev/skills/xiaomimimo/mimo-code/report-to-pdf"><img src="https://agentmods.dev/badge/skills/xiaomimimo/mimo-code/report-to-pdf/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/report-to-pdf"><img src="https://agentmods.dev/badge/skills/xiaomimimo/mimo-code/report-to-pdf.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 | $0.00036 | $0.01495 |
| Opus 5.5 | $0.00014 | $0.00598 |
| Sonnet 5.5 | $0.00007 | $0.00299 |
| Haiku 4.5 | $0.00004 | $0.00150 |
Grade A, and why
report-to-pdf 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Report To PDF
Use this skill only when the user explicitly needs a PDF from an existing Data Analytics report, dashboard, or chart artifact. Prefer a static HTML export or another portable report file as the source.
The expected path is static HTML -> browser headless print-to-PDF -> PDF verification. If only a non-portable source exists, create or retrieve the matching static HTML/export source first.
Workflow
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Resolve the static source.
Use an absolute local path to a static HTML report/export or a local URL served from that static export. If the source is a blob stub, sign-in page, redirect page, incomplete viewer, or an app shell that contains boot scripts but not the report content, stop and obtain a static HTML/export source before continuing.
When the user provides a hosted artifact URL, first determine whether it exposes a usable static export or package source. If the static export is unavailable but the validated artifact payload is still available in the current run, create the matching static HTML/export from that payload and preserve source provenance in the handoff. If neither a static export nor the artifact payload is available, stop with a blocker instead of printing the live app shell or rebuilding the report from memory.
When creating or repairing the static source, keep visible metadata reader-facing. Do not copy internal artifact runtime fields, package plumbing, or validator/debug state into the report body, header, footer, or source section. For example, omit raw labels such as snapshot status, package path, widget type, manifest path, renderer IDs, validation status, and local temp paths from the visible PDF. If a runtime detail matters for audit or troubleshooting, preserve it in support notes rather than the visible PDF. Translate data-state caveats into reader language only when they affect interpretation, such as "synthetic demo data" or "partial source coverage."
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Generate the PDF with Chrome CLI headless print-to-PDF.
What ships with it
1 file 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 · 83 lines · 36 tokens per session scan A b145b715178d
report-to-pdf is a skill published in the GitHub repository XiaomiMiMo/MiMo-Code (13,681 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 1,495 once invoked, about $0.0001 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
Read, extract, split, merge, rotate, watermark, fill, OCR, or create PDF files with verification of page counts and text extraction.
ulw-research
Runs maximum-saturation research with a cooperating team, claim-graph gating, and a cited, QA'd deliverable. Use when the user explicitly asks for research or a deep investigation, including any 'ulw' research wording.
recipe-bulk-download-folder
List and download all files from a Google Drive folder.
figures
Makes publication-quality plots from data with matplotlib, learning curves, scaling laws, benchmark and ablation comparisons, Pareto trade-offs, heatmaps and confusion matrices, sized for the page, vector, with uncertainty shown. Use whenever results are plotted, charted or visualized for a paper, report or answer, or…
liteparse
Use this skill when the user asks to parse, perform multi-format document conversion or spatially extract text from an unstructured file (PDF, DOCX, PPTX, XLSX, images, etc.) locally without cloud dependencies.
pandoc
Convert documents between formats (Markdown, DOCX, HTML, PDF, RST, EPUB, LaTeX) via the pandoc CLI. Use to transform a document from one format to another.